Solutions for large data storage, processing, and analytics as well as predictive analytics Traditional SQL and DWH structures do have advantages and limitations. The limitations to process massive amounts of data in real time made us move on to distributed no-SQL databases and scalable,fault-tolerant cluster solutions in the big data area. We have experience in creating real-time solutions that can source and deliver data at scale. Big Data in the Hadoop world usually involves a huge technology stack with a large number of technologies, each designed for a specific purpose. We can guide you to pick the right tools to meet your business requirements and integrate this world with your existing DWH environment, independent if your solution runs in your local data center or at some cloud provider like AWS. The Concept of the Data Lake is currently extending the traditional data warehouse solution.
- Hadoop
- Spark
- Mongo DB
- ElasticSearch
