Introduction to Modern Data Architecture (formerly Lake House)

• Organizations have been building data lakes to analyze massive amounts of data for deeper insights into their data. To do this, they bring data from multiple silos into their data lake, and then run analytics and AI/ML directly on it.




• It is common for these organizations to also have data stored in specialized data stores, such as a NoSQL database, a search service, or a data warehouse, to support different use cases.




• To efficiently analyze all of the data spread …

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