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How a Modern Data Engineering Stack Can Help Create a Data-Driven Culture

Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. However, access to the data and data processing tools remains restricted to the selected few technical users or upper management echelons. Data-driven culture cannot exist without the democratization of the data. Data democratization certainly does not mean unrestricted access to all […]

When to Use iPaaS vs. ETL

Click to learn more about author Paul Varley. With more applications around, usually from different vendors, the need for data integration has never been greater. New integration approaches have emerged, and today they coexist with other integration forms that have been around for years. Today we will compare an on-premise ETL tool with an Integration Platform […]

ETL Tools, Big Data, and Self-Service Data Preparation

by Angela Guess Andrew Brust recently wrote in Data Informed, “With the shift to the client-server architecture in the mid-90s, databases became more centralized and the procedures for interacting with them became more formal. In response, a new category of tooling emerged under the moniker of ETL – extract, transform, and load. ETL tools allowed […]