Big Data & Data Warehouse

The collection, analysis, and manipulation of extremely large data sets presents a unique set of challenges to IT departments. Big Data and Data Warehouse operations require unique ways of storing and managing data simply due to the massive volume of data and the typically limited nature of the pipes that move that data.

Tervela accelerates the Time-To-Query for Data Warehouses and Big Data applications by providing continual data ingestion. This lets the application operate with continuous data inserts as opposed to batch-style uploads. This drastically shrinks the amount of time between when data is available for storage and when it is ready for query.   

Many data warehouses are also seeing huge performance gains and complexity reduction by moving from an Extract-Transform-Load (ETL) paradigm to an Extract-Load-Transform (ELT) paradigm. Tervela's high-performance data transport capabilities let you move data between systems much faster, so that it can be transformed in-place instead of en-route.  

Tervela also provides strong data replication capabilities that, thanks to the high-performance nature of the data fabric, let data warehouses synchronize Big Data globally. This provides for more robust, more scalable Big Data applications that deliver a higher quality service to their users.