सर्व कौशल्ये

Azure Synapse Analytics

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

⬢ श्रेणी 2तांत्रिक

उच्च

पगारावरील परिणाम

5 महिने

शिकण्यास लागणारा वेळ

कठीण

काठिण्य

12

करिअर्स

एका दृष्टिक्षेपात

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 म्हणजे काय

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

🔧 साधने आणि परिसंस्था

Synapse StudioSQL PoolsSpark PoolsData IntegrationPower BI IntegrationPipelinesNotebooksSQL ScriptsLinked ServicesMonitoring & Analytics

💰 प्रदेशानुसार पगार

प्रदेश	ज्युनियर	मध्यम	सीनियर
USA	$88k	$155k	$270k
UK	£64k	£113k	£196k
EU	€60k	€106k	€186k
CANADA	C$97k	C$171k	C$298k

🎓 प्रमाणपत्रे

Azure Data Engineer Associate (DP-203)

Azure Synapse Analytics certification

🎯 Azure Synapse Analytics वापरणारी करिअर

Ai Data Labeling Lead

Ai Dubber Localization

Ai Ml Platform Engineer

Analytics Engineer

Ar Vr Developer

Bioinformatics Engineer

Bioinformatics Scientist

Biotech Researcher

Climate Tech Engineer

Clinical Trial Manager

Cloud Architect

⚖ यांच्याशी तुलना करा

Databricks Lakehouse

❓ FAQ

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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