VKV TECHNOLOGIES BEST BIG DATA TRAINING IN CHENNAI
Introduction to Big Data
Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications.
The challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to “spot business trends, prevent diseases, combat crime and so on.
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
Selecting Big Data stores
- Choosing the correct data stores based on your data characteristics
- Moving code to data
- Implementing polyglot data store solutions
- Aligning business goals to the appropriate data store
Processing Big Data
Integrating disparate data stores
- Mapping data to the programming framework
- Connecting and extracting data from storage
- Transforming data for processing
- Subdividing data in preparation for Hadoop MapReduce
Employing Hadoop MapReduce
- Creating the components of Hadoop MapReduce jobs
- Distributing data processing across server farms
- Executing Hadoop MapReduce jobs
- Monitoring the progress of job flows
The building blocks of Hadoop MapReduce
- Distinguishing Hadoop daemons
- Investigating the Hadoop Distributed File System
- Selecting appropriate execution modes: local, pseudo-distributed and fully distributed
Handling streaming data
- Comparing real-time processing modelsLeveraging Storm to extract live events
- Lightning-fast processing with Spark and Shark
Abstracting Hadoop MapReduce jobs with Pig
- Communicating with Hadoop in Pig Latin
- Executing commands using the Grunt Shell
- Streamlining high-level processing
Performing ad hoc Big Data querying with Hive
- Persisting data in the Hive MegaStore
- Performing queries with HiveQL
- Investigating Hive file formats
Creating business value from extracted data
- Mining data with Mahout
- Visualizing processed results with reporting tools
- Querying in real time with Impala
Developing a Big Data Strategy
Defining a Big Data strategy for your organization
- Establishing your Big Data needs
- Meeting business goals with timely data
- Evaluating commercial Big Data tools
- Managing organizational expectations
Enabling analytic innovation
- Focusing on business importance
- Framing the problem
- Selecting the correct tools
- Achieving timely results
Implementing a Big Data Solution
- Selecting suitable vendors and hosting options
- Balancing costs against business value
- Keeping ahead of the curve
Course Features & Benefits:-
- Experienced Corporate Trainer
- Additional Practice sessions
- Learning day to day operations.
- Lowest Fee
- Full Course covering every advanced topic
- Individual attention
VKV Training Benefits
- Training by Real Time Professionals
- Project Oriented Training
- Running Notes
- Flexible Timings
- Excellent Lab Facility
- Small Training Batch
- Certification Support
Our course content is designed in such a way that it is suitable to the beginners as well as the professionals who would like to update themselves with the new technologies. Our trainers will provide you the hands on experience on the real time projects.
