Source https://unsplash.com/photos/sb7RUrRMaC4 Snowflake is a cloud data platform. To be more specific it’s the first cloud built data platform. Its architecture allows data specialists to not only create data warehouses but also cloud data lake-houses because it can manage both structured and unstructured data easily. Being that Snowflake is based in the cloud, this means that it…
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Maybe it’s the 6 figure salaries, the opportunity to work with cool technology or people are finally learning that data engineering is where everything starts in the data field. Whatever the reason, people are noticing. VCs are investing in data storage and ingestion platforms and companies are interviewing more data engineers compared to previous years. But how…
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Scaling data talent is hard. It’s hard to hire. Hard to grow and just overall hard in terms of managing processes and output. But there are brilliant leaders and managers doing it everyday. I recently interviewed Veronica Zhai, the principal product manager at Fivetran. She has led Fivetran’s analytical team for nearly the last year…
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Photo by Christina @ wocintechchat.com on Unsplash Why does it feel like so many more articles are discussing the data engineering profession? Perhaps it’s because Dice’s 2020 tech jobs report cites data engineering as the fastest-growing field in 2020, increasing by a staggering 50%, while data science roles only increased by 10%? Or maybe it’s just because the Medium…
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Photo by Martin Sanchez on Unsplash There are plenty of clichés about data and its likeness to oil. But it’s far from easy to get value from data. Companies are creating more data than ever before. At our current pace, 2.5 quintillion bytes of data are created every day. Companies went from pulling data solely…
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Photo by Jakub Skafiriak on Unsplash Born out of frustration with the only open source distributed programming implementation of the time, Apache Spark was created in the UC Berkeley AMPLab in 2014 to replace it’s predecessor Hadoop MapReduce. MapReduce was robust but burdened by excessive boiler plating, serialization and deserialization. MapReduce was created to anticipate node…
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Photo by ThisisEngineering RAEng on Unsplash 2021 is almost halfway over and it seems like hundreds of millions of dollars has gone into investing in data, data start-ups and machine learning. In particular funding has also shifted heavily from just focusing on the data science and machine learning space to the data engineering and data management…
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Photo by Green Chameleon on Unsplash All signs point towards an auspicious future for data engineering. Dice’s 2020 tech jobs report cites Data Engineering as the fastest growing job in 2020. Increasing by a staggering 50%, while Data Science roles only increased by 10%. You can rest assured that the influx of data engineering will not regress anytime soon.…
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Software engineer vs. data engineer. People outside these professions are often confused about the differences between these experts. They may think these are two different names for the same thing: a programming expert. Of course, the duties of each engineer type are different, but their roles are similar enough to confuse people who are in…
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Photo by ThisisEngineering RAEng on Unsplash By Iris Huang I’ve been four years into a career leading to data engineering, and am very glad to see the wave has risen. Influencers (from YouTube to LinkedIn top voices) and companies have started to recognize the importance of onboarding a data engineer before a data scientist if…
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