New Banner :) TEST UPDATE Learn more →
7 Courses
4.6 out of 5
Beginner
Tell Your Friends!
Saved this page to your clipboard!
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!
Introduction to Software Engineering
Learn the fundamentals of software engineering in this introductory course, designed for aspiring software engineers and those in related fields. Get a first-hand feel for the job from expert and novice software engineers and explore the power of the SDLC.
SQL Access for Hadoop
Big SQL is another tool to work with your Hadoop data. Big SQL provides a common and familiar syntax for those that are already using SQL with their relational data to work with their big data. There is no learning curve here. Big SQL is about applying SQL to your existing data – there are no proprietary storage formats. This course will help you understand the Big SQL architecture and show the different methods for working with Big SQL. The course will list and explain the Big SQL data types and show how to create Big SQL schemas and table. The course will also cover the different file formats supported by Big SQL such as parquet and ORC. In the lab exercises, you will get a chance to learn how to connect to the Big SQL server and load in some sample data. Then you will see how easy it is to use Big SQL to work with the data.
Get latest insights, courses, and trends in AI and cognitive computing by joining our newsletter. Be the first to know about new learning opportunities, expert articles, and exclusive content.
