Software Engineering Director

na Canonical no Kuwait
Publicado em January 8, 2024
Detalhes do emprego

This is the general track for Engineering Director at Canonical, apply here if you are confident to run a project which spans teams and time zones, hiring and managing engineering managers and staff engineers. Canonical’s largest software products are built by multiple teams working together under a single director of engineering. Once you have passed the first round of interviews we will discuss specific software products which would be a good fit for your interests. We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering directors set the pace and the direction to help teams achieve more than they realised they could, and feel proud of the result. Even though this is a senior management position, managing managers, we expect Engineering Directors to be outstanding developers with the confidence to lead by example across the full range of activities in their teams. You need to understand what great code looks like in the language and genre of your product - whether that is a web service, or a system daemon, or a desktop application, or a distributed system. You’ll need to know how to drive testing and benchmarking to improve the clarity in your teams around quality and performance. You’ll also need to be confident to set and defend high expectations of work ethic, consistency, focus and learning. We have director level roles across a wide range of engineering domains, including:
Python and Golang
C / C++ / Rust
Data infrastructure
HTML / CSS / JavaScript / Typescript / React
Flutter
Distro packaging and systems
SAAS and web microservices
Kernel
Servers
Graphics, Browser and Desktop
Silicon enablement and embedded devices
Product Security
If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: The role is remote, with positions available in all time zones. It includes a requirement for global travel for twice per year, for trips up to two weeks long.
What you’ll do

Lead multiple teams of engineers, ranging from graduate to senior
Develop your engineering managers and maintain Canonical culture
Hire staff level engineers for specific roles like performance and quality
Coach, mentor, and offer career development feedback
Identify and measure indicators of team health and productivity
Ensure rounded delivery including community participation and docs
Implement disciplined engineering processes and defend them
Set and measure progress against benchmark goals for speed and efficiency
Represent your product to stakeholders, partners, and customers
Develop and evangelise great engineering and organisational practices
Plan and manage progress on agreed goals and projects
Be an active part of the leadership team, collaborating with other leaders
Collaborate with leads for related or dependent products
What we’re looking for in you

An exceptional academic track record from both high school and university
Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
Extensive management experience and confidence to set high expectations
Outstanding Linux based software engineering track record
Drive and a track record of going above-and-beyond expectations
Excellent verbal and written communication skills in English
Public speaking and presentation skills
A love of developing and growing people and a track record of it
Experience in leading, coaching and mentoring software developers
Organised and able to ensure your team delivers timely, high quality results
Well-organised, self-starting and able to deliver to schedule
Professional manner interacting with colleagues, partners, and community
You have advanced expertise in your own domain
You are knowledgeable and passionate about software development
You have solid experience working in an agile development environment
You have a demonstrated drive for continual learning
Builds trust, relationships and confidence
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks each
Additional skills we value

Experience in a developer advocacy or community role
Open source community engagement and leadership
Ops and system administration experience
Performance engineering and security experience
What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote #J-18808-Ljbffr
Apply safely

To stay safe in your job search, information on common scams and to get free expert advice, we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organization working to combat job scams.
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		'country_code' => 'ae',
		'slug' => 'uae',
		'global_location_id' => '225',
		'rel_gloc_ids' => '251,250,249,248,247,246,245,244,225',
		'currency' => 'AED',
		'currency_name' => 'UAE Dirham',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Dubai',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'saudi' => array(
		'name' => 'Saudi Arabia',
		'country_id' => '183',
		'country_code' => 'sa',
		'slug' => 'saudi',
		'global_location_id' => '187',
		'rel_gloc_ids' => '274,273,272,271,269,268,267,266,265,264,263,262,261,260,259,258,257,256,255,254,253,187',
		'currency' => 'SAR',
		'currency_name' => 'Saudi Riyal',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Riyadh',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'india' => array(
		'name' => 'India',
		'country_id' => '99',
		'country_code' => 'in',
		'slug' => 'india',
		'global_location_id' => '100',
		'rel_gloc_ids' => '100,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,976,994,1263,1264',
		'currency' => 'INR',
		'currency_name' => 'Indian Rupee',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Kolkata',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'south-africa' => array(
		'name' => 'South Africa',
		'country_id' => '236',
		'country_code' => 'za',
		'slug' => 'south-africa',
		'global_location_id' => '197',
		'rel_gloc_ids' => '197,498,499,500,501,502,503,504',
		'currency' => 'ZAR',
		'currency_name' => 'South African Rand',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Africa/Johannesburg',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'egypt' => array(
		'name' => 'Egypt',
		'country_id' => '61',
		'country_code' => 'eg',
		'slug' => 'egypt',
		'global_location_id' => '64',
		'rel_gloc_ids' => '64,955,957,1102,1103,1104,1105,1106,1107,1108,1109,1110,1111,1112,1113,1114,1115',
		'currency' => 'EGP',
		'currency_name' => 'Egyptian pound',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Africa/Cairo',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'singapore' => array(
		'name' => 'Singapore',
		'country_id' => '188',
		'country_code' => 'sg',
		'slug' => 'singapore',
		'global_location_id' => '192',
		'rel_gloc_ids' => '192,382,432,438,445,453',
		'currency' => 'SGD',
		'currency_name' => 'Singapore Dollar',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Singapore',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'qatar' => array(
		'name' => 'Qatar',
		'country_id' => '178',
		'country_code' => 'qa',
		'slug' => 'qatar',
		'global_location_id' => '176',
		'rel_gloc_ids' => '176,252',
		'currency' => 'QAR',
		'currency_name' => 'Qatar Rial',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Qatar',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'pakistan' => array(
		'name' => 'Pakistan',
		'country_id' => '169',
		'country_code' => 'pk',
		'slug' => 'pakistan',
		'global_location_id' => '164',
		'rel_gloc_ids' => '164,979,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061,1062,1063,1064,1065,1066,1067,1068,1069,1070,1071',
		'currency' => 'PKR',
		'currency_name' => 'Pakistani rupee',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Karachi',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'kuwait' => array(
		'name' => 'Kuwait',
		'country_id' => '116',
		'country_code' => 'kw',
		'slug' => 'kuwait',
		'global_location_id' => '116',
		'rel_gloc_ids' => '116,276,277,278,279,280,281',
		'currency' => 'KWD',
		'currency_name' => 'Kuwait Dinar',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Kuwait',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'oman' => array(
		'name' => 'Oman',
		'country_id' => '163',
		'country_code' => 'om',
		'slug' => 'oman',
		'global_location_id' => '163',
		'rel_gloc_ids' => '163,282,283,284,285,286,287,288,289,290,291',
		'currency' => 'OMR',
		'currency_name' => 'Oman Rial',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Muscat',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'jordan' => array(
		'name' => 'Jordan',
		'country_id' => '106',
		'country_code' => 'jo',
		'slug' => 'jordan',
		'global_location_id' => '110',
		'rel_gloc_ids' => '110,958,959,1101,1247,1246,1245,1244,1243,1242,1241,1240,1239',
		'currency' => 'JOD',
		'currency_name' => 'Jordanian Dinar',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Amman',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'philippines' => array(
		'name' => 'Philippines',
		'country_id' => '168',
		'country_code' => 'ph',
		'slug' => 'philippines',
		'global_location_id' => '171',
		'rel_gloc_ids' => '171,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,1262',
		'currency' => 'PHP',
		'currency_name' => 'Philippine Peso',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Manila',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'bahrain' => array(
		'name' => 'Bahrain',
		'country_id' => '23',
		'country_code' => 'bh',
		'slug' => 'bahrain',
		'global_location_id' => '17',
		'rel_gloc_ids' => '17,292,293,294,295,314,297,298,299,300,301,302,303,304,1276,1277',
		'currency' => 'BHD',
		'currency_name' => 'Bahrain Dinar',
		'languages' => 'en,ar',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Bahrain',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'sri-lanka' => array(
		'name' => 'Sri Lanka',
		'country_id' => '123',
		'country_code' => 'lk',
		'slug' => 'sri-lanka',
		'global_location_id' => '200',
		'rel_gloc_ids' => '200,1047,1048,1049,1084,1085,1086',
		'currency' => 'LKR',
		'currency_name' => 'Sri Lankan rupee',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Colombo',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'united-kingdom' => array(
		'name' => 'United Kingdom',
		'country_id' => '74',
		'country_code' => 'gb',
		'slug' => 'united-kingdom',
		'global_location_id' => '226',
		'rel_gloc_ids' => '226,1035,1036,1037,1038,1039,1040,1041,1042,1043,1044,1045,1046,1050,1259,1260,1261,1267',
		'currency' => 'GBP',
		'currency_name' => 'British Pound',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Europe/London',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'malaysia' => array(
		'name' => 'Malaysia',
		'country_id' => '149',
		'country_code' => 'my',
		'slug' => 'malaysia',
		'global_location_id' => '131',
		'rel_gloc_ids' => '131,131,980,1051',
		'currency' => 'MYR',
		'currency_name' => 'Ringgit',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Kuala_Lumpur',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'nepal' => array(
		'name' => 'Nepal',
		'country_id' => '159',
		'country_code' => 'np',
		'slug' => 'nepal',
		'global_location_id' => '151',
		'rel_gloc_ids' => '151,981,1096,1097,1098',
		'currency' => 'NPR',
		'currency_name' => 'Nepalese Rupee',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Kathmandu',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'nigeria' => array(
		'name' => 'Nigeria',
		'country_id' => '155',
		'country_code' => 'ng',
		'slug' => 'nigeria',
		'global_location_id' => '158',
		'rel_gloc_ids' => '158,995,996,997,1095',
		'currency' => 'NGN',
		'currency_name' => 'Nigerian Naira',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Africa/Lagos ',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'newzealand' => array(
		'name' => 'New Zealand',
		'country_id' => '162',
		'country_code' => 'nz',
		'slug' => 'newzealand',
		'global_location_id' => '155',
		'rel_gloc_ids' => '155,998,999,1080,1081,1082,1083',
		'currency' => 'NZD',
		'currency_name' => 'New Zealand Dollar',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Pacific/Auckland',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'brasil' => array(
		'name' => 'Brasil',
		'country_id' => '29',
		'country_code' => 'br',
		'slug' => 'brasil',
		'global_location_id' => '30',
		'rel_gloc_ids' => '30,1000,1001,1002,1003,1004,1005,1006,1007,1008,1009,1010,1011,1012,1013',
		'currency' => 'BRL',
		'currency_name' => 'Brazilian Real',
		'languages' => 'pt',
		'default_language' => 'pt',
		'country_time_zone' => 'America/Sao_Paulo',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'portugal' => array(
		'name' => 'Portugal',
		'country_id' => '175',
		'country_code' => 'pt',
		'slug' => 'portugal',
		'global_location_id' => '174',
		'rel_gloc_ids' => '174,1014,1015,1087,1088,1089,1090',
		'currency' => 'EUR',
		'currency_name' => 'Euro',
		'languages' => 'pt',
		'default_language' => 'pt',
		'country_time_zone' => 'Europe/Lisbon',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'canada' => array(
		'name' => 'Canada',
		'country_id' => '36',
		'country_code' => 'ca',
		'slug' => 'canada',
		'global_location_id' => '38',
		'rel_gloc_ids' => '38,1019,1020,1021,1022,1023,1024,1025',
		'currency' => 'CAD',
		'currency_name' => 'Canadian Dollar',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Canada/Saskatchewan',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'united-states' => array(
		'name' => 'United States',
		'country_id' => '221',
		'country_code' => 'us',
		'slug' => 'united-states',
		'global_location_id' => '227',
		'rel_gloc_ids' => '227,1314,1315,1316,1317,1318,1319,1320,1321,1322,1323,1324,1325,1326',
		'currency' => 'USD',
		'currency_name' => 'US Dollar',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'America/New_York',
		'job_location' => '1',
		'published' => '1',
		'show' => '1'
	),
	'angola' => array(
		'name' => 'Angola',
		'country_id' => '9',
		'country_code' => 'ao',
		'slug' => 'angola',
		'global_location_id' => '6',
		'rel_gloc_ids' => '6,1016,1091,1092,1093,1094',
		'currency' => 'AOA',
		'currency_name' => 'Angolan Kwanza',
		'languages' => 'pt',
		'default_language' => 'pt',
		'country_time_zone' => 'Africa/Luanda',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'australia' => array(
		'name' => 'Australia',
		'country_id' => '14',
		'country_code' => 'au',
		'slug' => 'australia',
		'global_location_id' => '13',
		'rel_gloc_ids' => '13,1026,1027,1028,1029,1030',
		'currency' => 'AUD',
		'currency_name' => 'Australian Dollar',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Australia/Melbourne',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'kenya' => array(
		'name' => 'Kenya',
		'country_id' => '108',
		'country_code' => 'ke',
		'slug' => 'kenya',
		'global_location_id' => '112',
		'rel_gloc_ids' => '112,1031,1032,1075,1076,1077,1078,1079',
		'currency' => 'KES',
		'currency_name' => 'Kenyan Shilling',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Africa/Nairobi',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'ghana' => array(
		'name' => 'Ghana',
		'country_id' => '78',
		'country_code' => 'gh',
		'slug' => 'ghana',
		'global_location_id' => '83',
		'rel_gloc_ids' => '83,1033,1034,1072,1073,1074',
		'currency' => 'GHS',
		'currency_name' => 'Ghanaian Cedi',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Africa/Accra',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'ireland' => array(
		'name' => 'Ireland',
		'country_id' => '98',
		'country_code' => 'ie',
		'slug' => 'ireland',
		'global_location_id' => '104',
		'rel_gloc_ids' => '104,104,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416',
		'currency' => 'EUR',
		'currency_name' => 'Euro',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Europe/Dublin',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'vietnam' => array(
		'name' => 'Vietnam',
		'country_id' => '229',
		'country_code' => 'vn',
		'slug' => 'vietnam',
		'global_location_id' => '234',
		'rel_gloc_ids' => '234,1170,1171',
		'currency' => 'VND',
		'currency_name' => 'Vietnamese Dong',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Ho_Chi_Minh',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'cyprus' => array(
		'name' => 'Cyprus',
		'country_id' => '51',
		'country_code' => 'cy',
		'slug' => 'cyprus',
		'global_location_id' => '55',
		'rel_gloc_ids' => '55,1230,1231,1232,1233',
		'currency' => 'EUR',
		'currency_name' => 'Euro',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Europe/Nicosia',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'malta' => array(
		'name' => 'Malta',
		'country_id' => '144',
		'country_code' => 'mt',
		'slug' => 'malta',
		'global_location_id' => '134',
		'rel_gloc_ids' => '134,1255,1254,1253,1252,1251,1250,1249,1248',
		'currency' => 'EUR',
		'currency_name' => 'Euro',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Europe/Malta',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'maldives' => array(
		'name' => 'Maldives',
		'country_id' => '146',
		'country_code' => 'mv',
		'slug' => 'maldives',
		'global_location_id' => '132',
		'rel_gloc_ids' => '132,1172',
		'currency' => 'MVR',
		'currency_name' => 'Maldivian rufiyaa',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Indian/Maldives',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'turkey' => array(
		'name' => 'Turkey',
		'country_id' => '213',
		'country_code' => 'tr',
		'slug' => 'turkey',
		'global_location_id' => '219',
		'rel_gloc_ids' => '219,1173,1174,1175,1176',
		'currency' => 'TRY',
		'currency_name' => 'Turkish lira',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Europe/Istanbul',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'thailand' => array(
		'name' => 'Thailand',
		'country_id' => '206',
		'country_code' => 'th',
		'slug' => 'thailand',
		'global_location_id' => '213',
		'rel_gloc_ids' => '213,1177',
		'currency' => 'THB',
		'currency_name' => 'Baht',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Bangkok',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'hong-kong' => array(
		'name' => 'Hong Kong',
		'country_id' => '91',
		'country_code' => 'hk',
		'slug' => 'hong-kong',
		'global_location_id' => '97',
		'rel_gloc_ids' => '97',
		'currency' => 'HKD',
		'currency_name' => 'Hong Kong dollar',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Asia/Hong_Kong',
		'job_location' => '0',
		'published' => '1',
		'show' => '1'
	),
	'germany' => array(
		'name' => 'Germany',
		'country_id' => '53',
		'country_code' => 'de',
		'slug' => 'germany',
		'global_location_id' => '82',
		'rel_gloc_ids' => '82,1178,1179,1180,1181,1182,1183,1184,1185,1186,1187',
		'currency' => 'EUR',
		'currency_name' => 'Euro',
		'languages' => 'en',
		'default_language' => 'en',
		'country_time_zone' => 'Europe/Berlin',
		'job_location' => '0',
		'published' => '1',
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			'summary' => 'Vskills Data Mining and Warehousing Professional&nbsp;assesses the candidate for a company&rsquo;s data mining and warehousing needs. The certification tests the candidates on various areas in data mining and warehousing which include knowledge of planning, managing, designing, implementing, supporting, maintaining and analyzing the organization&rsquo;s data warehouse and covering data mining and On-Line Analytical Processing (OLAP).<br />
<br />
<strong>Why should one take this certification?</strong><br />
This certification is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.<br />
Earning Vskills Data Mining and Warehousing Professional Certification can help candidate differentiate in today&#39;s competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.<br />
<br />
<strong>Who will benefit from taking this certification?</strong><br />
Job seekers looking to find employment in IT department of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.<br />
<br />
<strong>Companies that hire Vskills Certified Data Mining and Warehousing Professional</strong><br />
Data Mining and Warehousing professional are in great demand. Companies specializing in Integration Services are constantly hiring knowledgeable professionals. Various banks, telecom and IT companies also need data mining and warehousing professionals for data management and analysis.<br />
<br />
<strong>Table of Contents</strong><br />
<br />
<strong>DATA WAREHOUSING INTRODUCTION</strong>

<ul>
	<li>Introduction</li>
	<li>Meaning of Data Warehousing</li>
	<li>History of Data Warehousing</li>
</ul>
<strong>DATA WAREHOUSING CHARACTERISTICS</strong>

<ul>
	<li>Introduction</li>
	<li>Data Warehousing</li>
	<li>Operational vs. Informational Systems</li>
	<li>Characteristics of Data Warehousing</li>
</ul>
<strong>ONLINE TRANSACTION PROCESSING</strong>

<ul>
	<li>Introduction</li>
	<li>Data Warehousing and OLTP Systems</li>
	<li>Processes in Data Warehousing OLTP</li>
	<li>What is OLAP?</li>
	<li>Who uses OLAP and WHY?</li>
	<li>Multi-Dimensional View s</li>
	<li>Benefits of OLAP</li>
</ul>
<strong>DATA WAREHOUSING MODELS</strong>

<ul>
	<li>Introduction</li>
	<li>The Data Warehouse Model</li>
	<li>Data Modeling for Data Warehouses</li>
</ul>
<strong>DATA WAREHOUSING ARCHITECTURE</strong>

<ul>
	<li>Introduction</li>
	<li>Structure of a Data Warehouse</li>
	<li>Data Warehouse Physical Architectures</li>
	<li>Principles of a Data Warehousing</li>
</ul>
<strong>DATA WAREHOUSING AND OPERATIONAL SYSTEMS</strong>

<ul>
	<li>Introduction</li>
	<li>Operational Systems</li>
	<li>&ldquo; Warehousing&rdquo; Data outside the Operational Systems</li>
	<li>Integrating Data from more than one Operational System</li>
	<li>Differences between Transaction and Analysis Processes</li>
	<li>Data is mostly Non-volatile</li>
	<li>Data saved for longer periods than in transaction systems</li>
	<li>Logical Transformation of Operational Data</li>
	<li>Structured Extensible Data Model</li>
	<li>Data Warehouse model aligns with the business structure</li>
	<li>Transformation of the Operational State Information</li>
	<li>De-normalization of Data</li>
	<li>Static Relationships in Historical Data</li>
	<li>Physical Transformation of Operational Data</li>
	<li>Operational terms transformed into uniform business terms</li>
</ul>
<strong>DATA WAREHOUSING CONSIDERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Building a Data Warehouse</li>
	<li>Nine Decisions in the design of a Data Warehouse</li>
</ul>
<strong>DATA WAREHOUSING - APPLICATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Data Warehouse Application</li>
</ul>
<strong>ROI AND DESIGN CONSIDERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Need of a Data Warehouse</li>
	<li>Business Considerations: Return on Investment</li>
	<li>Organizational Issues</li>
	<li>Design Considerations</li>
	<li>Data content</li>
	<li>Metadata</li>
	<li>Data Distribution</li>
	<li>Tools</li>
	<li>Performance Considerations</li>
</ul>
<strong>TECHNICAL AND IMPLEMENTATION CONSIDERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Technical Considerations</li>
	<li>Hardware Platforms</li>
	<li>Balanced Approach</li>
	<li>Optimal hardware architecture for parallel queryscalability</li>
	<li>Data warehouse and DBMS Specialization</li>
	<li>Communications Infrastructure</li>
	<li>Implementation Considerations</li>
	<li>Access Tools</li>
</ul>
<strong>DATA WAREHOUSING BENEFITS</strong>

<ul>
	<li>Introduction</li>
	<li>Benefits of Data Warehousing</li>
	<li>Problems with Data Warehousing</li>
	<li>Criteria for a Data Warehouse</li>
</ul>
PROJECT MANAGEMENT PROCESS

<ul>
	<li>Introduction</li>
	<li>Project Management Process</li>
	<li>The Scope Statement</li>
	<li>Project Planning</li>
	<li>Project Scheduling</li>
	<li>Software Project Planning</li>
	<li>Critical Path Method</li>
	<li>Decision Making</li>
</ul>
<strong>WORK BREAKDOWN STRUCTURE</strong>

<ul>
	<li>Introduction</li>
	<li>Work Breakdow n Structure (WBS)</li>
	<li>How to build a WBS (a serving suggestion)</li>
	<li>To Create Work Breakdown Structure</li>
	<li>From WBS to Activity Plan</li>
	<li>Estimating Time</li>
</ul>
<strong>PROJECT ESTIMATION AND RISK</strong>

<ul>
	<li>Introduction</li>
	<li>Project Estimation</li>
	<li>Analyzing Probability &amp; Risk</li>
</ul>
<strong>MANAGING RISK</strong>

<ul>
	<li>Introduction</li>
	<li>Risk Analysis</li>
	<li>Risk Management</li>
	<li>Risk Analysis</li>
	<li>Managing Risks: Internal &amp; External</li>
	<li>Internal and External Risks</li>
	<li>Critical Path Analysis</li>
</ul>
<strong>DATA MINING CONCEPTS</strong>

<ul>
	<li>Introduction</li>
	<li>Data Mining</li>
	<li>Data Mining Background</li>
	<li>Inductive Learning</li>
	<li>Statistics</li>
	<li>Machine Learning</li>
</ul>
<strong>DATA MINING AND KDD</strong>

<ul>
	<li>Introduction</li>
	<li>What is Data Mining?</li>
	<li>Data Mining: Definitions</li>
	<li>KDD vs. Data Mining</li>
	<li>Stages OF KDD</li>
	<li>Machine Learning vs. Data Mining</li>
	<li>Data Mining vs. DBMS</li>
	<li>Data Warehouse</li>
	<li>Statistical Analysis</li>
</ul>
<strong>ELEMENTS OF DATA MINING</strong>

<ul>
	<li>Introduction</li>
	<li>Elements and uses of Data Mining</li>
	<li>Relationships &amp; Patterns</li>
	<li>Data Mining Problems/Issues</li>
	<li>Goals of Data Mining and Know ledge Discovery</li>
</ul>
<strong>DATA INFORMATION AND KNOWLEDGE</strong>

<ul>
	<li>Data, Information and Knowledge</li>
	<li>What can Data Mining do?</li>
	<li>How does Data Mining Work?</li>
	<li>Data Mining in a Nutshell</li>
</ul>
<strong>DATA MINING MODELS</strong>

<ul>
	<li>Data Mining</li>
	<li>Data Mining Models</li>
	<li>Discovery of Association Rules</li>
	<li>Discovery of Classification Rules</li>
</ul>
<strong>DATA MINING ISSUES AND CHALLENGES</strong>

<ul>
	<li>Data Mining Problems/Issues</li>
	<li>Other Mining Problems</li>
	<li>Data mining Application Areas</li>
	<li>Data Mining Applications-Case Studies</li>
	<li>Housing Loan Prepayment Prediction</li>
	<li>Mortgage Loan Delinquency Prediction</li>
	<li>Crime Detection</li>
	<li>Store-Level Fruits Purchasing Prediction</li>
	<li>Other Application Area</li>
</ul>
<strong>DM NEAREST NEIGHBOR AND CLUSTERING TECHNIQUES</strong>

<ul>
	<li>Types of Knowledge Discovered during Data Mining</li>
	<li>Comparing the Technologies</li>
	<li>Clustering And Nearest-Neighbor Prediction Technique</li>
</ul>
<strong>DECISION TREES</strong>

<ul>
	<li>What is a Decision Tree?</li>
	<li>Decision Trees</li>
	<li>Where to use Decision Trees?</li>
	<li>Tree Construction Principle</li>
	<li>The Generic Algorithm</li>
	<li>Guillotine Cut</li>
	<li>Over Fit</li>
</ul>
<strong>DECISION TREES - ADVANCED</strong>

<ul>
	<li>Best Split</li>
	<li>Decision Tree Construction Algorithms</li>
	<li>Cart</li>
	<li>ID3</li>
	<li></li>
	<li>Chaid</li>
	<li>How the Decision Tree Works</li>
	<li>State of the Industry</li>
</ul>
<strong>NEURAL NETWORKS</strong>

<ul>
	<li>Basics of Neural Networks</li>
	<li>Are neural networks easy to use?</li>
	<li>Business Scorecard</li>
	<li>Where to use Neural Networks</li>
	<li>Neural Networks for Clustering</li>
	<li>Neural Networks for Feature Extraction</li>
	<li>Applications Score Card</li>
	<li>The General Idea</li>
</ul>
<strong>NEURAL NETWORKS - ADVANCED</strong>

<ul>
	<li>What is a Neural Network Pparadigm?</li>
	<li>Design decisions in architecting a neural network</li>
	<li>Different types of Neural Networks</li>
	<li>Kohonen feature Maps</li>
	<li>Applications of Neural Networks</li>
	<li>Knowledge Extraction Through Data Mining</li>
</ul>
<strong>ASSOCIATION RULES AND GENETIC ALGORITHM</strong>

<ul>
	<li>Association Rules</li>
	<li>Basic Algorithms for Finding Association Rules</li>
	<li>Association Rules among Hierarchies</li>
	<li>Negative Associations</li>
	<li>Additional Considerations for Association Rules</li>
	<li>Genetic Algorithm</li>
	<li>Crossover</li>
	<li>Genetic Algorithms In detail</li>
	<li>Mutation</li>
	<li>Problem-Dependent Parameters</li>
	<li>Encoding</li>
	<li>The Evaluation Step</li>
	<li>Data Mining using GA</li>
</ul>
<strong>OLAP MULTIDIMENSIONAL DATA MODEL</strong>

<ul>
	<li>On Line Analytical Processing</li>
	<li>OLAP Example</li>
	<li>What is OLAP?</li>
	<li>Who uses OLAP and WHY?</li>
	<li>Multi-Dimensional Views</li>
	<li>Complex Calculations</li>
	<li>Time Intelligence</li>
</ul>
<strong>OLAP CHARACTERISTICS</strong>

<ul>
	<li>Definitions of OLAP</li>
	<li>Comparison of OLAP and OLTP</li>
	<li>Characteristics of OLAP: FASMI</li>
	<li>Basic Features of OLAP</li>
	<li>Special features</li>
</ul>
<strong>MULTIDIMENSIONAL AND MULTIRELATIONAL OLAP</strong>

<ul>
	<li>Introduction</li>
	<li>Multidimensional Data Model</li>
	<li>Multidimensional versus Multi-relational OLAP</li>
	<li>OLAP Guidelines</li>
</ul>
<strong>OLAP OPERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>OLAP Operations</li>
	<li>Lattice of Cubes, Slice and Dice Operations</li>
	<li>Relational Representation of the Data Cube</li>
	<li>DBMS</li>
	<li>Data Mining</li>
	<li>Mining Association Rules</li>
	<li>Classification by Decision Trees and Rules</li>
	<li>Prediction Methods</li>
</ul>
<strong>MOLAP/ ROLAP TOOLS</strong>

<ul>
	<li>Categorization of OLAP Tools</li>
	<li>MOLAP</li>
	<li>ROLAP</li>
	<li>Managed Query Environment (MQE)</li>
	<li>Cognos PowerPlay</li>
</ul>
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			'title' => 'Certified Data Mining and Warehousing Professional',
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			'summary' => 'Vskills Data Mining and Warehousing Professional&nbsp;assesses the candidate for a company&rsquo;s data mining and warehousing needs. The certification tests the candidates on various areas in data mining and warehousing which include knowledge of planning, managing, designing, implementing, supporting, maintaining and analyzing the organization&rsquo;s data warehouse and covering data mining and On-Line Analytical Processing (OLAP).<br />
<br />
<strong>Why should one take this certification?</strong><br />
This certification is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.<br />
Earning Vskills Data Mining and Warehousing Professional Certification can help candidate differentiate in today&#39;s competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.<br />
<br />
<strong>Who will benefit from taking this certification?</strong><br />
Job seekers looking to find employment in IT department of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.<br />
<br />
<strong>Companies that hire Vskills Certified Data Mining and Warehousing Professional</strong><br />
Data Mining and Warehousing professional are in great demand. Companies specializing in Integration Services are constantly hiring knowledgeable professionals. Various banks, telecom and IT companies also need data mining and warehousing professionals for data management and analysis.<br />
<br />
<strong>Table of Contents</strong><br />
<br />
<strong>DATA WAREHOUSING INTRODUCTION</strong>

<ul>
	<li>Introduction</li>
	<li>Meaning of Data Warehousing</li>
	<li>History of Data Warehousing</li>
</ul>
<strong>DATA WAREHOUSING CHARACTERISTICS</strong>

<ul>
	<li>Introduction</li>
	<li>Data Warehousing</li>
	<li>Operational vs. Informational Systems</li>
	<li>Characteristics of Data Warehousing</li>
</ul>
<strong>ONLINE TRANSACTION PROCESSING</strong>

<ul>
	<li>Introduction</li>
	<li>Data Warehousing and OLTP Systems</li>
	<li>Processes in Data Warehousing OLTP</li>
	<li>What is OLAP?</li>
	<li>Who uses OLAP and WHY?</li>
	<li>Multi-Dimensional View s</li>
	<li>Benefits of OLAP</li>
</ul>
<strong>DATA WAREHOUSING MODELS</strong>

<ul>
	<li>Introduction</li>
	<li>The Data Warehouse Model</li>
	<li>Data Modeling for Data Warehouses</li>
</ul>
<strong>DATA WAREHOUSING ARCHITECTURE</strong>

<ul>
	<li>Introduction</li>
	<li>Structure of a Data Warehouse</li>
	<li>Data Warehouse Physical Architectures</li>
	<li>Principles of a Data Warehousing</li>
</ul>
<strong>DATA WAREHOUSING AND OPERATIONAL SYSTEMS</strong>

<ul>
	<li>Introduction</li>
	<li>Operational Systems</li>
	<li>&ldquo; Warehousing&rdquo; Data outside the Operational Systems</li>
	<li>Integrating Data from more than one Operational System</li>
	<li>Differences between Transaction and Analysis Processes</li>
	<li>Data is mostly Non-volatile</li>
	<li>Data saved for longer periods than in transaction systems</li>
	<li>Logical Transformation of Operational Data</li>
	<li>Structured Extensible Data Model</li>
	<li>Data Warehouse model aligns with the business structure</li>
	<li>Transformation of the Operational State Information</li>
	<li>De-normalization of Data</li>
	<li>Static Relationships in Historical Data</li>
	<li>Physical Transformation of Operational Data</li>
	<li>Operational terms transformed into uniform business terms</li>
</ul>
<strong>DATA WAREHOUSING CONSIDERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Building a Data Warehouse</li>
	<li>Nine Decisions in the design of a Data Warehouse</li>
</ul>
<strong>DATA WAREHOUSING - APPLICATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Data Warehouse Application</li>
</ul>
<strong>ROI AND DESIGN CONSIDERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Need of a Data Warehouse</li>
	<li>Business Considerations: Return on Investment</li>
	<li>Organizational Issues</li>
	<li>Design Considerations</li>
	<li>Data content</li>
	<li>Metadata</li>
	<li>Data Distribution</li>
	<li>Tools</li>
	<li>Performance Considerations</li>
</ul>
<strong>TECHNICAL AND IMPLEMENTATION CONSIDERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>Technical Considerations</li>
	<li>Hardware Platforms</li>
	<li>Balanced Approach</li>
	<li>Optimal hardware architecture for parallel queryscalability</li>
	<li>Data warehouse and DBMS Specialization</li>
	<li>Communications Infrastructure</li>
	<li>Implementation Considerations</li>
	<li>Access Tools</li>
</ul>
<strong>DATA WAREHOUSING BENEFITS</strong>

<ul>
	<li>Introduction</li>
	<li>Benefits of Data Warehousing</li>
	<li>Problems with Data Warehousing</li>
	<li>Criteria for a Data Warehouse</li>
</ul>
PROJECT MANAGEMENT PROCESS

<ul>
	<li>Introduction</li>
	<li>Project Management Process</li>
	<li>The Scope Statement</li>
	<li>Project Planning</li>
	<li>Project Scheduling</li>
	<li>Software Project Planning</li>
	<li>Critical Path Method</li>
	<li>Decision Making</li>
</ul>
<strong>WORK BREAKDOWN STRUCTURE</strong>

<ul>
	<li>Introduction</li>
	<li>Work Breakdow n Structure (WBS)</li>
	<li>How to build a WBS (a serving suggestion)</li>
	<li>To Create Work Breakdown Structure</li>
	<li>From WBS to Activity Plan</li>
	<li>Estimating Time</li>
</ul>
<strong>PROJECT ESTIMATION AND RISK</strong>

<ul>
	<li>Introduction</li>
	<li>Project Estimation</li>
	<li>Analyzing Probability &amp; Risk</li>
</ul>
<strong>MANAGING RISK</strong>

<ul>
	<li>Introduction</li>
	<li>Risk Analysis</li>
	<li>Risk Management</li>
	<li>Risk Analysis</li>
	<li>Managing Risks: Internal &amp; External</li>
	<li>Internal and External Risks</li>
	<li>Critical Path Analysis</li>
</ul>
<strong>DATA MINING CONCEPTS</strong>

<ul>
	<li>Introduction</li>
	<li>Data Mining</li>
	<li>Data Mining Background</li>
	<li>Inductive Learning</li>
	<li>Statistics</li>
	<li>Machine Learning</li>
</ul>
<strong>DATA MINING AND KDD</strong>

<ul>
	<li>Introduction</li>
	<li>What is Data Mining?</li>
	<li>Data Mining: Definitions</li>
	<li>KDD vs. Data Mining</li>
	<li>Stages OF KDD</li>
	<li>Machine Learning vs. Data Mining</li>
	<li>Data Mining vs. DBMS</li>
	<li>Data Warehouse</li>
	<li>Statistical Analysis</li>
</ul>
<strong>ELEMENTS OF DATA MINING</strong>

<ul>
	<li>Introduction</li>
	<li>Elements and uses of Data Mining</li>
	<li>Relationships &amp; Patterns</li>
	<li>Data Mining Problems/Issues</li>
	<li>Goals of Data Mining and Know ledge Discovery</li>
</ul>
<strong>DATA INFORMATION AND KNOWLEDGE</strong>

<ul>
	<li>Data, Information and Knowledge</li>
	<li>What can Data Mining do?</li>
	<li>How does Data Mining Work?</li>
	<li>Data Mining in a Nutshell</li>
</ul>
<strong>DATA MINING MODELS</strong>

<ul>
	<li>Data Mining</li>
	<li>Data Mining Models</li>
	<li>Discovery of Association Rules</li>
	<li>Discovery of Classification Rules</li>
</ul>
<strong>DATA MINING ISSUES AND CHALLENGES</strong>

<ul>
	<li>Data Mining Problems/Issues</li>
	<li>Other Mining Problems</li>
	<li>Data mining Application Areas</li>
	<li>Data Mining Applications-Case Studies</li>
	<li>Housing Loan Prepayment Prediction</li>
	<li>Mortgage Loan Delinquency Prediction</li>
	<li>Crime Detection</li>
	<li>Store-Level Fruits Purchasing Prediction</li>
	<li>Other Application Area</li>
</ul>
<strong>DM NEAREST NEIGHBOR AND CLUSTERING TECHNIQUES</strong>

<ul>
	<li>Types of Knowledge Discovered during Data Mining</li>
	<li>Comparing the Technologies</li>
	<li>Clustering And Nearest-Neighbor Prediction Technique</li>
</ul>
<strong>DECISION TREES</strong>

<ul>
	<li>What is a Decision Tree?</li>
	<li>Decision Trees</li>
	<li>Where to use Decision Trees?</li>
	<li>Tree Construction Principle</li>
	<li>The Generic Algorithm</li>
	<li>Guillotine Cut</li>
	<li>Over Fit</li>
</ul>
<strong>DECISION TREES - ADVANCED</strong>

<ul>
	<li>Best Split</li>
	<li>Decision Tree Construction Algorithms</li>
	<li>Cart</li>
	<li>ID3</li>
	<li></li>
	<li>Chaid</li>
	<li>How the Decision Tree Works</li>
	<li>State of the Industry</li>
</ul>
<strong>NEURAL NETWORKS</strong>

<ul>
	<li>Basics of Neural Networks</li>
	<li>Are neural networks easy to use?</li>
	<li>Business Scorecard</li>
	<li>Where to use Neural Networks</li>
	<li>Neural Networks for Clustering</li>
	<li>Neural Networks for Feature Extraction</li>
	<li>Applications Score Card</li>
	<li>The General Idea</li>
</ul>
<strong>NEURAL NETWORKS - ADVANCED</strong>

<ul>
	<li>What is a Neural Network Pparadigm?</li>
	<li>Design decisions in architecting a neural network</li>
	<li>Different types of Neural Networks</li>
	<li>Kohonen feature Maps</li>
	<li>Applications of Neural Networks</li>
	<li>Knowledge Extraction Through Data Mining</li>
</ul>
<strong>ASSOCIATION RULES AND GENETIC ALGORITHM</strong>

<ul>
	<li>Association Rules</li>
	<li>Basic Algorithms for Finding Association Rules</li>
	<li>Association Rules among Hierarchies</li>
	<li>Negative Associations</li>
	<li>Additional Considerations for Association Rules</li>
	<li>Genetic Algorithm</li>
	<li>Crossover</li>
	<li>Genetic Algorithms In detail</li>
	<li>Mutation</li>
	<li>Problem-Dependent Parameters</li>
	<li>Encoding</li>
	<li>The Evaluation Step</li>
	<li>Data Mining using GA</li>
</ul>
<strong>OLAP MULTIDIMENSIONAL DATA MODEL</strong>

<ul>
	<li>On Line Analytical Processing</li>
	<li>OLAP Example</li>
	<li>What is OLAP?</li>
	<li>Who uses OLAP and WHY?</li>
	<li>Multi-Dimensional Views</li>
	<li>Complex Calculations</li>
	<li>Time Intelligence</li>
</ul>
<strong>OLAP CHARACTERISTICS</strong>

<ul>
	<li>Definitions of OLAP</li>
	<li>Comparison of OLAP and OLTP</li>
	<li>Characteristics of OLAP: FASMI</li>
	<li>Basic Features of OLAP</li>
	<li>Special features</li>
</ul>
<strong>MULTIDIMENSIONAL AND MULTIRELATIONAL OLAP</strong>

<ul>
	<li>Introduction</li>
	<li>Multidimensional Data Model</li>
	<li>Multidimensional versus Multi-relational OLAP</li>
	<li>OLAP Guidelines</li>
</ul>
<strong>OLAP OPERATIONS</strong>

<ul>
	<li>Introduction</li>
	<li>OLAP Operations</li>
	<li>Lattice of Cubes, Slice and Dice Operations</li>
	<li>Relational Representation of the Data Cube</li>
	<li>DBMS</li>
	<li>Data Mining</li>
	<li>Mining Association Rules</li>
	<li>Classification by Decision Trees and Rules</li>
	<li>Prediction Methods</li>
</ul>
<strong>MOLAP/ ROLAP TOOLS</strong>

<ul>
	<li>Categorization of OLAP Tools</li>
	<li>MOLAP</li>
	<li>ROLAP</li>
	<li>Managed Query Environment (MQE)</li>
	<li>Cognos PowerPlay</li>
</ul>
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<strong>Flex 2</strong>&nbsp;is a much loved software development kit, which is used to develop and deploy cross-platform rich Internet applications based on the Adobe Flash platform. This fantastic Flex 2 course covers a whole host of useful topics, such as how to create and manage a Flex application, how to connect a Flex application to server side data, and how to customize a Flex application to give it a unique look and feel. Not only that, learners of this Flex 2 course will learn how to deliver dashboards, e-commerce, and self-service applications that improve the bottom line and customer experience.<br />
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This&nbsp;<strong>Flex 2</strong>&nbsp;course will be the ideal solution and the easiest course you will experience. We will offer you the opportunity to study 24/7 wherever you are in the world. This course is opened to anyone with an interest in the topic and give you access to world-class learning led by 1Training International.<br />
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<strong>1Training International works in partnership with NUS, so all registered 1Training learners can get an NUS Extra discount card, which gives you amazing discounts on thousands of products from the biggest companies.</strong><br />
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	<li>Accredited qualification</li>
	<li>Excellent quality video tutorials</li>
	<li>You&#39;ll be eligible for an NUS Discount Card</li>
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	<li>Get support by phone, live chat, and email</li>
	<li>Join our friendly online learning platform</li>
	<li>Our Course is fully compatible with PC&rsquo;s, Mac&rsquo;s, Laptop, Tablet and Smartphone devices. So, you can access your course on Wi-Fi, 3G or 4G.</li>
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Learn for less with 1Training&nbsp;<strong>discount courses</strong>&nbsp;online! You&rsquo;ll love 1Training&rsquo;s excellent quality, competitive prices, and first class learner support. With this excellent discount course you can expect professional qualification, which will enable you to enhance your CV in no time, and for less!<br />
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<strong>What skills am I going to get from this course?</strong>

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	<li>Discover best practices for architecting a Flex application.</li>
	<li>Learn how to connect a Flex application to server side data including web services and remote methods.</li>
	<li>Understand how to customize a Flex application to give it a unique look and feel.</li>
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Learners will have&nbsp;<strong>365 days access</strong>&nbsp;to their chosen course. The course is self-paced so you decide how fast or slow the training goes. If you need to extend your course access duration, it can be done at any time by extending your subscription.<br />
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<strong>COURSE CURRICULUM</strong><br />
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<ol>
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	<li>Handling Events</li>
	<li>Application Navigation</li>
	<li>Retrieving Xml Data</li>
	<li>Using View States</li>
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Part 2

<ol>
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	<li>Using a Data Grid</li>
	<li>Architecting an Application</li>
	<li>Using a Repeater</li>
	<li>Building a Stock Photo Application, Part 2</li>
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<strong>How will I be assessed?</strong>

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<strong>What Certification am I going to receive?</strong><br />
<br />
Those who successfully pass this course will be awarded a Flex 2: Rich Internet Applications Certificate. Anyone eligible for certification will receive both&nbsp;<strong>FREE e-certificate</strong>&nbsp;(PDF format), and&nbsp;<strong>printed certificate</strong>.<br />
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			'summary' => '<strong>Overview</strong><br />
<br />
<strong>Flex 2</strong>&nbsp;is a much loved software development kit, which is used to develop and deploy cross-platform rich Internet applications based on the Adobe Flash platform. This fantastic Flex 2 course covers a whole host of useful topics, such as how to create and manage a Flex application, how to connect a Flex application to server side data, and how to customize a Flex application to give it a unique look and feel. Not only that, learners of this Flex 2 course will learn how to deliver dashboards, e-commerce, and self-service applications that improve the bottom line and customer experience.<br />
<br />
This&nbsp;<strong>Flex 2</strong>&nbsp;course will be the ideal solution and the easiest course you will experience. We will offer you the opportunity to study 24/7 wherever you are in the world. This course is opened to anyone with an interest in the topic and give you access to world-class learning led by 1Training International.<br />
<br />
<strong>1Training International works in partnership with NUS, so all registered 1Training learners can get an NUS Extra discount card, which gives you amazing discounts on thousands of products from the biggest companies.</strong><br />
<br />
<strong>Why should I choose 1Training?</strong>
<ul>
	<li>Free both e-certificate and printed certificate</li>
	<li>Accredited qualification</li>
	<li>Excellent quality video tutorials</li>
	<li>You&#39;ll be eligible for an NUS Discount Card</li>
	<li>Get one year&#39;s access to the course</li>
	<li>Get support by phone, live chat, and email</li>
	<li>Join our friendly online learning platform</li>
	<li>Our Course is fully compatible with PC&rsquo;s, Mac&rsquo;s, Laptop, Tablet and Smartphone devices. So, you can access your course on Wi-Fi, 3G or 4G.</li>
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<strong>Description</strong><br />
<br />
Learn for less with 1Training&nbsp;<strong>discount courses</strong>&nbsp;online! You&rsquo;ll love 1Training&rsquo;s excellent quality, competitive prices, and first class learner support. With this excellent discount course you can expect professional qualification, which will enable you to enhance your CV in no time, and for less!<br />
<br />
<strong>What skills am I going to get from this course?</strong>

<ul>
	<li>Discover best practices for architecting a Flex application.</li>
	<li>Learn how to connect a Flex application to server side data including web services and remote methods.</li>
	<li>Understand how to customize a Flex application to give it a unique look and feel.</li>
</ul>
<strong>Course Duration:</strong><br />
<br />
Learners will have&nbsp;<strong>365 days access</strong>&nbsp;to their chosen course. The course is self-paced so you decide how fast or slow the training goes. If you need to extend your course access duration, it can be done at any time by extending your subscription.<br />
<br />
<strong>COURSE CURRICULUM</strong><br />
<br />
Part 1
<ol>
	<li>Introducing Adobe Flex 2</li>
	<li>Using Flex Builder&trade; 2</li>
	<li>Flex Fundamentals</li>
	<li>Handling Events</li>
	<li>Application Navigation</li>
	<li>Retrieving Xml Data</li>
	<li>Using View States</li>
</ol>
Part 2

<ol>
	<li>Building a Stock Photo Application, Part 1</li>
	<li>Using a Data Grid</li>
	<li>Architecting an Application</li>
	<li>Using a Repeater</li>
	<li>Building a Stock Photo Application, Part 2</li>
	<li>Manipulating Xml</li>
	<li>Using Web Services</li>
	<li>Manipulating Complex Data Structures</li>
	<li>Formatting &amp; Validating Data</li>
</ol>
<strong>How will I be assessed?</strong>

<ul>
	<li>You will have one assignment.</li>
	<li>You will only need to pay &pound;19 for assessment when you submit your assignment.</li>
</ul>
<strong>What Certification am I going to receive?</strong><br />
<br />
Those who successfully pass this course will be awarded a Flex 2: Rich Internet Applications Certificate. Anyone eligible for certification will receive both&nbsp;<strong>FREE e-certificate</strong>&nbsp;(PDF format), and&nbsp;<strong>printed certificate</strong>.<br />
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View::_evaluate() - CORE/Cake/View/View.php, line 948
View::_render() - CORE/Cake/View/View.php, line 910
View::render() - CORE/Cake/View/View.php, line 471
Controller::render() - CORE/Cake/Controller/Controller.php, line 948
Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 194
Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 162
[main] - APP/webroot/index.php, line 115
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Canonical

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Software Engineering Director

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Início Kuwait Software Engineering Director

Início Kuwait Software Engineering Director

Software Engineering Director

Detalhes do emprego

What you’ll do

What we’re looking for in you

Additional skills we value

What we offer you

About Canonical

Canonical is an equal opportunity employer

Apply safely

Hiring company

Canonical

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