This chapter covers Azure Synapse Analytics. AZ-900 tests under 2.4.
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A simple way to picture Azure Synapse Analytics
A traditional data warehouse handles structured analytics. Synapse combines data warehousing, big-data analytics, and integration in one platform.
Synapse integrates data warehousing (SQL) and big-data (Spark) analytics in a single platform, supporting both traditional BI and exploratory analytics on massive data.
Ingest data
Data flows into Synapse.
Process with SQL or Spark
Queries or Spark jobs analyze the data.
Visualize results
Results are visualized for insights.
An organization runs SQL analytics on structured data and Spark jobs on raw logs in the same Synapse workspace.
Objective 2.4 expects understanding of Synapse as an integrated analytics platform.
Synapse combines SQL and Spark analytics.
Single integrated platform.
Scales to massive data volumes.
It's an integrated analytics platform combining data warehousing (SQL) and big-data (Spark) capabilities in one service.
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