Pubbl/distr/stampa	Berkeley, CA : , : USENIX Association, , 2005
Descrizione fisica	1 online resource (25 pages) : illustrations
Disciplina	004.5
Soggetto topico	Computer storage devices File organization (Computer science)
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Altri titoli varianti	FAST'05
Record Nr.	UNINA-9910376653503321

Autore	Lublinsky Boris
Edizione	[1st edition]
Pubbl/distr/stampa	Indianapolis, IN : , : John Wiley and Sons, , [2013]
Descrizione fisica	1 online resource (506 p.)
Disciplina	005.74
Altri autori (Persone)	SmithKevin T YakubovichAlexey
Collana	Wrox Programmer to programmer
Soggetto topico	Electronic data processing - Distributed processing File organization (Computer science) Cloud computing
Soggetto genere / forma	Electronic books.
ISBN	1-118-82418-0 1-118-61254-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Professional Hadoop® Solutions; Copyright; Credits; About the Authors; About the Technical Editors; Acnowledgments; Contents; Introduction; Who This Book Is For; What This Book Covers; How This Book Is Structured; What You Need to Use This Book; Conventions; Source Code; Errata; P2P.Wrox.Com; Chapter 1: Big Data and the Hadoop Ecosystem; Big Data Meets Hadoop; Hadoop: Meeting the Big Data Challenge; Data Science in the Business World; The Hadoop Ecosystem; Hadoop Core Components; Hadoop Distributions; Developing Enterprise Applications with Hadoop; Summary; Chapter 2: Storing Data in Hadoop HDFSHDFS Architecture; Using HDFS Files; Hadoop-Specific File Types; HDFS Federation and High Availability; HBase; HBase Architecture; HBase Schema Design; Programming for HBase; New HBase Features; Combining HDFS and HBase for Effective Data Storage; Using Apache Avro; Managing Metadata with HCatalog; Choosing an Appropriate Hadoop Data Organization for Your Applications; Summary; Chapter 3: Processing Your Data with MapReduce; Getting to Know MapReduce; MapReduce Execution Pipeline; Runtime Coordination and Task Management in MapReduce; Your First MapReduce Application Building and Executing MapReduce ProgramsDesigning MapReduce Implementations; Using MapReduce as a Framework for Parallel Processing; Simple Data Processing with MapReduce; Building Joins with MapReduce; Building Iterative MapReduce Applications; To MapReduce or Not to MapReduce?; Common MapReduce Design Gotchas; Summary; Chapter 4: Customizing MapReduce Execution; Controlling MapReduce Execution with InputFormat; Implementing InputFormat for Compute-Intensive Applications; Implementing InputFormat to Control the Number of Maps; Implementing InputFormat for Multiple HBase Tables Reading Data Your Way with Custom RecordReadersImplementing a Queue-Based RecordReader; Implementing RecordReader for XML Data; Organizing Output Data with Custom Output Formats; Implementing OutputFormat for Splitting MapReduce Job's Output into Multiple Directories; Writing Data Your Way with Custom RecordWriters; Implementing a RecordWriter to Produce Output tar Files; Optimizing Your MapReduce Execution with a Combiner; Controlling Reducer Execution with Partitioners; Implementing a Custom Partitioner for One-to-Many Joins; Using Non-Java Code with Hadoop; Pipes; Hadoop Streaming Using JNISummary; Chapter 5: Building Reliable MapReduce Apps; Unit Testing MapReduce Applications; Testing Mappers; Testing Reducers; Integration Testing; Local Application Testing with Eclipse; Using Logging for Hadoop Testing; Processing Applications Logs; Reporting Metrics with Job Counters; Defensive Programming in MapReduce; Summary; Chapter 6: Automating Data Processing with Oozie; Getting to Know Oozie; Oozie Workflow; Executing Asynchronous Activities in Oozie Workflow; Oozie Recovery Capabilities; Oozie Workflow Job Life Cycle; Oozie Coordinator; Oozie Bundle Oozie Parameterization with Expression Language
Record Nr.	UNINA-9910462616903321

Autore	Narayanan Sudheesh
Edizione	[1st edition]
Pubbl/distr/stampa	Birmingham : , : Packt Publishing, , 2013
Descrizione fisica	1 online resource (116 p.)
Collana	Community experience distilled
Soggetto topico	Electronic data processing - Distributed processing File organization (Computer science)
Soggetto genere / forma	Electronic books.
ISBN	1-78328-526-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910453708503321

Pubbl/distr/stampa	New York, N.Y. : , : Special Interest Group on the Management of Data, , 1976-
Descrizione fisica	1 online resource
Disciplina	005
Soggetto topico	Database management File organization (Computer science) Bases de données - Gestion Gegevens
ISSN	1943-5835
Formato	Materiale a stampa
Livello bibliografico	Periodico
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910375860703321

Autore	Narayanan Sudheesh
Edizione	[1st edition]
Pubbl/distr/stampa	Birmingham : , : Packt Publishing, , 2013
Descrizione fisica	1 online resource (116 p.)
Disciplina	004.36
Collana	Community experience distilled
Soggetto topico	Electronic data processing - Distributed processing File organization (Computer science)
ISBN	1-78328-526-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Hadoop Security Overview -- Why do we need to secure Hadoop? -- Challenges for securing the Hadoop ecosystem -- Key security considerations -- Reference architecture for Big Data security -- Summary -- Chapter 2: Hadoop Security Design -- What is Kerberos? -- Key Kerberos terminologies -- How Kerberos works? -- Kerberos advantages -- The Hadoop default security model with Kerberos -- Hadoop Kerberos security implementation -- User-level access controls -- Service-level access controls -- User and service authentication -- Delegation Token -- Job Token -- Block Access Token -- Summary -- Chapter 3: Setting up a Secured Hadoop Cluster -- Prerequisites -- Setting up Kerberos -- Installing the Key Distribution Center -- Configuring the Key Distribution Center -- Establishing the KDC database -- Setting up the administrator principal for KDC -- Starting the Kerberos daemons -- Setting up the first Kerberos administrator -- Adding the user or service principals -- Configuring LDAP as the Kerberos database -- Supporting AES-256 encryption for a Kerberos ticket -- Configuring Hadoop with Kerberos authentication -- Setting up the Kerberos client on all the Hadoop nodes -- Setting up the Hadoop service principals -- Creating a keytab file for the Hadoop services -- Distributing the keytab file for all slaves -- Setting up the Hadoop configuration files -- HDFS-related configurations -- MRV1-related configurations -- MRV2-related configurations -- Setting up secured DataNode -- Setting up the TaskController class -- Configuring users for Hadoop -- Automation of secured Hadoop deployment -- Summary -- Chapter 4: Securing the Hadoop Ecosystem -- Configuring Kerberos for Hadoop ecosystem components -- Securing Hive. Securing Hive using Sentry -- Securing Oozie -- Securing Flume -- Securing Flume sources -- Securing Hadoop sink -- Securing a Flume channel -- Securing HBase -- Securing Sqoop -- Securing Pig -- Best practices for securing the Hadoop ecosystem components -- Summary -- Chapter 5: Integrating Hadoop with Enterprise Security Systems -- Integrating Enterprise Identity Management systems -- Configuring EIM integration with Hadoop -- Integrating Active Directory-based EIM with the Hadoop ecosystem -- Accessing a secured Hadoop cluster from an enterprise network -- HttpFS -- HUE -- Knox Gateway Server -- Summary -- Chapter 6: Securing Sensitive Data in Hadoop -- Securing sensitive data in Hadoop -- Approach for securing insights in Hadoop -- Securing data in motion -- Securing data at rest -- Implementing data encryption in Hadoop -- Summary -- Chapter 7: Security Event and Audit Logging in Hadoop -- Security Incident and Event Monitoring in a Hadoop Cluster -- The Security Incident and Event Monitoring (SIEM) system -- Setting up audit logging in a secured Hadoop cluster -- Configuring Hadoop audit logs -- Summary -- Appendix: Solutions Available for Securing Hadoop -- Hadoop distribution with enhanced security support -- Automation of secured Hadoop cluster deployment -- Cloudera Manager -- Zettaset -- Different Hadoop data encryption options -- Dataguise for Hadoop -- Gazzang zNcrypt -- eCryptfs for Hadoop -- Securing the Hadoop ecosystem with Project Rhino -- Mapping of the security technologies with the reference architecture -- Infrastructure security -- OS and filesystem security -- Application security -- Network perimeter security -- Data masking and encryption -- Authentication and authorization -- Audit logging, security policies, and procedures -- Security Incident and Event Monitoring -- Index.
Record Nr.	UNINA-9910819554203321