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Learning Storm
Learning Storm

Create real-time stream processing applications with Apache Storm

About This Book

  • Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka
  • Explore log processing and machine learning using Storm
  • Step-by-step and easy-to-understand guide to...
Learning Spark: Lightning-Fast Big Data Analysis
Learning Spark: Lightning-Fast Big Data Analysis

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java,...

Mastering Hadoop
Mastering Hadoop

Go beyond the basics and master the next generation of Hadoop data processing platforms

About This Book

  • Learn how to optimize Hadoop MapReduce, Pig and Hive
  • Dive into YARN and learn how it can integrate Storm with Hadoop
  • Understand how Hadoop can be deployed on the cloud...
Fast Data Processing with Spark - Second Edition
Fast Data Processing with Spark - Second Edition

Perform real-time analytics using Spark in a fast, distributed, and scalable way

About This Book

  • Develop a machine learning system with Spark's MLlib and scalable algorithms
  • Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
  • This is a...
Google Cloud Platform for Architects: Design and manage powerful cloud solutions
Google Cloud Platform for Architects: Design and manage powerful cloud solutions

Get started with GCP and manage robust, highly available, and dynamic solutions to drive business objectives

Key Features

  • Identify the strengths, weaknesses and ideal use cases for individual services offered on the Google Cloud Platform (GCP)
  • Make intelligent choices...
Practical Hadoop Migration: How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL
Practical Hadoop Migration: How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL

Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to...

Mastering Java Machine Learning: Mastering and implementing advanced techniques in machine learning
Mastering Java Machine Learning: Mastering and implementing advanced techniques in machine learning

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning

About This Book

  • Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects
  • More than 15 open source Java tools...
Talend for Big Data
Talend for Big Data

If you want to start working on big data projects fast, this is the guide you've been looking for. Delve deep into Talend and discover how just how easily you can revolutionize your data handling and presentation.

Overview

  • Write complex processing job codes easily with the help of clear and step by...
Storm Blueprints: Patterns for Distributed Real-time Computation
Storm Blueprints: Patterns for Distributed Real-time Computation

A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications.

Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and
...

Practical Hive: A Guide to Hadoop's Data Warehouse System
Practical Hive: A Guide to Hadoop's Data Warehouse System

Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored...

Programming Hive
Programming Hive
Programming Hive introduces Hive, an essential tool in the Hadoop ecosystem that provides an SQL (Structured Query Language) dialect for querying data stored in the Hadoop Distributed Filesystem (HDFS), other filesystems that integrate with Hadoop, such as MapR-FS and Amazon’s S3 and databases like HBase (the...
Spring Data
Spring Data
The data access landscape over the past seven or so years has changed dramatically. Relational databases, the heart of storing and processing data in the enterprise for over 30 years, are no longer the only game in town. The past seven years have seen the birth —and in some cases the death—of many...
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