Big Data
To compete effectively, business users must be able to rapidly produce and present accurate, concise, and compliant information. Whether the analytic discipline is diagnostic, descriptive, predictive, or prescriptive, time-to-visualization matters. Read More
Business Intelligence (BI)
Data architects and data scientists, as well as DBAs and governance teams, may need to use or migrate data in legacy file formats and databases. Additionally, the ability to mash-up those sources with newer file and database repositories is important in data integration (ETL) and analytic projects, as well as in data profiling for data loss prevention and privacy law compliance. Read More