Why Cloud Data Replication Matters
Modern applications require data, and that data usually needs to be globally available, easily accessible and served with reliable performance expectations. Today, much of the
Modern applications require data, and that data usually needs to be globally available, easily accessible and served with reliable performance expectations. Today, much of the
If you’re considering using a data integration platform to build your ETL process, you may be confused by the terms data integration vs. ETL. Here’s
A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some
In the world of constantly evolving data, one question often pops up: How is it possible to seamlessly replicate data that is growing exponentially and
Data is the fuel that drives digital business processes, but most organizations today don’t have an efficient way of managing it across all the platforms
When people dream about becoming a baker or a pastry chef, they often think about the delicious pastries they’ll create, delighting their patrons with towering
Many enterprises have a tangled data management system, comprised of an assortment of products assembled together, in an attempt to meet the complex needs of
MongoDB has long been known as a niche player in the database wars. It’s one of the leading providers in the NoSQL segment of the
Innovation is critical to the success of any organization. In the enterprise, the introduction and development of enterprise data layers are instrumental in driving innovation
How the features and benefits of data virtualization can make working with data easier and more efficient. Data lakes have become the principal data management
The Forrester report “Predictions 2018: A year of reckoning” predicted that 80% of firms affected by the GDPR will not be able to comply with
When big data is combined with machine learning, enterprises must be alert to new data quality issues. IT departments have been struggling with data quality