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Microservices Deployment Cookbook
Microservices Deployment Cookbook

Key Features

  • Adopt microservices-based architecture and deploy it at scale
  • Build your complete microservice architecture using different recipes for different solutions
  • Identify specific tools for specific scenarios and deliver immediate business results, correlate use cases, and adopt them...
Reactive Design Patterns
Reactive Design Patterns

Summary

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly...

Professional Scala: Combine object-oriented and functional programming to build high-performance applications
Professional Scala: Combine object-oriented and functional programming to build high-performance applications

If your application source code is overly verbose, it can be a nightmare to maintain. Write concise and expressive, type-safe code in an environment that lets you build for the JVM, browser, and more.

Key Features

  • Expert guidance that shows you to efficiently use both object-oriented and...
Scala for Java Developers: A Practical Primer
Scala for Java Developers: A Practical Primer

Master the fundamentals of Scala and understand its emphasis on functional programming that sets it apart from Java. This book will help you translate what you already know in Java to Scala to start your functional programming journey. Learn Scala is split into four parts: a tour of Scala, a comparison between Java and Scala,...

Fast Data Processing with Spark (Community Experience Distilled)
Fast Data Processing with Spark (Community Experience Distilled)

High-speed distributed computing made easy with Spark

Overview

  • Implement Spark's interactive shell to prototype distributed applications
  • Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
  • Use Shark's SQL query-like syntax with...
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

Key Features

  • Create and share interactive documents with live code, text and visualizations
  • Integrate popular programming languages such as Python, R, Julia, Scala...
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

  • Use Anaconda to find solutions for clustering, classification, and linear regression
  • Analyze your data efficiently with the most powerful data...
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,...

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...
Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well...

Mastering Apache Spark
Mastering Apache Spark

Gain expertise in processing and storing data by using advanced techniques with Apache Spark

About This Book

  • Explore the integration of Apache Spark with third party applications such as H20, Databricks and Titan
  • Evaluate how Cassandra and Hbase can be used for storage
  • An...
Elastic Beanstalk
Elastic Beanstalk

Thank you for picking up a copy of this book. Amazon Elastic Beanstalk is one of Amazon AWS’s services. It offers a platform for easy deployment of web applications. The first version of Elastic Beanstalk handles Java applications running in a Tomcat container. Deploying an application has been made as easy as uploading your WAR...

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