Processing, transforming, and delivering data to various destinations for analysis, reporting, and decision-making purposes is crucial for organizations that collect and generate vast amounts of data. Data pipelines play a significant role in enabling a smooth and efficient flow of data throughout an organization’s systems.   In simple terms, a data pipeline is a series of...

Data lakehouses are designed to store, manage, and analyze vast amounts of data from various sources in a unified way. However, despite their increasing prevalence, some misconceptions about data lakehouses still exist. In this article, we’ll explore the most common myths and misconceptions surrounding data lakehouses, and shed light on the realities of these platforms.  ...

The volume and variety of data collected by organizations are growing at an unprecedented rate. A 2019 survey by Matillion and IDG found that enterprises generate data from an average of 400 sources, with 20 percent of the respondents collecting data from more than 1,000 sources. With the rise in Industry 4.0 technologies, manufacturers create...

Data repositories are the key foundational components of an organization’s data infrastructure. A data repository is a collection of large databases that collect, store, and manage enterprise data in raw and/or processed formats, and make it available for further analysis. Options such as data marts, data warehouses, data lakes, and data lakehouses are available for...