CIO
SEPTEMBER 14, 2023
What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.
CIO
AUGUST 9, 2022
What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.
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CIO
AUGUST 9, 2023
In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.
CIO
JUNE 14, 2023
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.
TechCrunch
SEPTEMBER 28, 2022
Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Flowers, also previously at Carbonite, had been working with several founding engineers to create Wasabi and eventually convinced Friend to join the effort.
CIO
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?
CIO
MARCH 31, 2023
As a chipmaker, AMD is a vital supplier for the public cloud’s compute engine, and among Ranjan’s key remits is to support the engineering of semiconductors that power the cloud. And for AMD’s most critical engineering applications, the answer remains its own data centers — not the cloud.
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