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.

• 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.