Big Data Management

Big data management is a multi-step process that includes the storage, organization, and governance of raw and structured data. We at TriTns provide expertise in big data pipeline management. This is a layered process that addresses data storage, data absorption, and data quality maintenance.  Data management begins with data warehousing, which involves storing large amounts of historical data from multiple sources in a common space. This step involves data integration, data cleansing, and data consolidation. Having a data warehouse improves the efficiency of the business analytics mechanisms since data becomes easily accessible and is completely accounted for. 

A data warehouse is constantly changing as new data is added and irrelevant data is removed from the system. A seamless data ingestion mechanism must be in place to ensure a smooth absorption of new data.