Rita Sallam
JUNE 11, 2019
This week, Cloud megavendors Google and Salesforce bought modern analytics and BI vendors Looker and Tableau, respectively, to complement their cloud data management and application stacks and to drive data and compute-intensive analytics use cases to their respective clouds. There are differences in the two acquisitions, however.
CIO Business Intelligence
MAY 15, 2023
Other sports have been quick to embrace the use of data and analytics to transform how athletes are recruited, trained, and prepped for competitions, how they adjust to changing circumstances during play, and how they break down successes and failures after competition. Still, the appetite for innovation is there.
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Sisense
MAY 12, 2019
DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. For us, as an analytical company, the word “efficiency” is what sparks our interest. And it’s called DevOps analytics. But is that really true? Of course, there should be.
datapine
DECEMBER 28, 2021
of scientists surveyed admitted to questionable research practices, including modifying results to improve outcomes, subjective data interpretation, withholding analytical details, and dropping observations because of gut feelings…. In 2007, Colgate was ordered by the Advertising Standards Authority (ASA) of the U.K. Scientists!
CIO Business Intelligence
JULY 7, 2022
Cassandra, built by Facebook in 2007, is designed as a distributed system for deployment of large numbers of nodes across multiple data centers. When it launched its streaming service in 2007, it used an Oracle database in a single data center. If your users are global, this means replicating data in geographies where they reside.
Cloudera
FEBRUARY 15, 2024
It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. Risk management and compliance: By leveraging advanced analytics techniques and providing real-time insights, modern data architecture helps financial institutions better manage risk and maintain compliance.
Octopai
JULY 9, 2020
As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. For others, it is essential to meeting crucial industry regulations.
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