Microsoft’s Azure Data Share: How to use this big data tool Your email has been sent We live in a world of big data, with multi-terabyte databases and data warehouses with billions of lines of records ...
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For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...
MOUNTAIN VIEW, Calif., Nov. 19 — Qubole, a leading provider of Big Data in the cloud, is pleased to announce that Microsoft Azure customers can now leverage the Qubole Data Service (QDS) to ...
Perhaps the headliner is Azure Synapse Analytics, a service now in preview that leverages on-demand or provisioned resources to ingest, prepare, manage, and serve data for business intelligence and AI ...
Attunity, a provider of data integration and big data management software solutions, has announced two new solutions: Attunity for Data Lakes on Microsoft Azure, designed to automate streaming data ...
Today’s “big data stack” includes databases, data management software and data analytics tools – all critical components of an effective operational or analytical data system. But all those ...
Many were wondering whether Microsoft would somehow adopt the CDP runtime, or if it would perhaps go its own way, and build its own Hadoop distro, as AWS and Google did from the get-go. The latter has ...
Microsoft updated its Visual Studio Code extension for working with the Azure Data Lake for Big Data analytics in the cloud, furthering integration of the extension's data exploration tool among other ...
One of the big issues facing anyone building a data-driven devops practice is, quite simply, the scale of the data you’re collecting. Logs from millions of users quickly add up, and the same is true ...
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What is big data and what does it mean for your small business?
Small businesses must make sense of the large amount of information they receive. Here’s how to understand big data so you ...
Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...
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