In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...
Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...
Both data warehouses and data lakes offer robust options for ensuring that data is well-managed and prepped for today’s analytics requirements. However, the two environments have distinctly different ...
AWS vice president of technology (data and analytics) Mai-Lan Tomson Bukovec spoke to the Computer Weekly Developer Network ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the age of exponential data growth, organizations face the pressing challenge of managing ...
Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...
Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Disclaimer: This is not formal legal advice, and my intent with this article is to generate ...
Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...
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