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Bundle Details
Apache Spark Quick Start Guide
epub
mixed
pdf
A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.
Key Features
- Learn about the core concepts and the latest developments in Apache Spark
- Master writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysis
- Get introduced to a variety of optimizations based on the actual experience
Book Description
Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases.
It will also introduce you to Apache Spark - one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts.
This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis.
Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications.
What you will learn
- Learn core concepts such as RDDs, DataFrames, transformations, and more
- Set up a Spark development environment
- Choose the right APIs for your applications
- Understand Spark's architecture and the execution flow of a Spark application
- Explore built-in modules for SQL, streaming, ML, and graph analysis
- Optimize your Spark job for better performance
Who this book is for
If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.
eBook Details
Language: Englsh
Publication Date: January 2019
Publisher: Packt
Formats: epubmixedpdf
Pages: 154
ISBN: 9781789342666
Special Offers
About this Bundle
All the essential components of data science & analysis development workflows for all your complex programming needs are covered here in the latest updated Data Science Bundle 2nd Edition
With 20 easy-to-follow eBooks across three tiers, featuring 7 all new-to-Fanatical titles, you’ll tackle the most sophisticated problems, build a working relationship & understanding of Data Science and use the likes of Python and its extensive libraries to power your way to new levels of data insight, as well as applying data science to successful marketing campaigns & projects.
Tier One introduces four eBooks: Data Science Algorithms in a Week 2nd Edition, which shows you with step by step instructions, on how to build a strong foundation of machine learning algorithms in 7 days, while PythonData Science Essentials 3rd Edition will help you succeed in data science operations using the most common Python libraries.
With Tier Two, you’ll not only get Tier One’s content, but also an additional 8 eBooks; Data science and machine learning can transform any organization, so unlock new opportunities & efficiently manage and improve your data science projects through the use of DevOps and ModelOps; Managing Data Science will show you how. With Hands-On Data Analysis with Pandas, you’ll combine, group, and aggregate data from multiple sources, as well as build Python scripts, modules, and packages for reusable analysis code & if Scala is where you’re looking, Hands-On Data Analysis with ScalaScala will take you into Scala's advanced techniques for solving real-world problems in data analysis.
Explore data science using Python, statistical techniques, EDA, NumPy, Pandas, Scikit Learn, and more with Practical Data Science Using Python
Opt for Tier Three and you’ll receive all 20 eBooks in this bundle. Big Data Analysis with Python will teach you how to get to grips with processing large volumes of data and presenting in engaging, interactive ways, and step up your Python data science education further with Essential PySpark for Scalable Data Analytics
Discover techniques to summarise the characteristics of your data using PyPlot, NumPy, SciPy, and Pandas with another hands-on guide book: Hands-On Exploratory Data Analysis with Python & if you’re working with Java, the Java Data Science Cookbook will help you with recipes to help you overcome your data science hurdles.
All these and much more with books available in both EPUB and PDF formats.
