Keyword Analysis & Research: data platforms
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What Is A Data Platform? And How To Build An Awesome One
https://www.montecarlodata.com/blog-what-is-a-data-platform-and-how-to-build-one/
WEBAug 19, 2023 · A data platform is a central repository and processing house for all of an organization’s data. A data platform handles the collection, cleansing, transformation, and application of data to generate business insights. Data-first companies have embraced data platforms as an effective way to aggregate, operationalize, and democratize data at ...
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What Is a Modern Data Platform? | IBM
https://www.ibm.com/topics/modern-data-platform
WEBA modern data platform builds trust in this data by ingesting, storing, processing and transforming it in a way that ensures accurate and timely information, reduces data silos, enables self-service and improves data quality. A modern data platform, also referred to as a modern data stack, is composed of five critical foundation layers: data ...
DA: 52 PA: 100 MOZ Rank: 80
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What Is A Data Platform? | MongoDB
https://www.mongodb.com/what-is-a-data-platform
WEBA data platform is an integrated set of technologies that collectively meet an organization's end-to-end data needs. It enables the acquisition, storage, preparation, delivery, and governance of your data, as well as a security layer for users and applications. A data platform is key to unlocking the value of your data.
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What Is a Data Platform? Examples of Big Data Platforms
https://builtin.com/articles/big-data-platform
WEBFeb 26, 2024 · Using enterprise data platforms not only provides a strong business advantage, but is almost paramount for keeping up with consumers, competing brands and ever-changing trends. Features of Big Data Platforms. What makes big data platforms ideal to handle sizeable sets of data is the technology’s inherent flexible features.
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What is a Data Platform? | Snowflake
https://www.snowflake.com/trending/data-platforms
WEBData platforms include data storage, servers and data architecture. Beyond that, there's data ingestion needs, data consolidation and the ETL process. Businesses regularly face challenges with data management, including the unification of disparate data types housed in various silos, data lakes and on-premise servers.
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