全スキル
Azure Synapse Analytics
Unified analytics: data warehouse, big data, and machine learning
⬢ ティア 2テクニカル
高い
給与インパクト
5か月
習得までの期間
難しい
難易度
12
職種数
概要
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とは
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
🔧 ツール＆エコシステム
Synapse StudioSQL PoolsSpark PoolsData IntegrationPower BI IntegrationPipelinesNotebooksSQL ScriptsLinked ServicesMonitoring & Analytics
💰 地域別給与
| 地域 | ジュニア | ミドル | シニア |
|---|---|---|---|
| USA | $88k | $155k | $270k |
| UK | £64k | £113k | £196k |
| EU | €60k | €106k | €186k |
| CANADA | C$97k | C$171k | C$298k |
🎓 認定資格
Azure Data Engineer Associate (DP-203)
Azure Synapse Analytics certification
🎯 Azure Synapse Analyticsを使う職種
❓ よくある質問
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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