Category: Type

The big increase in data, more sources of data, and the need for quick insights mean companies have to move away from slow, fixed methods of handling data. Dynamic ETL emerges as a timely solution, offering the flexibility to process…

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data.  Reverse ETL does…

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Because a database is a…

Database replication involves making sure important data is replicated across multiple locations within a company. In the advanced digital age, businesses must take all measures to safeguard their data and ensure its availability at all times. Data availability is important…

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. However, managing evolving data requirements has become more difficult with predefined data models and rigid schemas. Information marts, combined with data vaults can help…