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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Photo by Fabio Sasso on Unsplash In the business world, cloud technology has become more and more dominant in recent years. Right now, research shows that about 50% of all business data is stored in the cloud, which just demonstrates the importance of external data sources and their place in the modern business environment. In…
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Photo by CHUTTERSNAP on Unsplash When it comes to best practices and business alignment, most new data engineers learn as they go on the job. From building overly complex and unsustainable systems to putting too much faith in existing data structures, here are five of the most common mistakes and traps that even the most…
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Tips For Your Next Technical Interview Technical interviews don’t just test your understanding about data structures and algorithms for calculating the probability of events occurring. These interviews attempt to understand your level of responsibility in your previous projects, your communication abilities, as well as gauge your past experiences to see if you can make good decisions independently. This is why…
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As the data industry evolves with new technology, so do data engineering challenges. What can new engineers expect? As data engineers, you play vital roles in your field by collecting and analyzing data. But necessary data engineer skills today aren’t the same as they were in years past, and the role is seeing some serious…
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Even small companies these days on average have 47.81 terabytes of data that they manage. Regardless if you’re a small company or a trillion-dollar behemoth, data is driving decisions. But as data ecosystems become more complex, having the right tools for the job is important. One modern data management tool that can help manage data at really…
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