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Курс от Northeastern University
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Data Warehousing and Integration Part 2
Курс от Northeastern University О курсе
Covers various topics in Data Engineering in support of decision support systems, data analytics, data mining, machine learning, and artificial intelligence. Studies on-premises data warehouse architecture, dimensional modeling of data warehouses, Extract-Transform-Load (ETL) integration from source systems to data warehouse, On-line Analytical Processing (OLAP) systems, and the evolving world of data quality and data governance. Offers students an opportunity to design, develop and maintain cloud-based data pipelines. Both on-premises and cloud-based platforms will be used to illustrate and implement Data Engineering techniques using operational and analytical data warehouses.
Навыки, которые вы освоите
Data PipelinesExtract, Transform, LoadBusiness Process ModelingData IntegrationData QualityDevOpsData GovernanceData ManagementDataflowData ArchitectureData StoreData WarehousingCloud DevelopmentCloud-Based IntegrationData ProcessingProcess DesignCloud EngineeringCloud DeploymentCloud-Native ComputingData Infrastructure
Программа курса
6 модулей · 73 учебных материалов
01ETL Design 112 материалов
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Venkat Krishnamurthy
Professor