Result: Spark for Python Developers

About This BookSet up real-time streaming and batch data intensive infrastructure using Spark and PythonDeliver insightful visualizations in a web app using Spark (PySpark)Inject live data using Spark Streaming with real-time eventsWho This Book Is ForThis book is for data scientists and software developers with a focus on Python who want to work with the Spark engine, and it will also benefit Enterprise architects. All you need to have is a good background in Python and an inclination to work with Spark. What You Will LearnCreate a Python development environment powered by Spark (PySpark), Blaze, and BokehBuild a real-time trend tracker data-intensive appVisualize the trends and insights gained from data using BokehGenerate insights from data using machine learning through Spark MLLIBJuggle data using BlazeCreate training data sets and train Machine Learning modelsTest machine learning models on test datasetsDeploy machine learning algorithms and models and scale them for real-time eventsIn DetailLooking for a cluster computing system that provides high-level APIs? Apache Spark is your answer―an open source, fast, and general purpose cluster computing system. Are you a Python developer inclined to work with the Spark engine? If so, this book will be your companion as you create a data-intensive app using Spark as a processing engine, Python visualization libraries, and web frameworks such as Flask. To begin with, you will learn the most effective way to install the Python development environment powered by Spark, Blaze, and Bokeh. You will then find out how to connect with data stores such as MySQL, MongoDB, Cassandra, and Hadoop. You'll expand your skills throughout, becoming familiar with the various data sources (Github, Twitter, Meetup, and blogs), their data structures, and solutions to effectively tackle complexities. By the end of the book, you will have created a real-time and insightful trend tracker data-intensive app with Spark.