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New data formats emerged — JSON, Avro, Parquet, XML etc. Datalakes were introduced to store the new data formats. Image by the author 2010 to 2020 - The Cloud Data Warehouse Enterprises now wanted quick dataanalytics without yesterday’s constraints of flexibility, processing power and scale.
One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure DataLake Store. It does away with the requirement to import data from an outside source. Export information to Azure DataLake Store, Azure Blob Storage, or Hadoop.
Real-Time AnalyticsArchitecture When implementing real-time analytics, you’ll need a different architecture and approach than you would with traditional batch-based dataanalytics. The streaming and processing of large volumes of data will also require a unique set of technologies.
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