Business intelligence, big data solutions, data warehousing

Earlier, supercomputers or other specialized hardware is required to process big data sets. Hadoop, which is designed to scale thousands of machines, detect and handle failures at the application layer from a single server, allows you to tackle petabytes of data and beyond on smaller budgets. Our team of global experts apply their knowledge and experience to thoroughly examine your big data challenges and help you to successfully leverage Hadoop.


  • Data consolidation strategy
  • Architectural review and design Hadoop ecosystem technology selection and implementation: Hive, Spark, Pig, Sqoop, Flume, Oozie, MapReduce, HDFS, Kafka and more
  • Hadoop distribution expertise: Apache Hadoop, Cloudera, MapR, Hortonworks
  • Integration with NoSQL and relational databases such as MongoDB, Cassandra, HBase and others such as Oracle Database, Microsoft SQL
  • Server and Oracle Exadata
  • Data ingestion design
  • Cluster installation and configuration
  • Data warehouse offload and modernization
  • Data governance conformance
  • Performance tuning and optimization
  • Data consolidation and integration
  • On-going operational support


  • Business case analysis and development
  • Architecture and platform development
  • Installation and configuration of new technologies and tools
  • Cluster capacity planning
  • Data modeling
  • Hadoop performance tuning
  • Data warehouse migration
  • Hadoop cluster upgrades
  • POC through production solution ; plan, build, deploy
  • Security requirements analysis, design, and implementation


  • Ongoing business outcomes optimizations of applications, data, and infrastructure
  • Hadoop cluster performance monitoring
  • Proactive and reactive monitoring
  • Continuous improvements and upgrades
  • Ongoing new data integration
  • Problem resolution, root-cause analysis, and corrective actions