Ready to unlock your company’s potential using data? Data automation and visualization is your answer. And here at the Seattle Data Guy, we’ve got you covered. Companies from Seattle to New York trust us with their data science solutions. Why’s that? The short answer: while many companies have been leveraging data science and…
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Photo by Science in HD on Unsplash Unlike software engineering, there aren’t a lot of college courses in data engineering. Nor a huge list of boot camps teaching the practice. This leads to best practices often being learned on the job, as well as a cornucopia of technologies being used across teams and companies. So what defines a…
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Photo by Levi Jones on Unsplash A vital part of the successful completion of any project is the selection of the right tools. When it comes to big data, sometimes the difficult choice here is picking the right streaming data service. For example should you use Apache Kafka or RabbitMQ. Both platforms feature several functionalities and use cases…
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Photo by Nathan John on Unsplash Managing big data no longer means just buying bigger and faster servers It now also means needing to understand the concept of parallel computing. The list of tools and data systems that are helping manage this specific concept continues to grow on a yearly basis. Whether it be using AWS and querying…
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Photo by Sean Pollock on Unsplash Banks from Seattle to New York trust us with their data science solutions. Why’s that? The short answer: while the finance industry has been leveraging data science and statistics for decades, times are changing. Data science and financial strategy are evolving. This means teams need to stay current in order to maximize…
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Photo by Sean Pollock on Unsplash You may think of ATM workings as a revolutionary experience but since the advent of Fintech, the entire financial services domain has entered a new era. Whether you purchase a cup of coffee or manage your finances, fintech is everywhere. From payments via apps such as Payoneer or Paypal to getting reports,…
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Python really is everywhere at this point. Although many gatekeepers argue whether a person is really a software developer if they don’t code in a language more difficult than Python, it still is everywhere. It’s used to automate, manage websites, analyze data, and wrangle big data. As data grows, the way we manage it becomes more and…
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Back in my day, databases and applications used to only sync late at night while everyone was asleep. Now in the modern era, everyone expects their data the second it’s updated (if not somehow magically before the data occurs). Large corporations and Fortune 500 companies depend on this data to be able to predict consumer…
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Photo by ZACHARY STAINES on Unsplash Performing ad hoc analysis is a daily part of life for most data scientists and analysts on operations teams. They are often held back by not having direct and immediate access to their data because the data might not be in a data warehouse or it might be stored across…
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Photo by Taylor Vick on Unsplash How companies manage their data is no longer limited to traditional relational databases. Amazon Web Services (AWS) for example offers a diverse collection of options when it comes to storing data. We recently wrote a piece solely focused on Redshift, but we wanted to introduce a few more options.…
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