Have you ever wondered who's accountable if your data warehouse starts draining your budget? Can you monitor usage and identify the sources of costs?
Data protection and privacy have become focal points of discussion as individuals grow increasingly mindful and worried about the lifespan of their personal data across various services. Regulated by...
Lean development and Total Quality Management are two key principles that are essential to achieving success in DataOps. But how do they work together? And how do they apply to data development?...
When it comes to building a successful DataOps team, one of the crucial factors to consider is the tools and technology used. But with a plethora of options available, how do you decide which tools...
There are multiple ways to be agile, but they all have common values and principles. However, the basic idea for agile development is to do the development incrementally in small iterations, deliver...
DataOps is a development methodology that combines processes and tools in order to continuously provide quality data products and analytics in time and with predictable costs. In this blog post, we...