Impala Training
Introduction to Apache Impala
Gain an overview of Apache Impala, a high-performance, distributed SQL query engine for Hadoop. Learn about its architecture, core features, and how it provides fast and interactive querying of data stored in Hadoop Distributed File System (HDFS) and Apache HBase.
Getting Started with Impala
Learn how to get started with Apache Impala. Understand the installation process, initial configuration tasks, and how to set up an Impala environment for querying big data.
Impala Architecture and Components
Explore the architecture and components of Apache Impala. Learn about the Impala Daemon, Catalog Server, StateStore, and how these components work together to enable high-performance querying.
Query Execution and Optimization
Discover how Impala executes queries and optimizes performance. Learn about query planning, execution strategies, and techniques for optimizing SQL queries to enhance performance.
Data Management and Integration
Understand how to manage and integrate data within Impala. Learn about data storage formats, partitioning, and integration with other Hadoop ecosystem components like Hive and HBase.
Security and Access Control
Delve into security and access control in Apache Impala. Learn about user authentication, role-based access control, and methods for securing data and queries in a multi-tenant environment.
Backup and Recovery
Discover best practices for backup and recovery in an Impala environment. Learn about backup strategies, disaster recovery plans, and techniques for ensuring data integrity and availability.
Advanced Impala Features and Configuration
Explore advanced features and configurations of Apache Impala. Learn about complex setups, advanced query optimization techniques, and strategies for maximizing the performance and capabilities of Impala.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of Apache Impala. Work on real-world scenarios to develop practical skills in big data querying and optimization.
Impala Syllabus
An Introduction to Impala
- An overview of 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
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
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
Working with Impala
- Working with 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
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details