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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...
Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition
Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.

Key Features

  • Grasp the skills needed to write efficient Hive queries to analyze the Big Data
  • Discover how Hive can coexist and work with other tools within the Hadoop...
Complete Guide to Open Source Big Data Stack
Complete Guide to Open Source Big Data Stack

See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.

In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private...

Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

Key Features

  • Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
  • Integrate Hadoop with other big data tools such as R, Python, Apache...
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as...
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...
Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts
Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts

Transform yourself into a specialist in DevOps adoption for Big Data on cloud

Key Features

  • Learn the concepts of Bigdata and Devops and Implement them
  • Get Acquainted with DevOps Frameworks Methodologies and Tools
  • A practical approach to build and work efficiently with your...
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Get command of your organizational Big Data using the power of data science and analytics

Key Features

  • A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions
  • Work with the best tools such as Apache...
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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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

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