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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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Handling real-time data operations in the enterprise

O'Reilly Media - Data

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.

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Turing nabs $32M more for an AI-based platform to source and manage engineers remotely

TechCrunch

” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more. It starts with an AI platform to source and vet candidates.

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Coalesce lands fresh capital to transform data at ‘enterprise scale’

TechCrunch

. “Our product solves the largest bottleneck in analytics today by combining the speed of an intuitive graphical user interface with the flexibility of code, plus a healthy dose of automation, to enable rapid data transformations,” Petrossian continued.

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Enhancing customer care through deep machine learning at Travelers

CIO

re driving is really coming from the nexus of the infinite amount of data being generated, advancements in cloud computing and technology, and, of course, our ability to continue to expand our analytics expertise. We have a tremendous amount of capability already created helping our employees make the best decisions on our front lines,â??

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Modernizing Data Pipelines using Cloudera Data Platform – Part 1

Cloudera

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

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You still don’t need a feature store

Xebia

Stateful features need to be updated in real-time fashion as new data arrives. During development we use interactive notebooks and query historical data stored on a data lake or warehouse. Each transaction is an event, and the average amount feature changes with each transaction.

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