Services

Development Solutions on HADOOP Framework :

We offer the entire life-cycle solutions in the HADOOP framework – including implementation of standard extensions (using programming models like Hive, Pig, HBase, etc.), Map Reduce programs using the Hadoop API’s, deployment of Hadoop on any network, and debugging, monitoring and optimization of Hadoop solutions.

Database Design and Migration :

Any Big Data solution is as good as its Big Database. Our consultants are specifically trained in designing data structures for NoSQL solutions based on Big Databases like MongoDB, CouchDB and Cassandra. They bring their consultative expertise in NoSQL implementation and data migration from RDBMS to NoSQL.

HADOOP Administration :

We bring in best practices and methodologies for HADOOP Administration support in various fields like – Installation, Configuration and change management of Clusters, configuring File Management, HDFS: Loading and processing of Big Data with CLI’s/API’s, monitoring, optimizing and rebalancing of HADOOP Clusters, failure management and recovery, Log File management, etc.

Analytics Solutions :

In the solutions space, our expertise lies in –

• Identifying, Extracting, Transforming and Loading huge sets of data (using products like Informatica);
• Sifting through and cleansing these huge data sets;
• Conceptualizing, Designing and implementing complex analytical routines based on business requirements.
• Generating reports and creating Dashboards (using tools like Microstrategy, Cognos, etc.)
• Implementing Data Archival and Restoration strategies for huge data sets

Machine Learning Solutions :

Given its sheer scale, Machine Learning forms the next wave of innovations in the Big Data domain. Our experts provide consulting expertise on Apache Mahout in the HADOOP framework, implementing well known machine learning and data mining algorithms using MapReduce framework, including Recommender Engines, Clustering and Classifications.

Our services cover Algorithm Design, Evolution and Implementations alongside feasibility analysis to determine if your enterprise requirement and data streams form a cohesive platform for automated machine learning on HADOOP.