How big is big data? What does Apache Hadoop have to do with big data? In this course you will learn the basic big data concepts and terminology, and how big data isn't just about the size of data.
Big Data Analytics (Archived)
Is the thought of writing code limiting your interest to visualize and analyzing big data efficiently? If so, the Big Data Analytics learning path offers a foundation of both methods and tools to go beyond coding and equip you to achieve the results you require using Big Data.
About this learning path
Note: As of 2018-04-24, this learning path is now archived and a badge will no longer be issued for the completion of the learning path. You can still achieve certificates and badges for the individual courses, if available.
Gauges help us to determine how to address or process a concept on any given topic. It changes our interaction with the concept or item as it grows. Big Data is big, and it holds a number of possibilities for humans to learn about what we do, what we will do, and how we did it in the past, from the level of the individual to the mass.
This learning path is for those who are interested in becoming familiar with the concept of big data to answer these types of questions. This path introduces the Big Data Concept and its infinite possibilities, then it looks at using familiar spreadsheet environments to start asking questions, and then moves to introducing tools sets, specifically Apache Spark for effective and timely processing to get you the answers you need.
On-line reviews show the preference to use Scala with Spark vs Python for enterprise scale big data analytical platforms. Why is that? This question will be addressed in this course as well as many others that will guide your use of this program to address your need for speed.