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A Prequel to Data Mesh

Towards Data Science

New data formats emerged — JSON, Avro, Parquet, XML etc. Data lakes were introduced to store the new data formats. Image by the author 2010 to 2020 - The Cloud Data Warehouse Enterprises now wanted quick data analytics without yesterday’s constraints of flexibility, processing power and scale.

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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.

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An In-Depth Guide to Real-Time Analytics

Striim

Real-Time Analytics Architecture When implementing real-time analytics, you’ll need a different architecture and approach than you would with traditional batch-based data analytics. The streaming and processing of large volumes of data will also require a unique set of technologies.