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Big Data with Hive & SQL

Categories: BIG DATA
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About Course

Big Data with Hive & SQL is a practical course that introduces you to Apache Hive, the SQL-like query engine built for Hadoop. You’ll learn how to write HiveQL queries to process huge datasets, create tables and partitions, and perform data summarization tasks commonly used in real-world analytics and reporting.

This course is perfect for analysts and developers who want to work with Big Data but prefer SQL over programming. With hands-on exercises and real-world datasets, you’ll quickly gain the skills needed to interact with Hadoop data using Hive.

What Will You Learn?

  • What is Apache Hive and how it fits in the Hadoop ecosystem
  • Basics of Hive architecture: Metastore, Driver, Compiler
  • How to write HiveQL (Hive SQL) queries
  • Creating and managing tables, partitions, and buckets
  • Loading and querying structured and semi-structured data
  • Using functions (built-in and user-defined) in Hive
  • Optimizing queries using partitioning and bucketing
  • Integration of Hive with tools like Spark and HBase

Course Content

Module 1: Introduction to Hive & Big Data
What is Hive? Hive vs Traditional RDBMS Hive’s role in Hadoop ecosystem

Module 2: Hive Architecture & Setup
Hive Metastore, Driver, Execution Engine Modes: Local & Distributed

Module 3: HiveQL Basics
Creating databases and tables Loading and querying data Data types and file formats

Module 4: Advanced HiveQL
Joins, Group By, Order By, Union Built-in functions and expressions Working with external tables

Module 5: Data Modeling in Hive
Partitions and Buckets Partition pruning and performance tips

Module 6: Hands-On Projects
E-commerce sales data analysis Web server log processing Customer churn data reporting

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Global Training Presence: India – Amaravathi, Bapatla, Bangalore, Hyderabad, Chennai, Delhi, Kolkata   |   UK – London   |   USA – Texas, Dallas, Houston, Washington D.C., New York, Atlanta, Orlando, Boston

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