The AM-BITS team of certified Big Data engineers ensure the end-to-end development, building and implementation cycle of solutions based on Apache Hadoop.
Collected business data must provide enterprises with additional competitive advantages via better interaction with customers, faster response times to events, improved forecasting, etc. However, traditional data storage systems just fail to process large-scale volumes of repository data, and timely respond to online data streams.
Our innovative Big Data solutions allow to solve any business tasks of managing large enterprise data in the most effective and cost-efficient way, thus providing a number of advantageous features:
Challenge:
A cost-effective solution providing scalable storage capacity for enterprise Big Data sets.
Solution:
To transfer rarely used data and part of ETL processes to Hadoop. Also, to utilize data virtualization to build a data mart for BI.
Result:
An increase in ROI of 200% and 500% for levels 1 and 2, respectively. Cost reduction of up to 75% on data organization and provision for further analytics.
Challenge:
Creation of a multifunctional center for aggregation, processing and presentation of data along with secured real-time exchange of enterprise data.
Solution:
The structure of functional components:
Result:
Scalable architecture built on Apache Kafka for real-time data exchange, 24/7. The number of processed events is about 2-3 million per day, and up to 200 events per second. Optimization of data governance, with regard to data quality and security.
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