Big Data

Big Data Services

In order to analyze big data, organizations need a flexible, scalable and secure platform that can capture and mine any kind of data. We bring extensive experience and in-depth knowledge of the advanced analytics value chain and deliver customized scalable models, while maintaining business structure and performance.

Our strong pool of domain experts, architects and data scientists work diligently on defining and creating business analytics solutions. These solutions help convert raw and unstructured data into actionable insights aligned with your core objectives and unique needs. We also provide best suited architectures to handle any type and frequency of data, and establish a mature analytics model.

Leveraging state-of-the-art tools and expertise in the big data ecosystem helps us drive the following advantages:

  • Facilitate advanced and predictive analytics
  • Extract powerful actionable insights
  • Build business intelligence


Here is our typical big data architecture; and we involve in building, implementing, administering and supporting all components as needed.


Big data technologies are crucial as industry demands deriving insights from large data sets. Clearstream has deep expertise in using big data technologies to solve complex data processing requirements. As little as within a week time, we can help to boot-strap your big data analytics platform by understanding business logic, sourcing various data points and providing quick insights. Within last three years, we implemented more than 100+ big data analytics platforms and we still support majority of them on day-to-day.

Supported Big Data Technologies

  • Environment | Hadoop, HDFS, MapReduce, Zookeeper
  • Log processing | Flume, Scribe, Honu, Chukwa, Splunk, Loggly
  • Data store integration | HBase, MongoDB, Cassandra, Vertica, SAP HANA, Kafka
  • Data analysis | Hive, PIG, R, Impala
  • Data Processing | Spark, Storm
  • Tools | Sqoop, Oozie, Esper, Kettle, Talend, Custom ETL scripts
  • Machine learning | Mahout, Panda
  • Search | Solr, Elasticsearch
  • Distribution | Apache, Cloudera, Hortonworks


  • We can come and help on where and how to start
  • Help to drive business to next level by making use of data
  • Identify core data points that can help immediate and long term business goals
  • Evaluate and implement the right big data platform that best fits the requirements and current technology stack


  • Evaluate existing system and gather data requirements & recommend the best big data strategy
  • Design the architecture and framework that would best fit the environment
  • Developing the right integration plan that minimizes the risk, aligns with cost and business strategy
  • Build and support complete end-to-end big data platform

Engineers, Data Scientists:

  • Provide big data engineers and data scientists on project basis, onsite or remote
  • Engineers available on full-time or part-time


  • Design, development, integration, migration & support
  • Build big data infrastructure – high performance, highly scaleable and highly redundant
  • HA and Replication
  • Define ETL process for heterogeneous sources (structured, semi-structured and unstructured data)
  • Use state of the art log management
  • Reporting integration (home grown or third party)
  • Implement open source and commercial data analytics and warehouse services
  • Implement data computational platform for analytics
  • Map-reduce jobs to work on large data sets
  • Recommender system
  • Predictive analysis
  • Data archiving and purging


  • Maintenance, administration, cluster management, 24/7 support
  • Monitoring, in-depth exposure to systems and pipeline performance
  • Performance tuning and optimization
  • Scalability, capacity planning
  • Engineering and operational training