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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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Use Git data to optimize your developers’ annual reviews

TechCrunch

We believe that the only unbiased, accurate and insightful way to understand how your developers are working, progressing and — last but definitely not least — how they’re feeling, is with data. Data can provide more objective insights into employee activity than could ever be gathered by a human. Use data to set next year’s goals.

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How Engineering Managers Can Help Recruiters Improve Developer Hiring

Hacker Earth Developers Blog

The engineering manager vs. recruiter saga is an age-old story. One of the main reasons this happens is because both recruiters and engineering managers approach the same problem from different perspectives. Hiring managers should take their time with the JD. Yet, they remain at loggerheads.

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Diving Deep Into The World Of Data Science With Ashutosh Kumar

Hacker Earth Developers Blog

Hire IQ by HackerEarth is a new initiative in which we speak with recruiters, talent acquisition managers, and hiring managers from across the globe, and ask them pertinent questions on the issues that ail the tech recruiting world. Next up in this edition is Ashutosh Kumar, Director of Data Science, at Epsilon India.

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Skyscanner's Journey to a "Continuous Improvement" Team Culture

Speaker: Ramsay Ashby

In this webinar, Ramsay Ashby, Senior Software Delivery Operations Manager at Skyscanner, shared their journey to build a data-driven Agile organization with Plandek, from acknowledging that data was critical to realizing their competitive advantage to changing their engineering management culture to one that valued and utilized these metrics to drive (..)

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Pliops lands $100M for chips that accelerate analytics in data centers

TechCrunch

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. But some organizations are struggling to process, store and use their vast amounts of data efficiently. ” Pliops isn’t the first to market with a processor for data analytics.

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#ClouderaLife Employee Spotlight: Sherry Zhou, Engineering Manager

Cloudera

Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team. Her team’s objectives are to, first, make it easier for analysts to explore data, enabling them to uncover interesting trends in product features and performance. She then brought her and her family to London and moved on to another company.