Azure Big Data

  • A service to store and process large amounts of data sets.
  • Use Azure Data Lake Analytics to write queries that help you transform your data and extract valuable insights.
    • Offers dynamic scaling and data parallelism.
    • You can integrate Data Lake Analytics with Active Directory to manage users’ permissions.
  • Create big data clusters for Hadoop, Spark, and Kafka with Azure HDInsight.
    • Reduce costs by scaling your workloads up and down.
    • Monitor all your clusters with Azure Monitor.
  • Azure Databricks is based on Apache Spark capabilities that provide an interactive workspace and streamlined workflows.
    • Enables you to read data from multiple sources and use Spark to create breakthrough insights.
  • Azure Synapse Analytics is a data warehousing and big data analytics service.
    • Allows you to ingest, prepare, manage, and serve data for BI and ML needs.

azure big data

  • You can use Azure Event Hubs for big data streaming and event ingestion service.
    • Enables you to receive and process millions of events per second.
  • Azure Stream Analytics provides you real-time analytics and a complex event-processing engine.
    • Simultaneously analyze and process large volumes of streaming data from multiple sources.

azure big data

Sources:
https://docs.microsoft.com/en-us/azure/data-lake-analytics/data-lake-analytics-overview
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-overview
https://docs.microsoft.com/en-us/azure/databricks/scenarios/what-is-azure-databricks
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-about
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-introduction

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