Analytics Using Big data- Palin

Apache Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance.

Hadoop enables a computing solution that is:

• Scalable –New nodes can be added as needed, and added without needing to change data formats, how data is loaded, how jobs are written , or the applications on the top.

• Cost effective-Hadoop brings massively parallel computing to commodity servers. The result is a sizeable decrease in the cost per terabyte of storage, which in turn makes it affordable to model all your data.

• Flexible –Hadoop is schema-less, and can absorb any type of data, structured or not, from any number of sources. Data from multiple sources can be joined and aggregated in arbitrary ways enabling deeper analyses than any one system can provide.

• Fault tolerant –When you lose a node, the system redirects work to another location of the data and continues processing without missing a fright beat

Duration:

16 sessions

Fees:

Contact Institute

• Hadoop

• Certified Consultants
• Experience in statistics
• More than 5 years of industry experience
• Working with multinational brands
• Live Case study scenario