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 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 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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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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Photo by Hunters Race on Unsplash In a recent data analytics consultation, I got asked how data analytics and data science could help my clients 7-8 figure business. We discussed what their business goals were and what tools they were currently using. Based on that we set up the next steps to start aligning some…
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The rise in self-service analytics is a significant selling point for data warehousing, automatic data integrations, and drag and drop dashboards. In fact, in 2020, the largest software IPO this year was a data warehousing company called Snowflake. The question is how do you get your data from external application data sources into a data…
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