Parallel Processing, Scaling, and Data Parallelism. Course [03]

Parallel Processing, Scaling, and Data Parallelism. Course [03] --------TEXT-------- Welcome to "Parallel Processing and Scalability for Big Data" After watching this video, you will be able to: Explain why Big Data requires parallel processing. Identify the differences between linear and parallel processing. Identify why parallel processing is apt for Big Data. Explain parallel processing and scalability. Describe the motivation for horizontal scaling. Demonstrate "embarrassingly parallel." Explain fault tolerance in parallel computing. You can do lots of things with data at various sizes, right? In any normal analytics cycle, the functionality of the computer is to store data and move that data from its storage capacity into a compute capacity (which includes memory), and back to storage once important results are computed. With Big Data, you have more data than will fit on a single computer...