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🚀 Apache Hive Advanced Data Types & JOINs | Sqoop to Hive Data Migration Tutorial In this video, you’ll learn Apache Hive advanced data types, different types of Hive JOIN operations, and how to perform Sqoop to Hive data migration step by step. This tutorial is designed for big data professionals and beginners who want to master HiveQL, complex data handling, and data transfer from relational databases to Hive. ✅ Topics covered in this video: • Apache Hive advanced data types (ARRAY, MAP, STRUCT, UNIONTYPE) • Working with complex data in Hive • Hive JOIN types (INNER, LEFT, RIGHT, FULL OUTER, CROSS JOIN) • Optimizing JOIN queries in Apache Hive • Introduction to Apache Sqoop • Importing data from MySQL/Oracle to Hive using Sqoop • Sqoop to Hive migration with examples • Best practices for data integration Apache Hive and Sqoop are powerful tools in the Hadoop ecosystem that help manage large-scale data warehousing and data migration efficiently. By the end of this tutorial, you’ll be able to handle complex data structures, execute optimized JOIN queries, and move data seamlessly from RDBMS to Hive. 📌 LIKE 👍 SHARE 🔁 and SUBSCRIBE 🔔 for more tutorials on Apache Hive, Hadoop, Spark, PySpark, Big Data, and Data Engineering. #ApacheHive #HiveAdvancedDataTypes #HiveJoins #SqoopToHive #BigData #Hadoop #DataEngineering #ETL #HiveQL #SqoopTutorial