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The Resource Microsoft Big Data Solutions, (electronic resource)
Microsoft Big Data Solutions, (electronic resource)
Resource Information
The item Microsoft Big Data Solutions, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Calgary Public Library.This item is available to borrow from all library branches.
Resource Information
The item Microsoft Big Data Solutions, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Calgary Public Library.
This item is available to borrow from all library branches.
- Summary
- Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studie
- Language
- eng
- Extent
- 1 online resource (410 pages)
- Note
- Using HBase or Hive as a Data Warehouse
- Contents
-
- Cover; Title Page; Copyright; Contents; Introduction; Part I What Is Big Data?; Chapter 1 Industry Needs and Solutions; What's So Big About Big Data?; A Brief History of Hadoop; Google; Nutch; What Is Hadoop?; Derivative Works and Distributions; Hadoop Distributions; Core Hadoop Ecosystem; Important Apache Projects for Hadoop; The Future for Hadoop; Summary; Chapter 2 Microsoft's Approach to Big Data; A Story of "Better Together"; Competition in the Ecosystem; SQL on Hadoop Today; Hortonworks and Stinger; Cloudera and Impala; Microsoft's Contribution to SQL in Hadoop; Deploying Hadoop
- Deployment FactorsDeployment Topologies; Deployment Scorecard; Summary; Part II Setting Up for Big Data with Microsoft; Chapter 3 Configuring Your First Big Data Environment; Getting Started; Getting the Install; Running the Installation; On-Premise Installation: Single-Node Installation; HDInsight Service: Installing in the Cloud; Windows Azure Storage Explorer Options; Validating Your New Cluster; Logging into HDInsight Service; Verify HDP Functionality in the Logs; Common Post-Setup Tasks; Loading Your First Files; Verifying Hive and Pig; Summary; Part III Storing and Managing Big Data
- Chapter 4 HDFS, Hive, HBase, and HCatalogExploring the Hadoop Distributed File System; Explaining the HDFS Architecture; Interacting with HDFS; Exploring Hive: The Hadoop Data Warehouse Platform; Designing, Building, and Loading Tables; Querying Data; Configuring the Hive ODBC Driver; Exploring HCatalog: HDFS Table and Metadata Management; Exploring HBase: An HDFS Column-Oriented Database; Columnar Databases; Defining and Populating an HBase Table; Using Query Operations; Summary; Chapter 5 Storing and Managing Data in HDFS; Understanding the Fundamentals of HDFS; HDFS Architecture
- NameNodes and DataNodesData Replication; Using Common Commands to Interact with HDFS; Interfaces for Working with HDFS; File Manipulation Commands; Administrative Functions in HDFS; Moving and Organizing Data in HDFS; Moving Data in HDFS; Implementing Data Structures for Easier Management; Rebalancing Data; Summary; Chapter 6 Adding Structure with Hive; Understanding Hive's Purpose and Role; Providing Structure for Unstructured Data; Enabling Data Access and Transformation; Differentiating Hive from Traditional RDBMS Systems; Working with Hive; Creating and Querying Basic Tables
- Creating DatabasesCreating Tables; Adding and Deleting Data; Querying a Table; Using Advanced Data Structures with Hive; Setting Up Partitioned Tables; Loading Partitioned Tables; Using Views; Creating Indexes for Tables; Summary; Chapter 7 Expanding Your Capability with HBase and HCatalog; Using HBase; Creating HBase Tables; Loading Data into an HBase Table; Performing a Fast Lookup; Loading and Querying HBase; Managing Data with HCatalog; Working with HCatalog and Hive; Defining Data Structures; Creating Indexes; Creating Partitions; Integrating HCatalog with Pig and Hive
- Isbn
- 9781118742099
- Label
- Microsoft Big Data Solutions
- Title
- Microsoft Big Data Solutions
- Language
- eng
- Summary
- Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studie
- Cataloging source
- EBLCP
- http://library.link/vocab/creatorName
- Jorgensen, Adam
- Dewey number
- 006.7/6
- Index
- no index present
- LC call number
- TK5105.88813
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
-
- Rowland-Jones, James
- Welch, John
- Clark, Dan
- Price, Christopher
- Mitchell, Brian
- http://library.link/vocab/subjectName
-
- Cloud computing
- Computers
- Web services
- Cloud computing
- Computers
- Web services
- Label
- Microsoft Big Data Solutions, (electronic resource)
- Note
- Using HBase or Hive as a Data Warehouse
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Cover; Title Page; Copyright; Contents; Introduction; Part I What Is Big Data?; Chapter 1 Industry Needs and Solutions; What's So Big About Big Data?; A Brief History of Hadoop; Google; Nutch; What Is Hadoop?; Derivative Works and Distributions; Hadoop Distributions; Core Hadoop Ecosystem; Important Apache Projects for Hadoop; The Future for Hadoop; Summary; Chapter 2 Microsoft's Approach to Big Data; A Story of "Better Together"; Competition in the Ecosystem; SQL on Hadoop Today; Hortonworks and Stinger; Cloudera and Impala; Microsoft's Contribution to SQL in Hadoop; Deploying Hadoop
- Deployment FactorsDeployment Topologies; Deployment Scorecard; Summary; Part II Setting Up for Big Data with Microsoft; Chapter 3 Configuring Your First Big Data Environment; Getting Started; Getting the Install; Running the Installation; On-Premise Installation: Single-Node Installation; HDInsight Service: Installing in the Cloud; Windows Azure Storage Explorer Options; Validating Your New Cluster; Logging into HDInsight Service; Verify HDP Functionality in the Logs; Common Post-Setup Tasks; Loading Your First Files; Verifying Hive and Pig; Summary; Part III Storing and Managing Big Data
- Chapter 4 HDFS, Hive, HBase, and HCatalogExploring the Hadoop Distributed File System; Explaining the HDFS Architecture; Interacting with HDFS; Exploring Hive: The Hadoop Data Warehouse Platform; Designing, Building, and Loading Tables; Querying Data; Configuring the Hive ODBC Driver; Exploring HCatalog: HDFS Table and Metadata Management; Exploring HBase: An HDFS Column-Oriented Database; Columnar Databases; Defining and Populating an HBase Table; Using Query Operations; Summary; Chapter 5 Storing and Managing Data in HDFS; Understanding the Fundamentals of HDFS; HDFS Architecture
- NameNodes and DataNodesData Replication; Using Common Commands to Interact with HDFS; Interfaces for Working with HDFS; File Manipulation Commands; Administrative Functions in HDFS; Moving and Organizing Data in HDFS; Moving Data in HDFS; Implementing Data Structures for Easier Management; Rebalancing Data; Summary; Chapter 6 Adding Structure with Hive; Understanding Hive's Purpose and Role; Providing Structure for Unstructured Data; Enabling Data Access and Transformation; Differentiating Hive from Traditional RDBMS Systems; Working with Hive; Creating and Querying Basic Tables
- Creating DatabasesCreating Tables; Adding and Deleting Data; Querying a Table; Using Advanced Data Structures with Hive; Setting Up Partitioned Tables; Loading Partitioned Tables; Using Views; Creating Indexes for Tables; Summary; Chapter 7 Expanding Your Capability with HBase and HCatalog; Using HBase; Creating HBase Tables; Loading Data into an HBase Table; Performing a Fast Lookup; Loading and Querying HBase; Managing Data with HCatalog; Working with HCatalog and Hive; Defining Data Structures; Creating Indexes; Creating Partitions; Integrating HCatalog with Pig and Hive
- Control code
- ocn871224322
- Dimensions
- unknown
- Extent
- 1 online resource (410 pages)
- Form of item
- online
- Isbn
- 9781118742099
- Isbn Type
- (electronic bk.)
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- remote
- System control number
- (OCoLC)871224322
- Label
- Microsoft Big Data Solutions, (electronic resource)
- Note
- Using HBase or Hive as a Data Warehouse
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Cover; Title Page; Copyright; Contents; Introduction; Part I What Is Big Data?; Chapter 1 Industry Needs and Solutions; What's So Big About Big Data?; A Brief History of Hadoop; Google; Nutch; What Is Hadoop?; Derivative Works and Distributions; Hadoop Distributions; Core Hadoop Ecosystem; Important Apache Projects for Hadoop; The Future for Hadoop; Summary; Chapter 2 Microsoft's Approach to Big Data; A Story of "Better Together"; Competition in the Ecosystem; SQL on Hadoop Today; Hortonworks and Stinger; Cloudera and Impala; Microsoft's Contribution to SQL in Hadoop; Deploying Hadoop
- Deployment FactorsDeployment Topologies; Deployment Scorecard; Summary; Part II Setting Up for Big Data with Microsoft; Chapter 3 Configuring Your First Big Data Environment; Getting Started; Getting the Install; Running the Installation; On-Premise Installation: Single-Node Installation; HDInsight Service: Installing in the Cloud; Windows Azure Storage Explorer Options; Validating Your New Cluster; Logging into HDInsight Service; Verify HDP Functionality in the Logs; Common Post-Setup Tasks; Loading Your First Files; Verifying Hive and Pig; Summary; Part III Storing and Managing Big Data
- Chapter 4 HDFS, Hive, HBase, and HCatalogExploring the Hadoop Distributed File System; Explaining the HDFS Architecture; Interacting with HDFS; Exploring Hive: The Hadoop Data Warehouse Platform; Designing, Building, and Loading Tables; Querying Data; Configuring the Hive ODBC Driver; Exploring HCatalog: HDFS Table and Metadata Management; Exploring HBase: An HDFS Column-Oriented Database; Columnar Databases; Defining and Populating an HBase Table; Using Query Operations; Summary; Chapter 5 Storing and Managing Data in HDFS; Understanding the Fundamentals of HDFS; HDFS Architecture
- NameNodes and DataNodesData Replication; Using Common Commands to Interact with HDFS; Interfaces for Working with HDFS; File Manipulation Commands; Administrative Functions in HDFS; Moving and Organizing Data in HDFS; Moving Data in HDFS; Implementing Data Structures for Easier Management; Rebalancing Data; Summary; Chapter 6 Adding Structure with Hive; Understanding Hive's Purpose and Role; Providing Structure for Unstructured Data; Enabling Data Access and Transformation; Differentiating Hive from Traditional RDBMS Systems; Working with Hive; Creating and Querying Basic Tables
- Creating DatabasesCreating Tables; Adding and Deleting Data; Querying a Table; Using Advanced Data Structures with Hive; Setting Up Partitioned Tables; Loading Partitioned Tables; Using Views; Creating Indexes for Tables; Summary; Chapter 7 Expanding Your Capability with HBase and HCatalog; Using HBase; Creating HBase Tables; Loading Data into an HBase Table; Performing a Fast Lookup; Loading and Querying HBase; Managing Data with HCatalog; Working with HCatalog and Hive; Defining Data Structures; Creating Indexes; Creating Partitions; Integrating HCatalog with Pig and Hive
- Control code
- ocn871224322
- Dimensions
- unknown
- Extent
- 1 online resource (410 pages)
- Form of item
- online
- Isbn
- 9781118742099
- Isbn Type
- (electronic bk.)
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- remote
- System control number
- (OCoLC)871224322
Library Locations
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Saddletowne LibraryBorrow it7556 Falconridge Blvd NE, Calgary, Alberta, T3J 0C9, CA51.1212759 -113.9469193
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Shaganappi LibraryBorrow it3415 8th Avenue SW, Calgary, Alberta, T3C 0E8, CA51.0448674 -114.1367083
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Signal Hill LibraryBorrow it5994 Signal Hill Centre SW, Calgary, Alberta, T3H 3P8, CA51.0180759 -114.1755888
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Southwood LibraryBorrow it924 Southland Drive SW, Calgary, Alberta, T2W 0J9, CA50.963642 -114.0858663
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Village Square LibraryBorrow it2623 56th Street NE, Calgary, Alberta, T1Y 6E7, CA51.0755508 -113.9526426
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.calgarylibrary.ca/portal/Microsoft-Big-Data-Solutions-electronic/WngXxr-Su4I/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.calgarylibrary.ca/portal/Microsoft-Big-Data-Solutions-electronic/WngXxr-Su4I/">Microsoft Big Data Solutions, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.calgarylibrary.ca/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.calgarylibrary.ca/">Calgary Public Library</a></span></span></span></span></div>
