Big Data Analytics Using Spark - COURSES VISION

COURSES VISION

Big Data Analytics Using Spark

About Course

  • In data science, data is called "big" if it cannot fit into the memory of a single standard laptop or workstation.
  • The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark.
  • In this course, part of the Data Science MicroMasters program, you will learn what the bottlenecks are in massive parallel computation and how to use spark to minimize these bottlenecks.
Requirements  

Python for Data Science Probability and Statistics in Data Science using Python Machine Learning Fundamentals

What Will I Learn?

  • Identifying the computational tradeoffs in Spark application.
Free

Material Includes

  • Self-paced learning
  • Video tutorials
  • Recognised certification

Course Detail

  • Modules : 6
  • Hours : 8-10 hours/week
  • Level : Advanced
  • Price : Free

Platform : Edx

Scroll to Top