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How FiveStars re-engineered its data engineering stack

CIO

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

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Cloudera and AWS Partner to Deliver Cost-Efficient and Sustainable Infrastructure for AI and Analytics

Cloudera

The net result is that queries are more efficient and run for shorter durations, while storage costs and energy consumption are reduced. Net Zero Commitment: Cloudera has committed to reducing carbon emissions and reaching Net Zero by 2050. Cloudera Data Engineering is just the start. Give it a try today.

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Tecton raises $100M, proving that the MLOps market is still hot

TechCrunch

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. “We are still in the early innings of MLOps.

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Enhancing customer care through deep machine learning at Travelers

CIO

s a pressing issue not unique to Travelers, but Mannoochahr sees that in order to deliver on those disciplines advancing analytics to foster a healthier business, he and his team recognize the need to cast a wider net. But we have to bring in the right talent. This is kind of a team sport for us, so itâ??s

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Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

. “For many working in this space, Predibase provides a net new capability when tackling use cases on unstructured data.” and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ).

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Inside the Kentik Data Engine, Part 2

Kentik

In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). AND i_dst_as_name LIKE ‘%Eyeball Net A%’. Time: 0.458s.