Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; …
Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense.
If you are a business analyst who wants to understand how to improve your data analysis and how to apply predictive analytics, then this book is ideal for you. This book assumes you have some basic knowledge of statistics and a spreadsheet editor such as Excel, but knowledge of …
Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its librariesAbout This Book* This book contains recipes on how to use Apache Spark as a unified compute engine* Cover how to connect various source systems to Apache Spark* Covers…
Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand your data and summarize its main characteristics. You'll also uncover the structure of your data, and y…
Over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLib, and GraphX libraries.
If you are a data engineer, an application developer, or a data scientist who would like to leverage the power of Apache Spark to get better insights from big data, then this is the book for you.
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This book is intended for developers and operators who want to build and run scalable and fault-tolerant applications leveraging Apache Mesos. A basic knowledge of programming with some fundamentals of Linux is a prerequisite.
