Learning Hunk : visualize and analyze your Hadoop data using Hunk /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Anoshin, Dmitry (Autor), Sheypak, Sergey (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Apache Hadoop.
Apache Hadoop
Big data.
Information visualization.
Non-relational databases.
Données volumineuses.
Visualisation de l'information.
Bases de données non relationnelles.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Big data
Information visualization
Non-relational databases
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Meet Hunk; Big data analytics; The big problem; The elegant solution; Supporting SPL; Intermediate results; Getting to know Hunk; Splunk versus Hunk; Hunk architecture; Connecting to Hadoop; Advance Hunk deployment; Native versus virtual indexes; Native indexes; Virtual index; External result provider; Computation models; Data streaming; Data reporting; Mixed mode; Hunk security; One Hunk user to one Hadoop user; Many Hunk users to one Hadoop user.
  • Hunk user(s) to the same Hadoop user with different queuesSetting up Hadoop; Starting and using a virtual machine with CDH5; SSH user; MySQL; Starting the VM and cluster in VirtualBox; Big data use case; Importing data from RDBMS to Hadoop using Sqoop; Telecommunications
  • SMS, Call, and Internet dataset from dandelion.eu; Milano grid map; CDR aggregated data import process; Periodical data import from MySQL using Sqoop and Oozie; Problems to solve; Summary; Chapter 2: Explore Hadoop Data with Hunk; Setting up Hunk; Extracting Hunk to a VM; Setting up Hunk variables and configuration files.
  • Running Hunk for the first timeSetting up a data provider and virtual index for CDR data; Setting up a connection to Hadoop; Setting up a virtual index for data stored in Hadoop; Accessing data through a virtual index; Exploring data; Creating reports; The top five browsers report; Top referrers; Site errors report; Creating alerts; Creating a dashboard; Controlling security with Hunk; The default Hadoop security; One Hunk user to one Hadoop user; Summary; Chapter 3: Meeting Hunk Features; Knowledge objects; Field aliases; Calculated fields; Field extractions; Tags; Event type.
  • Workflow actionsMacros; Data model; Add auto-extracting fields; Adding GeoIP attributes; Other ways to add attributes; Introducing Pivot; Summary; Chapter 4: Adding Speed to Reports; Big data performance issues; Hunk report acceleration; Creating a virtual index; Streaming mode; Creating an acceleration search; What's going on in Hadoop?; Report acceleration summaries; Reviewing summary details; Managing report accelerations; Hunk accelerations limits; Summary; Chapter 5: Customizing Hunk; What we are going to do with the Splunk SDK; Supported languages; Solving problems; REST API.
  • The implementation planThe conclusion; Dashboard customization using Splunk Web Framework; Functionality; A description of time-series aggregated CDR data; Source data; Creating a virtual index for Milano CDR; Creating a virtual index for the Milano grid; Creating a virtual index using sample data; Implementation; Querying the visualization; Downloading the application; Custom Google Maps; Page layout; Linear gradients and bins for the activity value; Custom map components; Other components; The final result; Summary; Chapter 6: Discovering Hunk Integration Apps; What is Mongo?; Installation.

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