Course Format and Delivery

Delivery Method: LiveOnline
Schedule: 2 sessions
Cost: contact info-us@softed.com

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

The Impala-an Open Source SQL Engine for Hadoop is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem.

The course focuses on the basics of Impala. It further provides an overview of the superior performance of Impala, against other popular SQL-on-Hadoop systems.

In this course you will learn

Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Impala ecosystem, learning topics such as:

• Describe Impala and its role in Hadoop Eco-system
• Explain how to query data using impala SQL
• Discuss partitioning of Impala tables and explain its benefits
• List the factors affecting the performance of Impala
• Describe the complete flow of a SQL query execution in Impala

Topics Covered

1. An Introduction to Impala

• An overview to the Impala
• What is Impala?
• The benefits of Impala
• Exploratory Business Intelligence
• The Impala Installation
• Starting and Stopping Impala
• Data Storage
• Managing Metadata 
• Controlling Access to Data 
• Impala Shell Commands and Interface

2. Querying with Hive and Impala

• Querying with Hive and Impala
• SQL Language Statements
• DDL Statements
• CREATE the DATABASE
• CREATE the TABLE
• Internal and External Tables
• Loading Data in Impala Table
• The ALTER TABLE
• The DROP TABLE
• What is DROP DATABASE?
• Describing the Statement
• Explaining the Statement
• SHOW the TABLE Statement
• INSERT Statement SELECT Statement
• Data Type
• The Operators
• About the Functions
• The CREATE VIEW in Impala
• Hive and Impala Query Syntax Impala

3. Data Storage and File Format

• About the Data Storage and File Format
• The Partitioning Tables
• SQL Statements for Partitioned Tables
• File Format and Performance Considerations
• Choosing the File Type and Compression Technique

4. Working with the Impala

• Working with the Impala
• Know Impala Architecture
• What is Impala Daemon?
• About the Impala Statestore
• Impala Catalog Service
• Query Execution Flow in Impala
• User - Defined Functions
• Hive UDFs with Impala
• Improving Impala Performance