Big Data Fundamentals

This course is a survey of big data the landscape, the technology behind it, business drivers, and strategic possibilities. “Big data” is a hot buzzword, but most organizations are struggling to put it to practical use.

Without assuming any prior knowledge of Apache Hadoop or big data management, this course teaches a wide range of professional roles how to tap into and manage the potential benefits of big data, including:

• Discovering customer insights buried in your existing data

• Uncovering product opportunities from data insights

• Pinpointing decision points and criteria

• Scaling your existing workflows and operations

• Learning to ask questions that drive tangible business value from Big Data tools

What You Will Learn:

• Navigate the technology stacks and tools used to work with big data

• Establish a common vocabulary on your teams for applying big data practices

• Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME

• Design both functional and non-functional requirements for working with big data

• Understand common business cases for big data

• Differentiate between hype and what’s truly possible

• Look at examples of real-world big data use cases

• Select initiatives and projects that have high potential to benefit from big data applications

• Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data