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Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.


When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the
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Modern Big Data Processing with Hadoop: Expert techniques for architecting end-to-end Big Data solutions to get valuable insights
Modern Big Data Processing with Hadoop: Expert techniques for architecting end-to-end Big Data solutions to get valuable insights

A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop

Key Features

  • Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform
  • Conquer different data...
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use...
Cloud Native Development Patterns and Best Practices: Practical architectural patterns for building modern, distributed cloud-native systems
Cloud Native Development Patterns and Best Practices: Practical architectural patterns for building modern, distributed cloud-native systems

Learn to apply cloud-native patterns and practices to deliver responsive, resilient and message-driven systems with confidence

Key Features

  • Understand the architectural patterns involved in cloud-native architectures
  • Minimize risk by evolving your monolithic applications...
Java EE 8 Cookbook: Build reliable applications with the most robust and mature technology for enterprise development
Java EE 8 Cookbook: Build reliable applications with the most robust and mature technology for enterprise development

A practical guide for building effective enterprise solutions with Java EE 8

Key Features

  • Recipes to get you up-and-running with Java EE 8 application development
  • Learn how to apply the major Java EE 8 APIs and specifications
  • Implement microservices and...
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...
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.

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Full-Stack React Projects: Modern web development using React 16, Node, Express, and MongoDB
Full-Stack React Projects: Modern web development using React 16, Node, Express, and MongoDB

Unleash the power of MERN stack by building diverse web applications using React, Node.js, Express, and MongoDB

Key Features

  • Create dynamic web applications with the MERN stack
  • Leverage the power of React in building interactive and complex user interfaces
  • ...
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

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Expanding Your Raspberry Pi: Storage, printing, peripherals, and network connections for your Raspberry Pi
Expanding Your Raspberry Pi: Storage, printing, peripherals, and network connections for your Raspberry Pi
Gain a deeper understanding of how Raspberry Pi works to get the results you want right in the palm of your hand. This book helps you understand the right connections and software to drive your Raspberry Pi into opening the worlds of programming, electronic experiments, system control, digital imaging, and the Internet of Things to you. ...
Content Networking in the Mobile Internet
Content Networking in the Mobile Internet

A cutting-edge guide to the next generation Mobile Internet architecture and applications

The last several years have witnessed dramatic changes in the wireless Web interface environment, specifically in the way that content is stored, distributed, and checked for consistency while leveraging location awareness. This phenomenon is...

PySpark Recipes: A Problem-Solution Approach with PySpark2
PySpark Recipes: A Problem-Solution Approach with PySpark2
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!

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