Transaction Data in a Data Lake | CREATE EXTERNAL TABLE AS SELECT (CETAS) | MindMajix – YouTube

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In this Azure Data Engineer course, you’ll learn how to manage and store transactional data in a Data Lake using CETAS (CREATE EXTERNAL TABLE AS SELECT) in Azure Synapse or SQL-on-demand. Understand the power of external tables for optimizing big data workflows and how CETAS helps in exporting query results directly into Parquet or CSV files inside Azure Data Lake Storage.

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👉 Following are the topics we covered in this CETAS Synapse video:
0:00:11 Introduction
0:00:33 CETAS: Transform data and persist the results as a file
0:07:19 Creating external data source
0:09:44 Creating external file format
0:10:44 Using CETAS statement
0:13:24 Dropping external tables
0:13:38 Data transformations in a stored procedure
0:21:14 Include data transformation SP in a pipeline

✅ 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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