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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Photo by Clem Onojeghuo on Unsplash Owning and operating a business in today’s tech-savvy world opens up a plethora of opportunities for improvement. Through innovative technologies, business intelligence and data science are two fields proliferating the level of insight that owners have into all aspects of their organizations. This is done by collecting, maintaining, and…
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Photo by Windows on Unsplash It seems like it might be finally happening. Data engineering is finally getting a little bit of the data lime light. Which makes sense. The data being stored and analyzed is not only becoming more voluminous but its speed, complexity and variety are also increasing. Making it difficult to wrangle. With…
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Photo by Guille Álvarez on Unsplash With an extensive background in data science, analytics, and cloud computing, I am consistently asked the same questions repeatedly. Besides wanting to know the difference between a data engineer and a data scientist, one of the most common questions is, what skills should I learn as a data engineer?…
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Photo by Alexandre Debiève on Unsplash. There are plenty of cliches about data and its likeness to oil or companies being data-driven. The one truth I have learned from consulting over the past few years is that companies of all sizes are trying to figure out how to get to and utilize their data. The traditional methods of…
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Photo by CHUTTERSNAP on Unsplash In our last article, we outlined what to avoid when you modernize your data architecture. That was more of an introduction piece for people to know what to do when they start developing their data strategies. Now we are going to work to start developing a strategy to modernize your…
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