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Glossary>Analytics>Microsoft Azure Synapse Analytics

Microsoft Azure Synapse Analytics

Microsoft Azure Synapse Analytics is an integrated analytics service that combines big data and data warehousing capabilities. It allows users to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs.

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About Microsoft Azure Synapse Analytics

Microsoft Azure Synapse Analytics, initially known as Azure SQL Data Warehouse, was launched by Microsoft in 2015. It was developed to address the growing need for scalable and integrated data warehousing and big data analytics solutions. The service evolved to integrate more comprehensive analytics capabilities, leading to its rebranding as Azure Synapse Analytics in November 2019.

Strengths of Microsoft Azure Synapse Analytics include its seamless integration with other Azure services, scalability, and comprehensive analytics capabilities. Weaknesses involve a potentially steep learning curve and higher costs for extensive usage. Competitors include Google BigQuery, Amazon Redshift, and Snowflake.

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How to hire a Microsoft Azure Synapse Analytics expert

A Microsoft Azure Synapse Analytics expert must have skills in SQL, data warehousing concepts, and ETL processes. Proficiency in Azure Data Factory, Azure Data Lake Storage, and Power BI is essential. Knowledge of Python or Scala for data processing, familiarity with Synapse Studio, and experience with big data technologies like Apache Spark are also crucial.

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