Infinidat
DECEMBER 9, 2020
De-Risking Enterprise Storage Upgrades (Part 1). Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. During the life cycle of an enterprise storage platform, administrators will likely upgrade that platform a number of times. controllers, storage devices, etc.).
Infinidat
DECEMBER 9, 2020
De-Risking Enterprise Storage Upgrades (Part 1). Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. During the life cycle of an enterprise storage platform, administrators will likely upgrade that platform a number of times. controllers, storage devices, etc.).
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Cloudera
MARCH 22, 2023
Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures.
Infinidat
JANUARY 12, 2021
Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. This raises an interesting question: why do enterprise storage customers stay in vendor relationships that don't seem to meet their needs?
Zensar
FEBRUARY 18, 2020
Most of the time data and analytics is discussed only at the surface level in the form of great visualizations that meets business needs and attributes such as self-service, easy to use/learn are often associated with it. Data storage requirements in terms of data warehouse or data lakes or operational data store. Data Management.
CIO
MARCH 9, 2022
Meet the data lakehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. If only there were a best-of-both-worlds compromise. . Pulling it all together.
Brainvire
OCTOBER 22, 2018
On February 8, 2010, an open-source search engine called Elastic Search was released to meet this need. The current architecture, based on SQL, was creating a hindrance to find patients based on certain criteria, and also took far more time to process (nearly 2 weeks ). However, Google is for the common internet user!
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