A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]

A Brief History of the Data Warehouse

A Data Warehouse (DW) stores corporate information and data from operational systems and a wide range of other data resources. Data Warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of […]

In Defense of the Data Swamp

Click to learn more about author Kimberly Nevala. Like political discourse in the US, the issue of the Data Lake has been decidedly polarized. Two sides advocating for better data access and faster insight. Each taking drastically different approaches to achieve the goal. To be fair: moderates exist and are – in many cases – […]

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