Big Data

Today's business organizations are collecting vast amounts of data - varying in structure, complexity and size. However, one thing all these organizations are discovering is that a wealth of strategic value that lies in this data is difficult to extract using traditional relational database management tools. Besides strong technical competency, using big data tools requires a fundamental shift in how organizations view their data, its structure, usage scenarios and the roles & responsibilities of the IT and user organizations.

Our Big Data practice assists our clients in both strategic upstream activities such as evaluating and developing big data road-map to implementation and support of large environments.

Below are some of the technologies our Big Data practice works with:
Programming Languages Java, Python, JavaScript (client-side as well as NodeJS)
Distributed File Systems Apache Hadoop HDFS, Tachyon,
Key/Value Data Stores Apache Accumulo, BerkleyDB, MemcachedDB, Redis, Amazon DynamoDB
Column-oriented Data Stores Apache Hive, Apache Hbase, Apache Cassandra, Amazon Redshift
Document-oriented Data Stores MongoDB, CouchDB, Riak, RethinkDB
Graph-oriented Data Stores Apache Giraph, Neo4J, Blueprints, OrientDB, GraphX
Relational Data Stores Oracle, MySQL, PostgreSQL, MariaDB, Greenplum, Teradata, BlinkDB, Shark
Search Platforms Apache Solr, Elastic Search, GSA
Text Processing Apache Tika, Apache Mahout, Apache Stanbol
In-memory/Realtime Processing Apache Spark, Apache Spark Streaming, Apache Storm
Statistics, Visualization Gnuplot, VizQL (Tableau), D3JS, Leaflet (maps)
Cloud Platforms Amazon AWS, OpenStack

Our Advisory Services include:

  • Identifying/defining Big Data business/project initiatives
  • Developing a Big Data implementation road-map
  • Creating proof of concepts, white papers, technology / tool evaluation services
  • Providing a road-map to help clients choose appropriate technologies / frameworks / tools
  • Implementing best-practices and industry standards
  • Implementing new tools, technologies to provide innovative solutions

Our Execution Services include:

  • Planning, design and implementation of a Hadoop and other Big Data environments
  • Developing/enhancing Java or C++ or LAMP based applications on existing or new Hadoop implementations
  • Troubleshooting/performance optimization of existing Hadoop implementations
  • Data quality management and data harmonization projects
  • Testing/QA of big data applications, automation of data validations and regression test scenarios
  • Documentation, programmer trainings, reverse-engineering, upgrade, maintenance, migration and other steady-state services
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