Hadoop 2 Development with Spark

Hadoop is the next generation technology that is here today. It has still not stopped amazing people with its power and potential. Simply put, it is the technology behind all the modern day social sites like facebook, linked-in, twitter etc. With Hadoop's ability to process structured and unstructured data, it is set to change the IT world in a big way that data is processed. Hadoop COE are being created across all IT companies in India to meet the challenge of trained resources in HADOOP who are next to impossible to find. Jobs in Hadoop are numerous considering that there are very few trained resources in Hadoop currently. After successful completion of Hadoop 2 Development Course , the student can apply for Cloudera Certified Associate(CCA) Spark and Hadoop Developer Certification.

Hadoop Class

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Hadoop Analytics course syllabus Hadoop Administration course syllabus

Hadoop 2 Development with Spark SyllabusDownload PDF

Course Duration For Hadoop 2 Development with Spark:
8 Weekends (Weekend batches only)
Objective For Hadoop 2 Development with Spark:
To become a complete Hadoop Development Professional
Eligibility For Hadoop 2 Development with Spark Course:
BSc, BCS, BCA, BE, B.Tech, MSc, MCS, MCA, M.Tech
Knowledge of Core Java
Hadoop 2 Development with Spark

Hadoop Ecosystems

Project name: Analysis Report on Product Sales data using HADOOP
Project description: Product analysis using HADOOP will provide an efficient way of analyzing data using HDFS and Map Reduce fundamentals. The data can be utilized in several analysis. HADOOP allows user to process large amount of such data. There could be several complex use cases which can easily answered by PIG and HIVE and other eco-systems.