Vijay Karambelkar Apache Hadoop 3 Quick Start Guide

Learn about big data processing and analytics
1. Auflage 2018
ISBN: 978-1-78899-434-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 220 Seiten

No detailed description available for "Apache Hadoop 3 Quick Start Guide".

Autoren/Hrsg.

Vijay Karambelkar, Hrishikesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Hadoop 3.0 - Background and Introduction
- Planning and Setting Up Hadoop Clusters
- Deep Dive into the Hadoop Distributed File System
- Developing MapReduce Applications
- Building Rich YARN Applications
- Monitoring and Administration of a Hadoop Cluster
- Demystifying Hadoop Ecosystem Components
- Advanced Topics in Apache Hadoop

Über Autor(innen)

Vijay Karambelkar Hrishikesh:
Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.