Our future is here and it relies on data. Medical robots, smart homes and cities, predictive policing, artificial intelligences – all are fuelled by data and all promise new benefits to society. But will these innovations benefit everyone? Who stands to gain and who is put at risk? How can we ensure that data is part of a just and sustainable world?

Hortonworks is the top Big Data Platforms that is 100% opensource built for the Big Data community. This course is going to focus on the Enterprise Skills needed for Data Engineers to build and support critical application in the Hadoop Ecosystem.

Whether you are a student, basic scientist, researcher, clinician, or librarian, this course is designed to help you understand, analyze, and interpret biomedical big data.

Discover the immense value of Kafka as a messaging platform, trusted by global giants. Gain insights on configuring it for high throughputs without sacrificing ordering guarantee.

Search is one of the most misunderstood functionalities in the IT industry. Apache Solr brings high quality Enterprise Search to the masses.

As the data you store expands in size, traditional relational databases may no longer work. HBase has the ability to deal with billions of rows of data and each record can contains millions of fields. This course will help you get started with HBase.

Learning to work with Hadoop Distributed File System (HDFS) is a baseline skill for anyone administering or developing in the Hadoop ecosystem. In this course, you will learn how to work with HDFS, Hive, Pig, Sqoop and HBase from the command line.

Traditional databases focus on transactional processing, whereas Hive helps with analytical processing extracted from huge datasets. This course focuses on the similarities and differences between SQL and Hive.

The Spark Streaming module lets you to work with large scale streaming data using familiar batch processing abstractions. This course starts with how standard transformations and operations are performed on streams, and moves to more advanced topics.

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.

This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud.

This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.