Smart Data Collective
JANUARY 26, 2021
Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?
Data Pine
APRIL 14, 2022
When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.
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Astera
DECEMBER 16, 2022
We have been recognized for implementing, maintaining, and operating an Information Security Management System that complies with the requirements of the standard ISO/IEC 27001:2013. We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack.
Astera
NOVEMBER 30, 2023
With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0
Data Pine
MAY 14, 2019
“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. In 2013, less than 0.5%
Smart Data Collective
APRIL 10, 2019
Then they will start culling the data from multiple sources to produce a clear picture of that person’s vulnerabilities. Target experienced one of the largest attacks in the history of retail America on or before Black Friday of 2013. The thieves installed data-stealing code onto card-swipe machines at every store.
GAVS Technology
SEPTEMBER 8, 2021
The need of the hour is to not only make all this data available for use but to also put in place advanced systems and infrastructure that can fulfill rising data management and analysis needs. So, what’s exactly behind the data overflow that we are seeing in the healthcare industry today?
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