Big Data

Piford Technologies brings you Big Data Training in Chandigarh, empowering you with an ability to derive deeper insight from the big data. The course will cover up basics and all requisite tools and techniques to analyze big data.

After this course, a candidate will be able to analyze big data further assisting entities in making strategic decisions. With the rising competition, it is necessary to use time fruitfully.

A professional with reliable analytical skills act as an asset for a company and Big Data and Hadoop training in Chandigarh provides you the equivalent opportunity by renewing your analytical skills.

The demand for Big Data is growing with time and to serve to the rising demand Piford brings Hadoop training in Chandigarh.

Keeping in mind the industry requirements, this course will provide an overview of Big Data stores such as Hadoop, Hypertable, Amazon S3, Hive, etc It is vital to keep up with emerging trends and with our platform, you can gather all the desired knowledge essential for your growth. 

Course Content:

• Module 1 : Introduction To Big Data
• The four dimensions of Big Data: volume, velocity, variety, veracity
• Introducing the Storage, MapReduce and Query Stack
• Establishing the business importance of Big Data
• Addressing the challenge of extracting useful data
• Integrating Big Data with traditional data
• Module 2 : Overview Of Big Data Stores
• Data models: key value, graph, document, column–family
• Hadoop Distributed File System
• HBase
• Hive
• Cassandra
• Hypertable
• Amazon S3
• BigTable
• DynamoDB
• MongoDB
• Redis
• Riak
• Neo4J
• Module 3 : Processing Big Data
• Integrating disparate data stores
• Employing Hadoop MapReduce
• Employing Hadoop MapReduce
• Handling streaming data
• Module 4 : Tools And Techniques To Analyze Big Data
• Abstracting Hadoop MapReduce jobs with Pig
• Performing ad hoc Big Data querying with Hive
• Creating business value from extracted data
• Module 5 : Developing A Big Data Strategy
• Establishing your Big Data needs
• Meeting business goals with timely data
• Evaluating commercial Big Data tools
• Managing organizational expectations
• Focusing on business importance
• Framing the problem
• Selecting the correct tools
• Module 6 : Implementing A Big Data Solution
• Selecting suitable vendors and hosting options
• Balancing costs against business value