Course description

  • What is this course about?

    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.

  • Why is this course popular?

    Impala is widely used by analysts and data scientists to perform analytics on data stored in Hadoop with the help of SQL or business intelligence tools. The growing need for professionals equipped with the knowledge Impala has increased opportunities for those who want to make a career in this field.

  • What learning benefits do you get from Simplilearn’s training?

    At the end of Simplilearn’s training in the Impala-an Open Source SQL Engine for Hadoop, the participants will be able to:
    • 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.

  • What are the career benefits in-store for you?

    After doing to this course you get an opportunity to work in highly rewarding big data projects and also gain knowledge about MPP data warehouse product. A good knowledge of SQL and familiar scripting languages, increases your career prospects in Big Data industry. According to payscale.com, the average salary for an entry-level SQL developer ranges around $60,000.

  • Why should you do this course?

    Knowledge of Impala enables you to query data on big data in Apache Hadoop and skip the time-consuming steps of loading and reorganizing data. This course is specially designed to help professionals with the knowledge of Data base, SQL, data warehouse and other data base programing languages, to make a career transition into big data platform.

  • Who should do this course?

    The target group of the Impala-an Open Source SQL Engine for Hadoop course includes, but is not restricted to:
    • Analysts
    • Data scientists
    • Hadoop administrator and developers
    • SQL developers
    • Data warehouse developers
    • Database administrators and developers

Course preview

    • Lesson 0 - Course Introduction

      03:39
      • 0.1 Course Introduction
        00:23
      • 0.2 Table of Contents
        00:36
      • 0.3 Objectives
        00:31
      • 0.4 Course Overview
        00:36
      • 0.5 Value to Professionals and Organizations
        00:58
      • 0.6 Course Prerequisites
        00:18
      • 0.7 Lessons Covered
        00:08
      • 0.8 Conclusion
        00:09
    • Lesson 1 - Introduction to Impala

      14:19
      • 1.1 Introduction to Impala
        00:17
      • 1.2 Objectives
        00:25
      • 1.3 What is Impala
        00:58
      • 1.4 Benefits of Impala
        01:17
      • 1.5 Benefits of Impala (Contd.)
        01:06
      • 1.6 Exploratory Business Intelligence
        00:56
      • 1.7 Impala Installation
      • 1.8 Demo - Using Cloudera Manager for Impala
        00:08
      • 1.9 Demo - Using Cloudera Manager for Impala (contd.)
        00:08
      • 1.10 Starting and Stopping Impala
        01:23
      • 1.11 Demo - Starting Impala from Command Line
        00:05
      • 1.12 Demo - Starting Impala from Command Line (contd.)
        00:53
      • 1.13 Data Storage
        01:10
      • 1.14 Managing Metadata
        01:20
      • 1.15 Controlling Access to Data
        00:40
      • 1.16 Impala Shell Commands and Interface
        01:31
      • 1.17 Impala Shell Commands and Interface (contd.)
        00:34
      • 1.18 Demo - Launching Impala Shell and Shell Command
        00:06
      • 1.19 Demo - Launching Impala Shell and Shell Command (contd.)
        00:06
      • 1.20 Quiz
      • 1.21 Summary
        00:51
      • 1.22 Summary (contd.)
        00:15
      • 1.23 Conclusion
        00:10
    • Lesson 2 - Querying with Hive and Impala

      26:44
      • 2.1 Querying with Hive and Impala
        00:21
      • 2.2 Objectives
        00:34
      • 2.3 SQL Language Statements
        01:13
      • 2.4 DDL Statements
        00:55
      • 2.5 DML Statements
        00:55
      • 2.6 CREATE DATABASE
        00:43
      • 2.7 CREATE TABLE
        00:59
      • 2.8 CREATE TABLE - Examples
        00:59
      • 2.9 Internal and External Tables
        00:53
      • 2.10 Loading Data into Impala Table
        00:35
      • 2.11 ALTER TABLE
        00:34
      • 2.12 DROP TABLE
        00:41
      • 2.13 DROP DATABASE
        00:30
      • 2.14 DESCRIBE Statement
        00:47
      • 2.15 EXPLAIN Statement
        01:07
      • 2.16 SHOW TABLE Statement
        00:29
      • 2.17 INSERT Statement
        00:50
      • 2.18 INSERT Statement - Examples
        00:22
      • 2.19 SELECT Statement
        00:45
      • 2.20 Data Type
        01:17
      • 2.21 Data Type (contd.)
        00:46
      • 2.22 Operators
        01:22
      • 2.23 Functions
        00:39
      • 2.24 CREATE VIEW in Impala
        01:02
      • 2.25 Hive and Impala Query Syntax
        02:09
      • 2.26 Demo - Using Impala Shell for DDL and DDML SQL Statements
        02:09
      • 2.27 Demo - Using Impala Shell for DDL and DDML SQL Statements (contd.)
        02:09
      • 2.28 Quiz
      • 2.29 Summary
        00:49
      • 2.30 Conclusion
        00:10
    • Lesson 3 - Data Storage and File Format

      11:47
      • 3.1 Data Storage and File Format
        00:22
      • 3.2 Objectives
        00:27
      • 3.3 Partitioning Tables
        00:43
      • 3.4 SQL Statements for Partitioned Tables
        01:16
      • 3.5 File Format and Performance Considerations
        01:02
      • 3.6 Choosing File Type and Compression Technique
        00:30
      • 3.7 Demo - File Formats and Compression Techniques
        00:15
      • 3.8 Demo - File Formats and Compression Techniques (contd.)
        06:24
      • 3.9 Quiz
      • 3.10 Summary
        00:39
      • 3.11 Conclusion
        00:09
    • Lesson 4 - Working with Impala

      12:53
      • 4.1 Working with Impala
        00:18
      • 4.2 Objectives
        00:33
      • 4.3 Impala Architecture
        00:47
      • 4.4 Impala Daemon
        01:08
      • 4.5 Impala Statestore
        00:25
      • 4.6 Impala Catalog Service
        01:40
      • 4.7 Query Execution Flow in Impala
        00:47
      • 4.8 User - Defined Functions
        01:01
      • 4.9 Hive UDFs with Impala
        01:14
      • 4.10 Demo - UDF in Impala
        00:07
      • 4.11 Demo - UDF in Impala(contd.)
        02:31
      • 4.12 Improving Impala Performance
        01:35
      • 4.13 Quiz
      • 4.14 Summary
        00:40
      • 4.15 Conclusion
        00:07
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Exam & certification

  • What qualifications do you need?

    Fundamental Knowledge of programming language and Hadoop components is the basic course prerequisite. However, participants are expected to have knowledge of SQL commands.

  • What do I need to do to unlock my Simplilearn certificate?

    Online Self-Learning:
    • Complete 85% of the course.
    • Complete 1 simulation test with a minimum score of 60%.

    FAQs

    • How do I enroll for the Online training?

      You can enroll for this Online training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
      1. Visa debit/credit card
      2. American express and Diners club card
      3. Master Card, or
      4. Through PayPal

    • What will I get along with this training?

      You will have access to the online e-learning and practice tests along with the training.

    • Can I cancel my enrollment? Do I get a refund?

      Yes, you can cancel your enrollment. We provide you complete refund after deducting the administration fee. To know more please go through our Refund Policy.

    • Do you provide any course completion certificate?

      Yes, we offer course completion certificate after you successfully complete the training program.

    • Where and how can I access the e-learning content? Are there any limitations?

      Once you register with us for a course by paying the course fee, you can have 24/7 access to the e-learning content on our website. An automated course purchase confirmation mail from our side will guide you through the process.

    • I am not able to access the online course. Whom should I contact for a solution?

      Please raise a request via our Help and Support portal to have your issue resolved.

    • Do you provide money back guarantee for the training programs?

      Yes. We do offer a money-back guarantee for many of our training programs. You can refer to the Refund Policy and raise refund requests via our Help and Support portal.

    • I want to know more about the training program. Whom do I contact?

      Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved.

    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.