Hu's Place - HitachiVantara
JUNE 18, 2019
There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. Some jobs were able to achieve 1200% performance improvement!
CIO
JUNE 7, 2022
It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
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CIO
JANUARY 12, 2023
Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor. Defects cause problems for a company’s brand and bottom line.
Perficient
JANUARY 10, 2023
The goal of performance tuning in SQL is to minimize the execution time of the query and reduce the number of resources while processing the query. Whenever we run the query, performance depends on the amount of data and the complexity of the calculations we are working on. Also, at which level we are filtering the data. Exist vs IN –.
CIO
NOVEMBER 14, 2022
Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. These systems help managers monitor performance indicators. Clinical DSS. ERP dashboards. Document-driven DSS.
TechCrunch
JANUARY 24, 2023
The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” So what else can enterprises do with Komprise? .
TechCrunch
JUNE 1, 2022
We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.
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