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.

Topics Covered

Introduction to Big Data & Applications The Hadoop Eco-system Parallel architectures and concurrent algorithms Distributed File Systems, GFS & HDFS HDFS (continued), CDH4 HDFS Map Reduce Map Reduce (continued) Map Reduce (continued), YARN, Hadoop Streaming Sqoop, Hive R-Hadoop NoSQL databases including HBase PIG, Oozie Machine Learning on Hadoop - Mahout Text Search Application on Hadoop Other ecosystem components Text Classification, text clustering Graph processing & Applications including SSSP PageRank, BSP, Hama Pregel, Giraph, Social Network Mining Certification & Wrap up

Who should attend

Working professionals, managers and recent graduates are eligible for the program. We do not specify any academic background requirements.

Pre-requisites

Elementary programming skills.

What you need to bring

Laptop"

Key Takeaways

SQL querying (with a focus on statistical analysis) Hadoop and Map Reduce methods of programming Designing columnar databases