Practical Hive : a guide to Hadoop's data warehouse system

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Practical Hive a guide to Hadoop's data warehouse system
verantwortlich
Shaw, Scott (VerfasserIn); Vermeulen, Andreas François (VerfasserIn); Gupta, Ankur (VerfasserIn); Kjerrumgaard, David (VerfasserIn)
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[United States]: Apress, 2016
©2016
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2016
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E-Book
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British Library Catalogue
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245 0 0 |a Practical Hive  |b a guide to Hadoop's data warehouse system  |c Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard 
264 1 |a [United States]  |b Apress  |c 2016 
264 4 |c ©2016 
300 |a 1 online resource (xxi, 265 pages) :  |b illustrations (some color). 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
500 |a Includes index. 
505 0 |a At a Glance; Contents; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: Setting the Stage for Hive: Hadoop; An Elephant Is Born; Hadoop Mechanics; Data Redundancy; Traditional High Availability; Hadoop High Availability; Processing with MapReduce; Beyond MapReduce; YARN and the Modern Data Architecture; Hadoop and the Open Source Community; Where Are We Now; Chapter 2: Introducing Hive; Hadoop Distributions; Cluster Architecture; Hive Installation; Finding Your Way Around; Hive CLI; Chapter 3: Hive Architecture; Hive Components; HCatalog. 
505 8 |a Hiveserver2Client Tools; Execution Engine: Tez; Chapter 4: Hive Tables DDL; Schema-on-Read; Hive Data Model; Schemas/Databases; Why Use Multiple Schemas/Databases; Creating Databases; Altering Databases; Dropping Databases; List Databases; Data Types in Hive; Primitive Data Types; Choosing Data Types; Complex Data Types; Arrays; Maps; Structs; Unions; Tables; Creating Tables; Listing Tables; Internal/External Tables; External Tables; Internal or Managed Tables; External/Internal Table Example; Table Properties; Generating a Create Table Command for Existing Tables; Partitioning and Bucketing. 
505 8 |a PartitioningPartitioning Considerations; Efficiently Partitioning on Date Columns; Bucketing; Bucketing Considerations; Temporary Tables; Altering Tables; Renaming Tables; Modifying a Table's Storage Properties; ORC File Format; Merging a Table's Files; Altering Table Partitions; Add Partition; Rename Partition; Modifying Columns; Adding Columns; Dropping Tables/Partitions; Drop Tables; Dropping Partitions; Protecting Tables/Partitions; Other Create Table Command Options; Create Table as Select (CTAS); Create Table Like; Chapter 5: Data Manipulation Language (DML); Loading Data into Tables. 
505 8 |a Loading Data Using Files Stored on the Hadoop Distributed File SystemUsing Hive to Upload a Data File; Loading Data Using Queries; Using an Existing Table to Create a New Table; Writing Data into the File System from Queries; Using an Existing Table to Create an Output Directory; Inserting Values Directly into Tables; Adding Extra Records to an Existing Table; Updating Data Directly in Tables; Updating Records in an Existing Table; Deleting Data Directly in Tables; Updating Records in an Existing Table; Creating a Table with the Same Structure. 
505 8 |a Using an Existing Table to Create a New Table with the Same StructureJoins; Using Equality Joins to Combine Tables; Joining Tables in Hive; Using Outer Joins; Joining Tables in Hive Using Left Join; Joining Tables in Hive Using Right Join; Joining Tables in Hive Using a Full Outer Join; Using Left Semi-Joins; Performing a Semi-Join; Using Join with Single MapReduce; Joining Three Tables in One MapReduce; Using Largest Table Last; Transactions; What Is ACID and Why Use It?; Hive Configuration; Chapter 6: Loading Data into Hive; Design Considerations Before Loading Data; Loading Data into HDFS. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed September 8, 2016). 
630 0 0 |a Apache Hadoop. 
630 0 7 |a Apache Hadoop.  |2 fast  |0 (OCoLC)fst01911570 
650 0 |a Computer science. 
650 0 |a Data warehousing. 
650 7 |a COMPUTERS  |x Database Management  |x Data Warehousing.  |2 bisacsh 
650 7 |a Data warehousing.  |2 fast  |0 (OCoLC)fst00888026 
650 7 |a Computers  |x Computer Science.  |2 bisacsh 
650 7 |a Computers  |x System Administration  |x Storage & Retrieval.  |2 bisacsh 
650 7 |a Computers  |x Security  |x General.  |2 bisacsh 
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700 1 |a Shaw, Scott  |d 1970-  |e author. 
700 1 |a Vermeulen, Andreas François  |e author. 
700 1 |a Gupta, Ankur  |d 1978-  |e author. 
700 1 |a Kjerrumgaard, David  |e author. 
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contents At a Glance; Contents; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: Setting the Stage for Hive: Hadoop; An Elephant Is Born; Hadoop Mechanics; Data Redundancy; Traditional High Availability; Hadoop High Availability; Processing with MapReduce; Beyond MapReduce; YARN and the Modern Data Architecture; Hadoop and the Open Source Community; Where Are We Now; Chapter 2: Introducing Hive; Hadoop Distributions; Cluster Architecture; Hive Installation; Finding Your Way Around; Hive CLI; Chapter 3: Hive Architecture; Hive Components; HCatalog., Hiveserver2Client Tools; Execution Engine: Tez; Chapter 4: Hive Tables DDL; Schema-on-Read; Hive Data Model; Schemas/Databases; Why Use Multiple Schemas/Databases; Creating Databases; Altering Databases; Dropping Databases; List Databases; Data Types in Hive; Primitive Data Types; Choosing Data Types; Complex Data Types; Arrays; Maps; Structs; Unions; Tables; Creating Tables; Listing Tables; Internal/External Tables; External Tables; Internal or Managed Tables; External/Internal Table Example; Table Properties; Generating a Create Table Command for Existing Tables; Partitioning and Bucketing., PartitioningPartitioning Considerations; Efficiently Partitioning on Date Columns; Bucketing; Bucketing Considerations; Temporary Tables; Altering Tables; Renaming Tables; Modifying a Table's Storage Properties; ORC File Format; Merging a Table's Files; Altering Table Partitions; Add Partition; Rename Partition; Modifying Columns; Adding Columns; Dropping Tables/Partitions; Drop Tables; Dropping Partitions; Protecting Tables/Partitions; Other Create Table Command Options; Create Table as Select (CTAS); Create Table Like; Chapter 5: Data Manipulation Language (DML); Loading Data into Tables., Loading Data Using Files Stored on the Hadoop Distributed File SystemUsing Hive to Upload a Data File; Loading Data Using Queries; Using an Existing Table to Create a New Table; Writing Data into the File System from Queries; Using an Existing Table to Create an Output Directory; Inserting Values Directly into Tables; Adding Extra Records to an Existing Table; Updating Data Directly in Tables; Updating Records in an Existing Table; Deleting Data Directly in Tables; Updating Records in an Existing Table; Creating a Table with the Same Structure., Using an Existing Table to Create a New Table with the Same StructureJoins; Using Equality Joins to Combine Tables; Joining Tables in Hive; Using Outer Joins; Joining Tables in Hive Using Left Join; Joining Tables in Hive Using Right Join; Joining Tables in Hive Using a Full Outer Join; Using Left Semi-Joins; Performing a Semi-Join; Using Join with Single MapReduce; Joining Three Tables in One MapReduce; Using Largest Table Last; Transactions; What Is ACID and Why Use It?; Hive Configuration; Chapter 6: Loading Data into Hive; Design Considerations Before Loading Data; Loading Data into HDFS.
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spelling Practical Hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard, [United States] Apress 2016, ©2016, 1 online resource (xxi, 265 pages) : illustrations (some color)., text rdacontent, computer rdamedia, online resource rdacarrier, Includes index., At a Glance; Contents; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: Setting the Stage for Hive: Hadoop; An Elephant Is Born; Hadoop Mechanics; Data Redundancy; Traditional High Availability; Hadoop High Availability; Processing with MapReduce; Beyond MapReduce; YARN and the Modern Data Architecture; Hadoop and the Open Source Community; Where Are We Now; Chapter 2: Introducing Hive; Hadoop Distributions; Cluster Architecture; Hive Installation; Finding Your Way Around; Hive CLI; Chapter 3: Hive Architecture; Hive Components; HCatalog., Hiveserver2Client Tools; Execution Engine: Tez; Chapter 4: Hive Tables DDL; Schema-on-Read; Hive Data Model; Schemas/Databases; Why Use Multiple Schemas/Databases; Creating Databases; Altering Databases; Dropping Databases; List Databases; Data Types in Hive; Primitive Data Types; Choosing Data Types; Complex Data Types; Arrays; Maps; Structs; Unions; Tables; Creating Tables; Listing Tables; Internal/External Tables; External Tables; Internal or Managed Tables; External/Internal Table Example; Table Properties; Generating a Create Table Command for Existing Tables; Partitioning and Bucketing., PartitioningPartitioning Considerations; Efficiently Partitioning on Date Columns; Bucketing; Bucketing Considerations; Temporary Tables; Altering Tables; Renaming Tables; Modifying a Table's Storage Properties; ORC File Format; Merging a Table's Files; Altering Table Partitions; Add Partition; Rename Partition; Modifying Columns; Adding Columns; Dropping Tables/Partitions; Drop Tables; Dropping Partitions; Protecting Tables/Partitions; Other Create Table Command Options; Create Table as Select (CTAS); Create Table Like; Chapter 5: Data Manipulation Language (DML); Loading Data into Tables., Loading Data Using Files Stored on the Hadoop Distributed File SystemUsing Hive to Upload a Data File; Loading Data Using Queries; Using an Existing Table to Create a New Table; Writing Data into the File System from Queries; Using an Existing Table to Create an Output Directory; Inserting Values Directly into Tables; Adding Extra Records to an Existing Table; Updating Data Directly in Tables; Updating Records in an Existing Table; Deleting Data Directly in Tables; Updating Records in an Existing Table; Creating a Table with the Same Structure., Using an Existing Table to Create a New Table with the Same StructureJoins; Using Equality Joins to Combine Tables; Joining Tables in Hive; Using Outer Joins; Joining Tables in Hive Using Left Join; Joining Tables in Hive Using Right Join; Joining Tables in Hive Using a Full Outer Join; Using Left Semi-Joins; Performing a Semi-Join; Using Join with Single MapReduce; Joining Three Tables in One MapReduce; Using Largest Table Last; Transactions; What Is ACID and Why Use It?; Hive Configuration; Chapter 6: Loading Data into Hive; Design Considerations Before Loading Data; Loading Data into HDFS., Online resource; title from PDF title page (SpringerLink, viewed September 8, 2016)., Apache Hadoop., Apache Hadoop. fast (OCoLC)fst01911570, Computer science., Data warehousing., COMPUTERS Database Management Data Warehousing. bisacsh, Data warehousing. fast (OCoLC)fst00888026, Computers Computer Science. bisacsh, Computers System Administration Storage & Retrieval. bisacsh, Computers Security General. bisacsh, Computers Data Modeling & Design. bisacsh, Computers Database Management General. bisacsh, Computer science. bicssc, Data mining. bicssc, Computer security. bicssc, Algorithms & data structures. bicssc, Databases. bicssc, Big data., Computer security., Data structures (Computer science), Database management., Electronic books., Shaw, Scott 1970- author., Vermeulen, Andreas François author., Gupta, Ankur 1978- author., Kjerrumgaard, David author., ELD ebook, LDL ebooks ONIX to marcxml transformation using Record_Load-eBooks_Legal_Deposit_onix2marc_v2-1.xsl 20181113 com.springer.onix.9781484202715 Uk, (OCoLC)957557490, British Library HMNTS DRT ELD.DS.353450
spellingShingle Shaw, Scott, Vermeulen, Andreas François, Gupta, Ankur, Kjerrumgaard, David, Practical Hive: a guide to Hadoop's data warehouse system, At a Glance; Contents; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: Setting the Stage for Hive: Hadoop; An Elephant Is Born; Hadoop Mechanics; Data Redundancy; Traditional High Availability; Hadoop High Availability; Processing with MapReduce; Beyond MapReduce; YARN and the Modern Data Architecture; Hadoop and the Open Source Community; Where Are We Now; Chapter 2: Introducing Hive; Hadoop Distributions; Cluster Architecture; Hive Installation; Finding Your Way Around; Hive CLI; Chapter 3: Hive Architecture; Hive Components; HCatalog., Hiveserver2Client Tools; Execution Engine: Tez; Chapter 4: Hive Tables DDL; Schema-on-Read; Hive Data Model; Schemas/Databases; Why Use Multiple Schemas/Databases; Creating Databases; Altering Databases; Dropping Databases; List Databases; Data Types in Hive; Primitive Data Types; Choosing Data Types; Complex Data Types; Arrays; Maps; Structs; Unions; Tables; Creating Tables; Listing Tables; Internal/External Tables; External Tables; Internal or Managed Tables; External/Internal Table Example; Table Properties; Generating a Create Table Command for Existing Tables; Partitioning and Bucketing., PartitioningPartitioning Considerations; Efficiently Partitioning on Date Columns; Bucketing; Bucketing Considerations; Temporary Tables; Altering Tables; Renaming Tables; Modifying a Table's Storage Properties; ORC File Format; Merging a Table's Files; Altering Table Partitions; Add Partition; Rename Partition; Modifying Columns; Adding Columns; Dropping Tables/Partitions; Drop Tables; Dropping Partitions; Protecting Tables/Partitions; Other Create Table Command Options; Create Table as Select (CTAS); Create Table Like; Chapter 5: Data Manipulation Language (DML); Loading Data into Tables., Loading Data Using Files Stored on the Hadoop Distributed File SystemUsing Hive to Upload a Data File; Loading Data Using Queries; Using an Existing Table to Create a New Table; Writing Data into the File System from Queries; Using an Existing Table to Create an Output Directory; Inserting Values Directly into Tables; Adding Extra Records to an Existing Table; Updating Data Directly in Tables; Updating Records in an Existing Table; Deleting Data Directly in Tables; Updating Records in an Existing Table; Creating a Table with the Same Structure., Using an Existing Table to Create a New Table with the Same StructureJoins; Using Equality Joins to Combine Tables; Joining Tables in Hive; Using Outer Joins; Joining Tables in Hive Using Left Join; Joining Tables in Hive Using Right Join; Joining Tables in Hive Using a Full Outer Join; Using Left Semi-Joins; Performing a Semi-Join; Using Join with Single MapReduce; Joining Three Tables in One MapReduce; Using Largest Table Last; Transactions; What Is ACID and Why Use It?; Hive Configuration; Chapter 6: Loading Data into Hive; Design Considerations Before Loading Data; Loading Data into HDFS., Apache Hadoop., Computer science., Data warehousing., COMPUTERS Database Management Data Warehousing., Computers Computer Science., Computers System Administration Storage & Retrieval., Computers Security General., Computers Data Modeling & Design., Computers Database Management General., Data mining., Computer security., Algorithms & data structures., Databases., Big data., Data structures (Computer science), Database management., Electronic books.
title Practical Hive: a guide to Hadoop's data warehouse system
title_auth Practical Hive a guide to Hadoop's data warehouse system
title_full Practical Hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard
title_fullStr Practical Hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard
title_full_unstemmed Practical Hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard
title_short Practical Hive
title_sort practical hive a guide to hadoop s data warehouse system
title_sub a guide to Hadoop's data warehouse system
topic Apache Hadoop., Computer science., Data warehousing., COMPUTERS Database Management Data Warehousing., Computers Computer Science., Computers System Administration Storage & Retrieval., Computers Security General., Computers Data Modeling & Design., Computers Database Management General., Data mining., Computer security., Algorithms & data structures., Databases., Big data., Data structures (Computer science), Database management., Electronic books.
topic_facet Apache Hadoop., Computer science., Data warehousing., COMPUTERS, Computers, Data mining., Computer security., Algorithms & data structures., Databases., Big data., Data structures (Computer science), Database management., Database Management, Data Warehousing., Computer Science., System Administration, Storage & Retrieval., Security, General., Data Modeling & Design., Electronic books.