Azure Synapse Analytics is an integrated analytics service that combines big data and data warehousing capabilities. It enables users to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs.
About Azure Synapse Analytics
Azure Synapse Analytics was launched by Microsoft in 2019 as an evolution of Azure SQL Data Warehouse. It was created to address the need for a unified analytics platform that could handle both big data processing and enterprise data warehousing, enabling seamless integration and analysis of diverse datasets.
Strengths of Azure Synapse Analytics include its integration with other Azure services, scalability, and ability to handle both structured and unstructured data. Weaknesses may involve complexity in setup and potential costs for large-scale operations. Competitors include Google BigQuery, Amazon Redshift, and Snowflake.
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How to hire a Azure Synapse Analytics expert
An Azure Synapse Analytics expert must have skills in SQL for querying and managing data, understanding of data warehousing concepts, experience with big data technologies like Apache Spark, proficiency in using Azure Data Factory for data integration, and familiarity with Power BI for analytics and visualization. Knowledge of security practices within Azure and experience in optimizing performance are also essential.
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