BigData and Analytics

Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few this data is big data.

Big data refers to the tools, processes and procedures allowing an organization to create, manipulate and manage very large data sets and storage infrastructure. Big Data is a combination of varied technologies and complex enough for one to offer pre-defined or packaged solutions to customers. Big data holds great promise for a variety of small medium and large enterprise companies and industries.

Big data analytics tools help organizations to collect, process and analyze huge volumes of data across diverse platforms and provide with detailed reports on customer insights, competitive advantages and metrics. This will enable organizations to take informed decisions and generate complex forecasting reports for effective implementation of marketing and ROI strategies.

BigData Solutions

Hadoop development solutions:

• Implementing standard Hadoop extensions (Eg: Hbase, Hive, Pig, etc.)
• Designing and implementing Map Reduce programs using Hadoop API
• Deploying Hadoop on private or public clouds
• Designing data structures for NoSQL solutions based on Cassandra, Mongo DB and Couch DB
• Migrating data from RDBMS to NoSQL
• Debug monitor and optimize Hadoop solutions

Hadoop Administration:

• Installation and configuration of Hadoop clusters following best practices
• Configuration file management
• HDFS: Loading and processing of data with CLI and API
• Monitoring and optimizing Hadoop clusters.
• Recovery from NameNode failure
• DataNode failure handling
• Adding new nodes
• Upgrading and removing nodes
• Changing configuration
• Rebalancing Hadoop clusters
• Log file management

Analytics Solutions:

• Extract, Transform and Load (ETL) very large data sets of data (using Informatica, Pentaho etc.)
• Cleansing very large data sets
• Designing and implementing analytic routines
• Creating reports and dashboards (using Microstrategy, Cognos and Pentaho etc.)
• Implementing data archival & restoration strategies for very large data sets

NoSQL database Solutions

Vensar designs NoSQL databases that are agile, distributed and high in performance with fault tolerant architecture. We have expert Big data/Hadoop architects and developers who are experts in designing databases based on NoSQL to meet the demand for designing today’s highly elastic, scalable social and cloud-based applications.

We design databases that are inherently flexible (schema-free with no complexity) and consistent (complying to BASE rather than ACID) with simple API, serve huge amounts of data with high throughput.

Selecting and implementing the right Big Database can make the difference between success and failure. Our consultants are experts in NoSQL implementations and bring their consultative experience to your problem. We provide expert consulting in:

Our NoSQL solutions:

• Cassandra database solutions
• MongoDB database solutions
• CouchDB database solutions
• HBase database solutions
• Migrating data from RDBMS to NSQL

Big data Technologies

Avro^™: A data serialization system.
Cassandra^™: A scalable multi-master database with no single points of failure.
Chukwa^™: A data collection system for managing large distributed systems.
HBase^™: A scalable, distributed database that supports structured data storage for large tables.
Hive^™: A data warehouse infrastructure that provides data summarization and adhoc querying.
Mahout^™: A Scalable machine learning and data mining library.
Pig^™: A high-level data-flow language and execution framework for parallel computation.
ZooKeeper^™: A high-performance coordination service for distributed applications.