Accessing Hadoop Data Using Hive

Hive is a data warehousing tool built on top of Hadoop. Learn how to easily query and analyze your Big Data projects with this free Apache Hive course.

Exploring Spark's GraphX

Spark provides a graph-parallel computation library in GraphX. Graph-parallel is a paradigm that allows representation of your data as vertices and edges. Spark's GraphX provides a set of fundamental operators in addition to a growing collection of algorithms and builders to simplify graph analytics tasks.

Spark Fundamentals I

Ignite your interest in Spark with an introduction to the core concepts that make this general processor an essential tool set for working with Big Data.

Spark MLlIB

Spark provides a machine learning library known as MLlib. MLlib provides various machine learning algorithms such as classification, regression, clustering, and collaborative filtering. It also provides tools such as featurization, pipelines, persistence, and utilities for handing linear algebra operations, statistics and data handling.

Using HBase for Real-time Access to your Big Data

This course introduces you to HBase, the open source Hadoop database used for random, real-time read/writes to your Big Data. The course will cover fundamental concepts of HBase such as HBase system and architecture, the use of the Client API to perform data operations on HBase, the various HBase client used to communicate with HBase, how to integrate HBase with a MapReduce job, and more!