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Big Data Analytics Summer Experience 2016

 

Big Data
Big Data is transforming science, engineering, medicine, healthcare, finance, business and ultimately, society itself.

Big Data analytics represents a new era of computing, where data in any format may be processed and exploited to extract insights for industries and organizations to make informed decisions, whether that data is in-place or at-rest, in large volume, structured or unstructured.

This program will introduce several key Big Data processing and analytics technologies, teach practical skills and practices and offer hands-on experiences using Amazon Elastic MapReduce Web services, IBM Academic Initiative support and other open-source software and resources to bridge the gap between classroom learning and the real world.

This program will include various enrichment and social activities, including a visit to a local IBM branch, seminars by guest speakers and trips to nearby attractions. A certificate is issued upon completion of the program.

 

MU CS Big Data Analytics Summer Experience 2016
Course Prerequisites: Basic knowledge of Linux operating systems, programming language, and database concepts

Students majoring in computer science, computer engineering, information systems, statistics, math and related areas are encouraged to apply.
Topics include:

  • Introduction to Big Data and Big Data technologies
  • Hadoop, an open-source software framework supporting data-intensive distributed applications
  • MapReduce, a programming model for big data processing
  • Abstracting MapReduce jobs with Pig Latin, a high-level platform for creating MapReduce programs
  • Querying Big Data with Hive, a data warehousing tool on Hadoop
  • Spark, a fast and general engine for large-scale data processing
  • Mining Big Data with Spark MLlib, scalable machine learning libraries