Azure Synapse, originally known as Azure SQL Data Warehouse, was developed by Microsoft and launched in 2016. It was created to provide a scalable data warehousing solution that could handle large volumes of data and integrate with existing Microsoft services. In 2019, it was rebranded as Azure Synapse Analytics to offer a more comprehensive analytics service that combined big data and data warehousing capabilities.
Azure Synapse
Azure Synapse is an integrated analytics service that accelerates time to insight by bringing together big data and data warehousing. It allows users to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs.
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About Azure Synapse
AzureAzure Synapse's strengths include seamless integration with other Azure services, robust analytics capabilities, and scalability. Its weaknesses may involve complexity for new users and potential cost management challenges. Competitors include Amazon Redshift, Google BigQuery, and Snowflake, which offer similar data warehousing and analytics solutions.
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How to hire a Azure Synapse expert
An Azure Synapse expert should possess skills in SQL for querying and managing data, knowledge of data modeling and ETL processes, proficiency in using Azure services like Azure Data Factory and Azure Data Lake Storage, experience with big data technologies such as Apache Spark, understanding of security and compliance within Azure, and familiarity with integrating machine learning models into analytics workflows.
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