Coverart for item
The Resource Learning Cloudera Impala : perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala, Avkash Chauhan

Learning Cloudera Impala : perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala, Avkash Chauhan

Label
Learning Cloudera Impala : perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala
Title
Learning Cloudera Impala
Title remainder
perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala
Statement of responsibility
Avkash Chauhan
Creator
Subject
Language
eng
Summary
This book is an easy-to-follow, step-by-step tutorial where each chapter takes your knowledge to the next level. The book covers practical knowledge with tips to implement this knowledge in real-world scenarios. A chapter with a real-life example is included to help you understand the concepts in full. Using Cloudera Impala is for those who really want to take advantage of their Hadoop cluster by processing extremely large amounts of raw data in Hadoop at real-time speed. Prior knowledge of Hadoop and some exposure to HIVE and MapReduce is expected
Member of
http://library.link/vocab/creatorName
Chauhan, Avkash
Dewey number
005.365
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Community experience distilled
http://library.link/vocab/subjectName
SQL (Computer program language)
Label
Learning Cloudera Impala : perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala, Avkash Chauhan
Instantiates
Publication
Note
  • Includes index
  • Using various types of SQL statements
Contents
  • Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Getting Started with Impala; Impala requirements; Dependency on Hive for Impala; Dependency on Java for Impala; Hardware dependency; Networking requirements; User account requirements; Installing Impala; Installing Impala with Cloudera Manager; Installing Impala without Cloudera Manager; Configuring Impala after installation; Starting Impala; Stopping Impala; Restarting Impala; Upgrading Impala; Upgrading Impala using parcels with Cloudera Manager
  • Upgrading Impala using packages with Cloudera ManagerUpgrading Impala without Cloudera Manager; Impala core components; Impala daemon; Impala statestore; Impala metadata and metastore; The Impala programming interface; The Impala execution architecture; Working with Apache Hive; Working with HDFS; Working with HBase; Impala security; Authorization; The SELECT privilege; The INSERT privilege; The ALL privilege; Authentication through Kerberos; Auditing; Impala security guidelines for a higher level of protection; Summary; Chapter 2:The Impala Shell Commands and Interface
  • Using Cloudera Manager for ImpalaLaunching Impala shell; Connecting impala-shell to the remotely located impalad daemon; Impala-shell command-line options with brief explanations; General command-line options; Connection-specific options; Query-specific options; Secure connectivity-specific options; Impala-shell command reference; General commands; Query-specific commands; Table- and database-specific commands; Summary; Chapter 3:The Impala Query Language and Built-in Functions; Impala SQL language statements; Database-specific statements; The CREATE DATABASE statement
  • The DROP DATABASE statementThe SHOW DATABASES statement; Using database-specific query sentence in an example; Table-specific statements; The CREATE TABLE statement; The CREATE EXTERNAL TABLE statement; The ALTER TABLE statement; The DROP TABLE statement; The SHOW TABLES statement; The DESCRIBE statement; The INSERT statement; The SELECT statement; Internal and external tables; Data types; Operators; Functions; Clauses; Query-specific SQL statements in Impala; Defining VIEWS in Impala; Loading data from HDFS using the LOAD DATA statement; Comments in Impala SQL statements
  • Built-in function support in ImpalaThe type conversion function; Unsupported SQL statements in Impala; Summary; Chapter 4:Impala Walkthrough with an Example; Creating an example scenario; Example dataset one -- automobiles (automobiles.txt); Example dataset two -- motorcycles (motorcycles.txt); Data and schema considerations; Commands for loading data into Impala tables; HDFS specific commands; Loading data into the Impala table from HDFS; Launching the Impala shell; Database and table specific commands; SQL queries against the example database; SQL join operation with the example database
Control code
ocn867317134
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9781783281275
Other physical details
color illustrations
Specific material designation
remote
System control number
(OCoLC)867317134
Label
Learning Cloudera Impala : perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala, Avkash Chauhan
Publication
Note
  • Includes index
  • Using various types of SQL statements
Contents
  • Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Getting Started with Impala; Impala requirements; Dependency on Hive for Impala; Dependency on Java for Impala; Hardware dependency; Networking requirements; User account requirements; Installing Impala; Installing Impala with Cloudera Manager; Installing Impala without Cloudera Manager; Configuring Impala after installation; Starting Impala; Stopping Impala; Restarting Impala; Upgrading Impala; Upgrading Impala using parcels with Cloudera Manager
  • Upgrading Impala using packages with Cloudera ManagerUpgrading Impala without Cloudera Manager; Impala core components; Impala daemon; Impala statestore; Impala metadata and metastore; The Impala programming interface; The Impala execution architecture; Working with Apache Hive; Working with HDFS; Working with HBase; Impala security; Authorization; The SELECT privilege; The INSERT privilege; The ALL privilege; Authentication through Kerberos; Auditing; Impala security guidelines for a higher level of protection; Summary; Chapter 2:The Impala Shell Commands and Interface
  • Using Cloudera Manager for ImpalaLaunching Impala shell; Connecting impala-shell to the remotely located impalad daemon; Impala-shell command-line options with brief explanations; General command-line options; Connection-specific options; Query-specific options; Secure connectivity-specific options; Impala-shell command reference; General commands; Query-specific commands; Table- and database-specific commands; Summary; Chapter 3:The Impala Query Language and Built-in Functions; Impala SQL language statements; Database-specific statements; The CREATE DATABASE statement
  • The DROP DATABASE statementThe SHOW DATABASES statement; Using database-specific query sentence in an example; Table-specific statements; The CREATE TABLE statement; The CREATE EXTERNAL TABLE statement; The ALTER TABLE statement; The DROP TABLE statement; The SHOW TABLES statement; The DESCRIBE statement; The INSERT statement; The SELECT statement; Internal and external tables; Data types; Operators; Functions; Clauses; Query-specific SQL statements in Impala; Defining VIEWS in Impala; Loading data from HDFS using the LOAD DATA statement; Comments in Impala SQL statements
  • Built-in function support in ImpalaThe type conversion function; Unsupported SQL statements in Impala; Summary; Chapter 4:Impala Walkthrough with an Example; Creating an example scenario; Example dataset one -- automobiles (automobiles.txt); Example dataset two -- motorcycles (motorcycles.txt); Data and schema considerations; Commands for loading data into Impala tables; HDFS specific commands; Loading data into the Impala table from HDFS; Launching the Impala shell; Database and table specific commands; SQL queries against the example database; SQL join operation with the example database
Control code
ocn867317134
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9781783281275
Other physical details
color illustrations
Specific material designation
remote
System control number
(OCoLC)867317134

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