Remove Analytics Architecture Remove Data Lake Remove Hadoop Remove NoSQL
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A Prequel to Data Mesh

Towards Data Science

New data formats emerged — JSON, Avro, Parquet, XML etc. Result: Hadoop & NoSQL frameworks emerged. Data lakes were introduced to store the new data formats. Central data teams end up having high knowledge burden and an ever increasing pressure of delivery.

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Modern Customer Data Platform Principles

Data Engineering Podcast

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Find simplicity in your most complex projects with Miro.

Data Lake 147
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Azure Data Engineer Interview Questions -Edureka

Edureka

One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store. It does away with the requirement to import data from an outside source. Export information to Azure Data Lake Store, Azure Blob Storage, or Hadoop.