Impala Course Introduction Tutorial

0.1 Course Introduction

Hello and welcome to the introductory lesson of ‘Impala, An Open Source SQL (pronounce sequel) Engine for Hadoop’ course offered by Simplilearn. This lesson will give you an overview of the course, its prerequisites, and the value it will offer to you. Let us explore the objectives of this course in the next screen.

0.2 Table of Contents

We will start with the course objectives that describe what you will be able to do by the end of the course. Next, the Impala course overview is discussed, which will gives you a strategic understanding of the course. Next, the value of this course to professionals as well as to organizations is discussed in detail. Following this, some other details on prerequisites for the course are covered. Finally, the lessons covered in this course are listed. Let us begin with the course objectives in the next screen.

0.3 Objectives

By the end of this course, you 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. Let us take a look at the course overview in the next screen.

0.4 Course Overview

This course will provide a detailed introduction of Impala and its components. It will also enhance your knowledge on Impala’s role in the Big Data Ecosystem, Structure Language Query statements, and partitioning tables. The course will further provide an overview of the superior performance of Impala, against other popular SQL-on-Hadoop systems. Finally, you will also learn how to execute a query in Impala. In the next screen, we will discuss how this course can add value to participants.

0.5 Value to Professionals and Organizations

This course is beneficial for the professionals who want to manage, and query large and complex data in real time using SQL and familiar scripting languages. Professionals with knowledge of Impala can interactively query data on big data in Apache Hadoop. Impala professionals will be in high demand in all the leading organizations worldwide, as Impala makes analytics for any type of data accessible to analysts. Organizations are adopting Impala to improve their speed and accuracy of analyzing big data. Many organization have already invested huge amount of money and time in creating vast pool of SQL developers, Data base professionals, and data warehouse specialists. These people can be trained to manage big data using Impala. Let us look at the prerequisites for the course in the next screen.

0.6 Course Prerequisites

Fundamental Knowledge of programming language and Hadoop components is the basic course prerequisite. However, participants are expected to have knowledge of SQL commands. In the next screen, we will focus on the list of lessons covered in this course.

0.7 Lessons Covered

There are four lessons covered in this course. Take a look at the lesson names that are listed on the screen.

0.8 Conclusion

Wishing you all the luck for this course. In the next lesson, we will focus on ‘Introduction to Impala’.

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

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