{"id":33874,"date":"2024-01-29T18:00:09","date_gmt":"2024-01-29T16:00:09","guid":{"rendered":"https:\/\/xebia.com\/academy\/nl\/?post_type=course&p=33874"},"modified":"2024-04-17T14:07:54","modified_gmt":"2024-04-17T12:07:54","slug":"data-warehousing-and-data-modeling","status":"publish","type":"course","link":"https:\/\/xebia.com\/academy\/nl\/training\/data-warehousing-and-data-modeling\/","title":{"rendered":"Data Warehousing and Data Modeling"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tData Warehousing and <\/strong><\/strong><\/strong>
Data Modeling<\/strong><\/strong><\/strong><\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\t\t\t\n\t\t\t\t\t\t\t\tData Engineering\t\t\t<\/span>\n\t\t<\/div>\n\n\t\t\n\t\n\t<\/svg><\/i>\n\t\n\t<\/button>\t
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\n\tBuild a solid foundation of data warehousing and modeling with this training. You\u2019ll learn everything about data warehouse architectures, formal data modeling, performance tuning and more. You\u2019ll put theory into practice with hands-on exercises in SQL, and create an entire data warehouse in a mainstream data warehouse of your choice.\u00a0<\/p>\t\t\t\t

\n\t\t\t\t\t\n\t\t\n\n\t\n\t\n\t\n<\/picture>\n\tTrainer Title<\/h2>\t<\/a>\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t
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\n\t\t\n\tLooking to upskill your team(s) or organization?<\/strong><\/h2>

\n\tDiego will gladly help you further with custom training solutions. <\/p>

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tDiego Teunissen<\/strong>\u00a0
Data and AI Training Advisor<\/h2>\t\t

\n\t+31 6 1591 4440<\/a>\u00a0
Diego.Teunissen@xebia.com<\/a>
linkedin.com\/in\/diego-teunissen\/<\/a><\/p>\t<\/div>\n\t\n\t\t\tGet in touch<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tAfter the training, you will be able to:<\/p>\t

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\n\tDesign a data warehouse that is tailored to business requirements.<\/p><\/div>\n\n\n\n

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\n\tTackle common performance issues in modern data warehouses to ensure optimal functionality and efficiency.<\/p><\/div>\n\n\n\n

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\n\tEvaluate mainstream data modeling techniques to choose the best approach for effective data representation.<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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