Impala - An Open Source SQL Engine for Hadoop Training will teach you major concepts like Querying with Hive and Impala, Data Storage and File Format. DASVM’s Impala course helps you master in knowledge of the basic concepts of Massively Parallel Processing (MPP) SQL query. On the completion of this course, the learners will be able to interpret the role of Impala in the Big Data Ecosystem. It provides low latency and high concurrency for BI/analytic queries on Hadoop. It also has the ability to scale linearly, even in multitenant environments. In other words, Impala is the highest performing SQL engine that provides the fastest way to access data that is stored in Hadoop Distributed File System. Impala’s core aim is to simplify SQL-on Hadoop operations efficient to appeal to fresh users and open Hadoop to innovative use cases.
Course Objectives:
In this course, you will learn to:
- Explain Impala and its role in Hadoop Ecosystem
- Explain Partitioning of Impala tables and its benefits
- Query data using impala SQL
- Describe the complete flow of a SQL query execution in the Impala
- List the factors affecting the performance of the Impala
Course content
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
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 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
To see the full course content Download now
Course Prerequisites
- Fundamental Knowledge of programming language and Hadoop component
- Basic knowledge of SQL commands
Who can attend
- SQL developers
- Analysts
- Database administrators and developers
- Data warehouse developers
- Data scientists
- Hadoop administrator and developers
Number of Hours: 30hrs
Certification
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Materials
- Preparing for Certification
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