GBA 6430 Big Data Technology in Business

Combine the power of Apache Spark and Python to build effective big data applications. For Python developers looking for hands-on recipes for using the Apache Spark 2.x ecosystem. A thorough understanding of Python (and some familiarity with Spark) will help you get the best out of the book.

This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts, while gaining practical experience with common data engineering services on AWS, will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book, but it's not a prerequisite.

Get a 360-degree view into the world of Big Data, data science and machine learning. Get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and learn how to write R code for neural networks. For existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.