Azure Synapse Analytics
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Back in the day, data warehousing meant monolithic beasts and ETL pipelines that resembled spaghetti junction. Then came the cloud, and suddenly everyone needed a “limitless” analytics service. Azure Synapse Analytics arrived as Microsoft’s attempt to unify data integration, data warehousing, and big data analytics – a noble goal, if a little ambitious. It’s essentially the lovechild of Azure SQL Data Warehouse and Azure Data Lake Analytics, promising a single platform for all your data needs.
The reality? It’s powerful, certainly, but requires a significant investment in learning and configuration. While it can handle everything, mastering the various compute engines—Spark, SQL pools, data flows—feels like becoming fluent in several programming languages simultaneously. Competitors like Snowflake offer a simpler, more managed experience, though at a cost. Synapse is gaining traction with enterprises already heavily invested in the Microsoft ecosystem, but convincing anyone else to jump ship requires demonstrating tangible benefits beyond just checking all the boxes.
Used together with Synapse
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Jobs in using Azure Synapse Analytics for but please no
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data engineer
Project Manager │ プロジェクトマネージャー @ persol-career-brs
JP | 2025-12-28
| JPY
8000000 - 15000000
/ year
Project Manager for IoT and cloud-based digital transformation at a giant IT services firm, Tokyo-based with remote options. You’ll lead IoT cloud platform development for a world-class...
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Cloud Computing, IoT, AI/ML, Management, Agile/Scrum, Azure, SQL, Data Lake, Synapse, Analytics, Databricks | ||
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data engineer
Cloud & AI Platforms, Senior Data Solution Engineer (大手のお客様向けプリセールス エンジニア) @ microsoft
JP | 2025-12-24
This role involves guiding enterprise clients through secure, scalable cloud database and analytics solutions, with a notable focus on Azure datastores and analytics portfolios. It offers a unique...
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Analytics, AI/ML, Cloud Computing, Microsoft, Azure, Fabric, BI, Databricks, Data Governance, SQL, Cosmos, PostgreSQL, Teradata, Netezza, Hadoop, Computer Science, BigQuery, Redshift, Snowflake, DWH, Data Lake, Big Data, Cyber Security, Management, Oracle, Synapse | ||
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promoted
BigQuery Cost Optimization Guide by Masthead DataThe BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of... |
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data engineer
Data Solution Engineer @ microsoft
JP | 2025-12-24
This role involves guiding clients through the modernization of their data platforms using Azure Databases and Analytics, with a notable focus on customer engagement through proofs of concept and...
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AI/ML, Microsoft, Cloud Computing, Analytics, Fabric, BI, Databricks, Data Governance, Azure, SQL, Cosmos, PostgreSQL, Teradata, Netezza, Hadoop, BigQuery, Redshift, Snowflake, DWH, Data Lake, Big Data, Cyber Security, Management, Oracle, Synapse |