000 05912cam a2200625Mi 4500
001 ocn867317134
003 OCoLC
005 20240829144321.0
006 m d
007 cr |n|||||||||
008 140104s2013 enka o 001 0 eng d
040 _aEBLCP
_beng
_epn
_cEBLCP
_dS4S
_dYDXCP
_dOCLCO
_dOCLCQ
_dOCLCO
_dOCLCF
_dOCLCQ
_dN$T
020 _a9781783281282
_q(electronic bk.)
020 _a1783281286
_q(electronic bk.)
035 _a679971
_b(N$T)
035 _a(OCoLC)867317134
050 4 _aQA76.76 .A65
072 7 _aCOM
_x051390
_2bisacsh
072 7 _aCOM
_x051170
_2bisacsh
082 0 4 _a005.365
049 _aMAIN
100 1 _aChauhan, Avkash.
_9721199
245 1 0 _aLearning Cloudera Impala :
_bperform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala /
_cAvkash Chauhan.
260 _aBirmingham :
_bPackt Publishing,
_c2013.
300 _a1 online resource :
_bcolor illustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 0 _aOnline resource; title from PDF title page (EBSCO, viewed July 8, 2017).
500 _aIncludes index.
505 0 _aCover; 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.
505 8 _aUpgrading 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.
505 8 _aUsing 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.
505 8 _aThe 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.
505 8 _aBuilt-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.
500 _aUsing various types of SQL statements.
520 _aThis 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.
590 _aMaster record variable field(s) change: 072
630 0 0 _aApache Hadoop.
_9694456
630 0 7 _aApache Hadoop.
_2fast
_0(OCoLC)fst01911570
_9694456
650 0 _aSQL (Computer program language)
_941781
650 7 _aCOMPUTERS / Programming / Open Source
_2bisacsh
_9819442
650 7 _aCOMPUTERS / Programming Languages / SQL
_2bisacsh
_9593266
650 4 _aApache Hadoop.
_9998970
650 4 _aElectronic data processing
_xDistributed processing.
650 4 _aFile organization (Computer science)
_947357
650 7 _aSQL (Computer program language)
_2fast
_0(OCoLC)fst01102869
_941781
655 4 _aElectronic books.
_9396
776 0 8 _iPrint version:
_aChauhan, Avkash.
_tUsing Cloudera Impala.
_dBirmingham : Packt Publishing, ©2013
_z9781783281275
856 4 0 _3EBSCOhost
_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=679971
938 _aEBL - Ebook Library
_bEBLB
_nEBL1572932
938 _aYBP Library Services
_bYANK
_n11465217
938 _aEBSCOhost
_bEBSC
_n679971
994 _a92
_bN$T
999 _c680110
_d680110