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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579
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Jobs in using Azure Synapse Analytics for but please no
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data scientist
Architecte IA – Expert Azure AI Foundry & Microsoft Copilot Studio @ viseo
FR | 2025-12-28
This role is a misrepresentation of what data engineering entails. The job description claims to be about architecting AI solutions using Azure AI Foundry and Copilot Studio, but it lacks concrete...
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AI/ML, Azure, Microsoft, Data Science, Analytics, LLM, Data Lake, Databricks, Synapse, Python, C, NLP, Agile/Scrum, CRM, ERP, API, MLOps, Management, Cloud Computing, GDPR/CCPA | ||
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analytics engineer
Ingénieur Data & Information Protection Microsoft (H/F) @ devoteam-cyber-trust
FR | 2025-12-27
Devoteam’s Microsoft-centric Data & Information Protection Engineer role is a governance and security engineer with a data tilt. It expects you to own data governance, GDPR/CCPA compliance, and...
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Cloud Computing, AI/ML, AWS, Microsoft, Fabric, GDPR/CCPA, Azure, Data Lakehouse, Power BI, Databricks, SQL, Synapse, ADF, Snowflake, SAP, GitLab | ||
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promoted
O'Reilly Power BI LearningMaster Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service. |
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data engineer
Sr. Data Engineer @ true-search
US | 2025-12-26
This role seeks a senior data engineer to build and optimize the data infrastructure supporting AI/ML projects. The candidate should have 5+ years of experience in data engineering, proficiency in...
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AI/ML, Management, ETL/ELT, Snowflake, Databricks, Redshift, BigQuery, Hadoop, Data Quality, Data Governance, API, Data Management, Data Engineering, Python, SQL, NoSQL, Cloud Computing, AWS, Azure, GCP, S3, Amazon EMR, Synapse, AWS Glue, Dataflow, Big Data, Spark, Kafka, Data Modelling, DWH, DataViz | ||
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analytics engineer
Consultant Data Modeling - F/H @ onepoint
FR | 2025-12-23
Onepoint seeks a seasoned data modeler with at least four years of experience, tasked with designing and optimizing data architectures across various cloud platforms and solutions. Their...
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AI/ML, Data Management, Data Analytics, Data Science, Data Modelling, DWH, Data Lake, Data Lakehouse, FinOps, Cloud Computing, Azure, AWS, GCP, Databricks, Snowflake, Synapse, BigQuery, Data Engineering, Data Vault, SQL, Agile/Scrum, Management |