MapReduce

How to Process Big Data. The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important for data scientists. The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and [...]

Analyze Data with Hadoop and MapReduce. Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.

Have you ever heard about such technologies as HDFS, MapReduce, Spark? Always wanted to learn these new tools but missed concise starting material? Don’t miss this course either!

No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. But why strain yourself? Using Mapreduce and Spark you tackle the issue partially, thus leaving some space for high-level tools. Stop struggling to [...]

Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms. Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data [...]

Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions. Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data. The goal of this course is to introduce learners [...]

Learn how the games industry can use big data to enhance the gaming experience and increase profits. Use data analysis to build better gaming experiences. The video games industry collects vast amounts of data from its users. But most of this data is disregarded despite its value to the [...]

Learn what it takes to become a data scientist. The Introduction to Data Science class will survey the foundational topics in data science, namely: Data Manipulation; Data Analysis with Statistics and Machine Learning; Data Communication with Information Visualization; Data at Scale -- Working with Big [...]