Description: Big Data requires a holistic approach and a change to regular working practices. This course covers the way teams work in Big Data organizations, some projects and use cases for Big Data, and challenges and opportunities that Big Data presents.
Target Audience: IT engineers, programmers, and DBAs working with or interested in Big Data, as well as business decision makers interested in implementing or managing Big Data systems
Duration: 01:50
Description: A number of tools are available for working with Big Data. Many of the tools are open source and Linux distribution based. This course covers the fundamentals of Big Data, including positioning it in a historical IT context, the tools available for working with Big Data, the Big Data stack, and finally, an in-depth look at Apache Hadoop.
Target Audience: IT engineers, programmers, and DBAs working with or interested in Big Data, as well as business decision makers interested in implementing or managing Big Data systems
Duration: 01:48