A Five Day Workshop Big Data Ecosystem on Real- world

A Report on Five Day Workshop Big Data Ecosystem on Real- world

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A Five Day Workshop Big Data Ecosystem on Real- world

 

A Five-day workshop on Big Data Ecosystem on Real- world was organized by the Department of CSE, from 21st to 25th January 2019 in collaboration with CSI. The resource person Mr.M.Sasidhar explained various concepts of Big Data Ecosystem related aspects right from the fundamentals for IV year II Semester B.Tech CSE students.

The Principal, Prof. Dr. G.Subba Rao, in the inaugural address referred to the huge demand for the Big Data Engineers in the related fields of Computers. The head of the Department of CSE, Dr.Y.Jahnavi, Ms.V.Gayatri, Associate. Professor and faculty members of CSE also took part in the workshop actively.

The workshop started with a presentation on Big Data and its related fields, where opportunities are abundant in the industry. The workshop resource person initially focused on Big Data for Engineering and Science Applications. The students got a chance to learn in depth about programming methodologies, debugging techniques and code dumping processes, thoroughly. Meanwhile the queries raised by the students were also answered in an efficient way in all the sessions by the resource persons.

The workshop participants were able to successfully code and run their programs dynamically on hardware with ease after the completion of the main sessions of the first module. In-detail demonstrations were given on various Applications and techniques. The workshop turned out to be a major successful event, imparting lot of knowledge about Big Data and how to work with various Science Applications.

The Outcome of Big Data workshop

  • Introduction to Big Data
  • Introduction to Enabling Technologies for Big Data
  • Introduction to Big Data Platforms
  • Introduction to Big Data Storage Platforms for Large Scale Data Storage
  • Introduction to Big Data Streaming Platforms for Fast Data
  • Introduction to Big Data Applications (Machine Learning)
  • Introduction of Big data Machine learning with Spark
  • Introduction to Big Data Applications (Graph Processing)