In a highly competitive environment, making smarter decisions faster dramatically impacts both the top and bottom lines. According to Forrester, advanced insights-driven businesses (IDBs) — firms that use data,... Read more »
Machine learning has become an integral part of organizations looking to do everything from improve customer experience to make product recommendations to target advertisements. The machine learning (ML) pipeline... Read more »
Data governance is essential for all businesses, but especially for enterprise companies with their petabytes of data. Properly governing your data can ensure it is accurate, consistent, and secure.... Read more »
In the simplest terms, schema is the structure of data inside a database. The structure of data can include things like field and table names, views, indexes, and snapshots.... Read more »
Data governance refers to the policies and procedures governing how data is created, processed, and distributed. It’s used throughout the data lifecycle to ensure organizations have access to trustworthy... Read more »
Data federation and data virtualization are so similar that the terms are often used interchangeably. And in practice, you’re unlikely to run into trouble if you conflate them. Even... Read more »
Exploding data growth has led to a search for a robust, scalable, high performance data solution that can accommodate growing data demand. There are many solutions available, but the... Read more »
The primary goal of machine learning (ML) is to perform a task more efficiently using models, which only becomes possible if the ML models are available for end users.... Read more »
The data lakehouse is a relatively recent evolution of data lakes and data warehouses. Amazon was one of the first to use a lakehouse as service. In 2019, they... Read more »
Python and SQL are the two most common programming languages crucial in the day-to-day work of data engineers and scientists. So for anyone looking to delve into data, choosing... Read more »
