Impala - An Open Source SQL Engine for Hadoop Training Course
Simplilearn Americas LLC
Course Summary
The course helps you master in knowledge of the basic concepts of Massively Parallel Processing (MPP) SQL query. It provides an in-depth understanding of querying in Hive and Impala including Impala architecture, daemon, statestore, and catalogue service. The course is best suited for database administrators, software developers, system administrators, and analytics professionals.
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Course Description
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.Visa debit/credit card
American express and Diners club card
Master Card, or
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.
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Course Syllabus
Course preview
Impala-An Open Source SQL Engine for Hadoop
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
That was just a sneak-peak into the lesson.
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