O TYM ODCINKU
In this episode, Carrie Ballinger introduces us to a critical requirement of managing data and analytics at scale—workload management.
- What is “workload management”?
- Why and when workload management is necessary
- The most important thing workload management enables
- How is workload management managed?
- Different types of workload management
- How workload management improves overall throughput
- Interesting workload management stories
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WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki Datacast: Data & Analytics at Scale.
INNE ODCINKI W TYM PODCASCIE
In this episode, Rob Armstrong talks about the evolution and future of analytics.
“There are things in every single company that should be done in the cloud. On the flip side of the coin, not everything belongs in the cloud.” — Marc Clark
Not sure what data and analytics scenarios make the most sense to do in the cloud? Maybe more importantly, are you sure which don’t?
M…
Our guest this week is Tim Miller, from Teradata’s Technology & Innovation Office. He was a principal in the development of the first commercial in-database data mining system, which makes him a perfect choice to provide an overview of the data science process.
…
“There are many types of data that have many different types of relationships, and you need to manage that data based on value.” — Rob Armstrong, Teradata
This week, Rob Armstrong shares all you need to know about data management by value—in just two shapes.
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The C…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Teradata, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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