Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...

Nowadays, organizations need to migrate and move data from the Oracle database to various data lakes, such as Microsoft Fabric and Snowflake. These data lakes are used in data analytics and by data ...

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

Responding to the increasing size of data analysis projects, but also to its customers desire to trim their budgets on cloud spend, Microsoft on Tuesday unveiled Fabric, what it bills as an "an end-to ...

Data warehouses have been at the center of data analytics systems as far back as the 1980s. Today cloud-based data warehouse services offered by the likes of AWS, Snowflake and Google Cloud have ...