Participants of this course will learn the theory and practice of Big Data. Upon completion they will be able to create data-driven applications that make modern enterprise tick. This course contains an ideal mix of theory and practice, with the theory portion illustrated by hands-on examples and accomplished with industry-leading tools.
Audience: This course is intended for data scientists, IT managers, project leads and software developers.
Course Duration: 1 day
Prerequisites:
Attendees should possess basic computer literacy (Windows, Mac or Linux) and a desire to learn and ask questions. Command line skills are optional.
Hardware and Software Requirements:
There is no need to install any software on students’ machines. Working labs will be provided.
Course Outline:
- Current state of Big Data
- Big Data Tools
- Hadoop and Ecosystem
- Spark
- NoSQL
- Storm
- Search
- Data
- Cleaning and Validation
- Security
- Privacy
- Messiness
- Extracting Actionable Information
- Data Exploration
- Machine Learning
- Data Modeling and Prediction