Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Buy

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 large datasets
  • Create detailed analysis reports with real-world data

Book Description

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.

The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools.

By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs.

What you will learn

  • Use Python to read and transform data into different formats
  • Generate basic statistics and metrics using data on disk
  • Work with computing tasks distributed over a cluster
  • Convert data from various sources into storage or querying formats
  • Prepare data for statistical analysis, visualization, and machine learning
  • Present data in the form of effective visuals

Who this book is for

Big Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book.

Table of Contents

  1. The Python Data Science Stack
  2. Statistical Visualizations
  3. Working with Big Data Frameworks
  4. Diving Deeper with Spark
  5. Handling Missing Values and Correlation Analysis
  6. Exploratory Data Analysis
  7. Reproducibility in Big Data Analysis
  8. Creating a Full Analysis Report
(HTML tags aren't allowed.)

Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges.

Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering,...

Grid Resource Management: On-demand Provisioning, Advance Reservation, and Capacity Planning of Grid Resources
Grid Resource Management: On-demand Provisioning, Advance Reservation, and Capacity Planning of Grid Resources

In a dynamic computing environment, such as the Grid, resource management plays a crucial role for making distributed resources available on-demand to anyone from anywhere at any time without undermining the resource autonomy; this becomes an art when dealing with heterogeneous resources distributed under multiple trust domains spanning across...

Excel 2007 Charts Made Easy (Made Easy Series)
Excel 2007 Charts Made Easy (Made Easy Series)
Product Description

Get beyond the basics with Excel 2007 charts

Now you can take your Excel charting skills to the next level with help from this hands-on guide. Excel 2007 Charts Made Easy shows you how to upgrade from simple pie and bar charts to rich data visualization using the full...


Network Your Computers & Devices Step by Step
Network Your Computers & Devices Step by Step

In a modern home, it is no longer unusual for family members to own multiple computers and network devices. In most houses, you can find at least a desktop computer, which is generally used for more performance-intensive tasks such as gaming or professional work of any kind. Parents bring home their work laptops or notebooks, which they...

Express Web Application Development
Express Web Application Development

Here's a comprehensive guide to making the most of Express's flexibility in building web applications. With lots of screenshots and examples, it's the perfect step-by-step manual for those with an intermediate knowledge of JavaScript.

Overview

  • Exploring all aspects of web development using the...
Internet Television
Internet Television
Internet television is the quintessential digital convergence medium, putting together television, telecommunications, the Internet, computer applications, games, and more. It is part of a historic move from individualized narrowband capacity, measured by kilobits per user, to one of broadband with a capacity of megabits per user. This move will...
©2020 LearnIT (support@pdfchm.net) - Privacy Policy