Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech, blockchain, ...

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or ...

Many organizations nowadays are struggling with finding the appropriate data stores for their data. Let’s zoom in on some key data structures to facilitate corporate decision making by means of ...

Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses. In 2011, James Dixon, then CTO of the business intelligence company ...

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 ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...