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Spring Recipes: A Problem-Solution Approach
Spring Recipes: A Problem-Solution Approach

Spring Recipes: A Problem-Solution Approach, Third Edition builds upon the best-selling success of the previous editions and focuses on the latest Spring Framework features for building enterprise Java applications. This book provides code recipes for the following, found in the latest Spring:

  • Spring fundamentals:...
R in a Nutshell (In a Nutshell (O'Reilly))
R in a Nutshell (In a Nutshell (O'Reilly))

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data....

Agile Data Science: Building Data Analytics Applications with Hadoop
Agile Data Science: Building Data Analytics Applications with Hadoop

Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop.

Using lightweight tools such as Python, Apache Pig, and the...

Programming Elastic MapReduce: Using AWS Services to Build an End-to-End Application
Programming Elastic MapReduce: Using AWS Services to Build an End-to-End Application

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web...

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...
Apache Hive Essentials
Apache Hive Essentials

Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

About This Book

  • Discover how Hive can coexist and work with other tools in the Hadoop ecosystem to create big data solutions
  • Grasp the skills needed, learn the best practices, and avoid the...
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...

Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

Looking...

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...
Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

...
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...
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