Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Spark Framework and become a Spark Developer. Apache’s Hadoop is a leading Big Data platform used by IT giants Yahoo, Facebook & Google. This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Python has a … In this blog, we'll discuss Big Data, as it's the most widely used technology these days in almost every business vertical. Prerequisites Examples might be simplified to improve reading and learning. Audience. This course is geared to make a H Big Data Hadoop Tutorial for Beginners: Learn in 7 Days! Hive is a data warehouse infrastructure tool to process structured data in Hadoop. This is a brief tutorial that provides an introduction on how to use Apache Hive HiveQL with Hadoop Distributed File System. Various sources and our day to day activities generates lots of data. Why Python? It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. Python can be used for rapid prototyping, or for production-ready software development. Examples might be simplified to improve reading and learning. This tutorial has been prepared for software professionals aspiring to learn the basics of Big Data Analytics. This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System. The quantity of data on planet earth is growing exponentially for many reasons. This is a brief tutorial that explains the basics of Spark Core programming. Through this blog on Big Data Tutorial, let us explore the sources of Big Data, which the traditional systems are failing to store and process. Professionals who are into analytics in general may as well use this tutorial … Audience. Big-O Notation and Algorithm Analysis - In this chapter you will learn about the different algorithmic approaches that are usually followed while programming or designing an algorithm. The