Data Warehouse, Data Lake, Data Hub or a Data Platform? Growth of the amount of data, data sources and analysis possibilities ensure that there are also multiple possibilities for storing and processing data. All kinds of concepts are on the table - such as Data Lake, Data Hub, Data Warehouse and Data Platform. A Gartner study has shown that demand for Data Hubs increased by 20% between 2018 and 2019.
Interestingly, Gartner noted that more than 25% of customers thought that a Data Hub was a Data Lake solution[1]. Gartner's research illustrates how much confusion there is about what the different concepts entail. In practice, we also notice that there is a great deal of ambiguity; so how do the concepts differ from each other? This blog provides more clarity on the meaning of these terms.............>>read more>>
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See for yourself why 3,200+ customers from 95 countries trust TimeXtender to accelerate time to insights by up to 10x. TimeXtender is everything you need to connect to various data silos, catalog, model, move, and document data for analytics and AI.
More than 3,200 organizations worldwide have chosen to use TimeXtender as a solution for their Data Warehouse Management. They are spread over 95 countries and are provided with consultancy by more than 170 partners.
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TimeXtender is a low code/no code data management platform from the next generation of data architecture, simplifying and automating the implementation and operation of the entire data infrastructure in a fast and agile way.
Eliminate numerous stitched-together tools and worries over data preparation, without bothering with long, manual development cycles based on complex architectural designs.
