Beyond the RDBMS: Data warehouse vs. data lake vs. data mart

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Latest Technology News & Expert Advice     January 28, 2019

Issue Highlights: Beyond the RDBMS: Data warehouse vs. data lake vs. data mart Definition: data warehouse 3 ways to prep microservices applications for big data New Teradata CEO pursues cloud-based architecture What tools help with microservices Salesforce development?

Beyond the RDBMS: Data warehouse vs. data lake vs. data mart There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Read Now

Definition: data warehouse A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Read Now

3 ways to prep microservices applications for big data It's easy for the expansion of big data to spin out of control in a distributed architecture. Think carefully about database management to avoid performance-killing bottlenecks. Read Now

New Teradata CEO pursues cloud-based architecture Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A. Read Now

What tools help with microservices Salesforce development? It's not always easy to develop Salesforce apps with microservices. Developers and admins should evaluate CI/CD tools that support microservices development in the Salesforce world. Read Now

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