How can you assess data migration impacts in data warehousing or data lake environments?
Data migration is the process of moving data from one system or platform to another, usually to improve performance, scalability, security, or functionality. Data migration can have significant impacts on data warehousing or data lake environments, which are designed to store, integrate, and analyze large volumes of structured and unstructured data from various sources. In this article, you will learn how to assess data migration impacts in data warehousing or data lake environments, and how to plan and execute a successful data migration project.
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Axel SchwankeSenior Data Engineer | Data Architect | Data Science | Data Mesh | Data Governance | 4x Databricks certified | 2x AWS…
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Desmond DurrantPMP | CISSP | CCSE | CISO | CCIE | MCSA | MCSE AZ 300 | CKA | AZ 500 | AZ 301 | AZ 900 | AZ104
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Fredrick Okello MBA,BCOM, CIM,ABE,KIM,ICMStrategic Leader in FMCG, Agribusinesses, Retail, Banking, & NGO | Expert in Business Growth, Market Expansion &…