Azure Synapse Serverless SQL Pool | Query CSV, Delimited, Parquet, JSON Files | MindMajix – YouTube

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In this Azure Data Engineer course, you’ll learn how to query data in Azure Synapse using Serverless SQL Pool – without provisioning a dedicated SQL instance! In this practical tutorial, we’ll show you step-by-step how to work with delimited text files (CSV), JSON files, Parquet files, and more, using powerful T-SQL queries.

Whether you’re a data engineer, analyst, or developer, mastering Azure Synapse Serverless SQL Pool is essential for cost-effective, on-demand querying of big data stored in Azure Data Lake.

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👉 Below are the topics we covered in this ‘Azure Synapse Serverless SQL Pool’ video:
✔ What is Azure Synapse Serverless SQL Pool?
✔ How to query files using Serverless SQL Pool
✔ Querying delimited text files (CSV)
✔ Querying JSON files efficiently
✔ Querying Parquet files

✅ About MindMajix’s Azure Data Engineer Training:
Azure Data Engineer certification training MindMajix helps us integrate, merge, and transform the data from different unstructured and structured sources into a structured one utilized for building analytics solutions. In this Azure Data Engineer course, trainees will learn to develop, support, and implement Microsoft BI solutions to satisfy client and market requirements. With our real-world projects and industry scenarios, you can get expertise in constructing solutions to ETL tools, Data warehouses, Data APIs, Database Systems, and Machine Learning.

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