Today enterprises generate huge volumes of data in various formats. Managing this ‘Big Data’ and extracting value out of it is a big challenge for any organization. EFS helps meet this challenge by providing expert consulting in Big Data from idea conception to solution delivery.
|Strategy||Infrastructure Management||System Integration||Big Data Analytics|
We analyze your existing systems and requirements to build business value case for adopting Big Data technology. We start off with a proof-of-concept and end with a Big Data technology strategy and roadmap to help achieve your business goals. We also help evaluate and compare various Big Data related offerings from different vendors.
We use a global delivery model to implement and support Big Data solutions tailored to your specific business and technical context. We help in maintenance and performance tuning to ensure high availability and efficiency.
We design the complete Big Data architecture based on your requirements and take care of end-to-end development, migration and testing. We help you integrate your existing operational and analytical systems to this new architecture in a cost effective manner.
Big Data Analytics
We provide consulting and implementation services for leveraging your Big Data stores to generate actionable business intelligence. Our Big Data Analytics practice includes data exploration, statistical modeling, predictive analysis, unstructured data analysis and advanced data visualization.
If you already have BI and Data Warehousing systems, we can help you customize and/or enhance them to adapt to the Big Data paradigm with minimal incremental cost and effort.
Over the years, EFS has been involved in various Big Data initiatives with our clients on technologies such as Hadoop, Hive, Pig, Sqoop, MapReduce, MongoDB, Dremel, Sawzall, R, Solver, and NOSql. Some of our key engagements include:
- Active involvement in Product Development of Analytics on Big Data
- Business Case discovery and PoC engagements
- Architecture, Design, and Development of Big Data Warehouse
- Migration from DB appliances to Hadoop Cluster
- Hadoop version upgrades from 0.20 to 0.23
- ETL usingMapReduce, Perl, Hive, Pig, Python, HBase, Oozie, and many other Big Data technologies.