E-Learning: Convenience of home + Rigor of a physical classroom
INSOFE e-learning programs are unique. They are taught by our world-class mentors in real time and let you learn from anywhere. They are just as rigorous as our classrooms, complete with assignments, exams and discussions. As we admit a small number of students in each batch, they are highly focused. What makes our e-learning classes even more attractive is that they are extremely affordable.
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Many of our classes are ranked among the top 1%, 5% and 10% of all classes in the world in Piazza due to active participation from the students. It is a commendable achievement given that most top universities in the world use Piazza extensively - MIT (217 classes), Harvard (117 classes), CMU (138 classes), Stanford (577 classes), U of California - Berkeley (660 classes), etc.
CSE 7304coEngineering Big Data with R and Hadoop Ecosystem Admissions are closed. For further enquiry please contact us. January 31 - March 28, 2013
Companies collect and store large amounts of data during daily transactions. This data is a combination of structured, semi-structured and unstructured data. The volume of the data being collected daily in many organizations has grown from MB (106) to TB (1012) in the past few years and is continuing to grow at an exponential pace. The very large size, lack of structure and the pace at which it is growing characterize the "Big Data" revolution.
To analyze long-term trends and patterns in the data and provide actionable intelligence to managers, this data needs to be consolidated and processed in specialized processes; those techniques form the core of this module.
The use cases for the program are "analyzing a customer in near real-time" as applied in Retail, Banking, Airlines, Telecom or Gaming industries. At the end of the program, the participants will be able to set up a Hadoop cluster and write a Map Reduce program that uses pre-built libraries to solve typical CRM data mining tasks like recommendation engines.
This course thoroughly trains candidates on the following techniques:
SQL querying (with a focus on statistical analysis)
Hadoop and Map Reduce methods of programming
Designing columnar databases
From a tools perspective, this course introduces you to Hadoop. You will learn one of the most powerful combinations of Big Data, viz., "R and Hadoop".
In addition, all the essential content required to build powerful Big Data processing applications and to acquire respected industry certifications like Cloudera's Apache Hadoop Developer certification will be covered in the course. The emphasis is not on abstract theory or on mindless coding. The emphasis is, instead, placed on learning concepts and real-world programming techniques.
Much of the current enthusiasm for big data focuses on technologies that make taming it possible, including Hadoop...and related open-source tools, cloud computing, and data visualization. While those are important breakthroughs, at least as important are the people with the skill set (and the mind-set) to put them to good use. On this front, demand has raced ahead of supply. Indeed, the shortage of data scientists is becoming a serious constraint in some sectors. Thomas H. Davenport and D. J. Patil, Harvard Business Review, October 2012