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

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Latest Technology News & Expert Advice     January 07, 2019

Issue Highlights: Beyond the RDBMS: Data warehouse vs. data lake vs. data mart 5 trends driving the big data evolution Cloud buoys data microservices -- for on-premises systems, too Trifacta data prep tool helps blend disparate data sources Definition: big data

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

5 trends driving the big data evolution The speedy evolution of big data technologies is connected to five trends, including practical applications of machine learning and cheap, abundantly available compute resources. Read Now

Cloud buoys data microservices -- for on-premises systems, too Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Read Now

Trifacta data prep tool helps blend disparate data sources Handling diverse data sources usually consumes precious developer time. That led healthcare CRM company SymphonyRM to hand the data prep task to business analysts. Read Now

Definition: big data Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Read Now

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