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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,...

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...
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...
Dashboards for Excel
Dashboards for Excel

This book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is...

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...
SQL Server Analysis Services 2012 Cube Development Cookbook
SQL Server Analysis Services 2012 Cube Development Cookbook

If you prefer the instructional approach to a lot of theory, this cookbook is for you. It takes you straight into building data cubes through hands-on recipes, helping you get to grips with SQL Server Analysis Services fast.

Overview

  • Develop Business Intelligence solutions using a multi-dimensional model...
Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.

You’ll discover the...

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...
Programming Persistent Memory: A Comprehensive Guide for Developers
Programming Persistent Memory: A Comprehensive Guide for Developers

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...

Foundations for Analytics with Python
Foundations for Analytics with Python

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in...

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