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Microsoft big data solutions / / Adam Jorgensen [and five others] ; executive editor, Robert Elliot ; project editor, Jennifer Lynn ; cover designer, Ryan Sneed
Microsoft big data solutions / / Adam Jorgensen [and five others] ; executive editor, Robert Elliot ; project editor, Jennifer Lynn ; cover designer, Ryan Sneed
Autore Jorgensen Adam
Edizione [1st edition]
Pubbl/distr/stampa Indianapolis, Indiana : , : Wiley, , 2014
Descrizione fisica 1 online resource (410 p.)
Disciplina 005.74
Altri autori (Persone) JorgensenAdam
ElliotRobert
LynnJennifer
SneedRyan
Soggetto topico Cloud computing
Computers
Web services
ISBN 1-118-72955-2
1-118-74209-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 Factors Deployment 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; HD Insight Service: Installing in the Cloud; Windows Azure Storage Explorer Options; Validating Your New Cluster; Logging into HD Insight 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 HCatalog Exploring 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
Name Nodes and Data Nodes Data 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 Databases Creating 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
Using HBase or Hive as a Data Warehouse
Record Nr. UNINA-9910787882403321
Jorgensen Adam  
Indianapolis, Indiana : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microsoft big data solutions / / Adam Jorgensen [and five others] ; executive editor, Robert Elliot ; project editor, Jennifer Lynn ; cover designer, Ryan Sneed
Microsoft big data solutions / / Adam Jorgensen [and five others] ; executive editor, Robert Elliot ; project editor, Jennifer Lynn ; cover designer, Ryan Sneed
Autore Jorgensen Adam
Edizione [1st edition]
Pubbl/distr/stampa Indianapolis, Indiana : , : Wiley, , 2014
Descrizione fisica 1 online resource (410 p.)
Disciplina 005.74
Altri autori (Persone) JorgensenAdam
ElliotRobert
LynnJennifer
SneedRyan
Soggetto topico Cloud computing
Computers
Web services
ISBN 1-118-72955-2
1-118-74209-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 Factors Deployment 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; HD Insight Service: Installing in the Cloud; Windows Azure Storage Explorer Options; Validating Your New Cluster; Logging into HD Insight 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 HCatalog Exploring 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
Name Nodes and Data Nodes Data 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 Databases Creating 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
Using HBase or Hive as a Data Warehouse
Record Nr. UNINA-9910823169303321
Jorgensen Adam  
Indianapolis, Indiana : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microsoft big data solutions / / Adam Jorgensen [and five others] ; executive editor, Robert Elliot ; project editor, Jennifer Lynn ; cover designer, Ryan Sneed
Microsoft big data solutions / / Adam Jorgensen [and five others] ; executive editor, Robert Elliot ; project editor, Jennifer Lynn ; cover designer, Ryan Sneed
Edizione [1st edition]
Pubbl/distr/stampa Indianapolis, Indiana : , : Wiley, , 2014
Descrizione fisica 1 online resource (410 p.)
Disciplina 005.74
Altri autori (Persone) JorgensenAdam
ElliotRobert
LynnJennifer
SneedRyan
Soggetto topico Cloud computing
Computers
Web services
Soggetto genere / forma Electronic books.
ISBN 1-118-72955-2
1-118-74209-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 Factors Deployment 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; HD Insight Service: Installing in the Cloud; Windows Azure Storage Explorer Options; Validating Your New Cluster; Logging into HD Insight 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 HCatalog Exploring 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
Name Nodes and Data Nodes Data 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 Databases Creating 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
Using HBase or Hive as a Data Warehouse
Record Nr. UNINA-9910464049503321
Indianapolis, Indiana : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui