Azure Synapse Analytics

Unified analytics: data warehouse, big data, and machine learning

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एक नज़र में

Azure Synapse Analytics integrates data warehousing, Spark, and ML. Mid-level data engineers earn $130-165k; seniors architect lakehouses and analytics platforms at $230-310k.

Azure Synapse Analytics क्या है

Azure Synapse Analytics is a unified analytics platform that combines enterprise data warehousing (SQL), big data processing (Apache Spark), and machine learning into one service. It provides a single workspace for data engineers, analysts, and scientists to collaborate. Synapse integrates with Azure Data Lake Storage, Power BI, and AI/ML tools. - Unified platform: Data warehouse, Spark, and ML in one workspace

🔧 टूल्स और इकोसिस्टम

Synapse StudioSQL PoolsSpark PoolsData IntegrationPower BI IntegrationPipelinesNotebooksSQL ScriptsLinked ServicesMonitoring & Analytics

💰 क्षेत्र के अनुसार सैलरी

क्षेत्र	जूनियर	मिड	सीनियर
USA	$88k	$155k	$270k
UK	£64k	£113k	£196k
EU	€60k	€106k	€186k
CANADA	C$97k	C$171k	C$298k

🎓 सर्टिफिकेशन

Azure Data Engineer Associate (DP-203)

Azure Synapse Analytics certification

🎯 Azure Synapse Analytics इस्तेमाल करने वाले करियर

Ai Data Labeling Lead

Ai Dubber Localization

Ai Ml Platform Engineer

Analytics Engineer

Animator

Ar Vr Developer

Bioinformatics Engineer

Bioinformatics Scientist

Biotech Researcher

Climate Tech Engineer

Clinical Trial Manager

Cloud Architect

⚖ इससे तुलना करें

Databricks Lakehouse

❓ सामान्य प्रश्न

What's the difference between Synapse SQL and Spark?

Synapse SQL is for structured data warehousing; Spark is for big data processing and unstructured data.

Can I use Synapse SQL and Spark together?

Yes, both share same metastore. Spark processes raw data, SQL queries refined datasets.

What's the pricing model?

SQL: pay per DWU-hour. Spark: per vCore-hour. Storage separate. On-demand SQL cheaper per query.

Can I connect Power BI directly?

Yes, native integration. Direct query or import; live dashboards update as data changes.

How do I handle data governance?

Column-level security, row-level security, data classifications, and audit logging.

What's the lakehouse pattern in Synapse?

Combine data lake (cheap storage) + warehouse (fast queries) using Delta Lake and unified metadata.

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