Photo by Yancy Min on Unsplash In this tech-centric era, companies aim to extract maximum business value from their data in order to stay relevant and efficient via data-driven business decisions. In order to do so, they rely on Artificial Intelligence and Machine Learning. In fact, research shows that artificial intelligence can increase business productivity by 40%! Therefore, it…
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Photo by Caspar Camille Rubin on Unsplash SQL remains the language for data. Developed back in the 1970s, it is one of the few technologies that has remained constant. Regardless of what drag and drop tools come around or what new query paradigms try to overtake it. SQL remains the most widely used technologies to interact with data.…
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Photo by Mr Cup / Fabien Barral on Unsplash SQL is one of the most in-demand technical skills in the workplace today. Developed back in the 1970s, it is still the way we interface most of our data systems today. Regardless of what drag and drop tools come around or what new query paradigms try…
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Photo by Startaê Team on Unsplash Our data consulting team has had the privileged to help develop strategies, data products, algorithms, upskill teams, and help grow our new data-focused departments at companies all across US. With all of this work focused around growing teams, data analytics strategies, and custom data science solutions we have…
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Photo by Shahadat Rahman on Unsplash With the increased need for data analytics and data science that is even more granular and allows for self-service analytics. Getting access to the data you need still is far from easy. If you have worked in any role related to data, or even just adjacent to it, you…
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Automating daily tasks with Python is easy. With a combination of APIs and easy-to-understand libraries, you can easily set up systems that scrape websites, send emails, and manage data and analytics. One very common task you’ll need to automate in the corporate world is the ability to scrape public government data. This usually comes from…
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As a developer, you will often need to create APIs to interact with various systems and integrations. Traditionally, this required a lot of work as far as developing the infrastructure and deploying the code on either an on-premise or cloud server like EC2. However, this method is slow and costly. Thus, the concept of serverless…
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Photo by ev on Unsplash There are plenty of cliches about data and its likeness to oil or companies being data-driven. Is there truth to all this hype about data strategy, predictive modeling, data visualization, and machine learning? In our experience, these cliches are true. In the past few years, we have already helped several…
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With success accompanying a growing brand comes the demand for better technological solutions. Businesses today consider full access to specialized support services like cloud computing an integral part of their day to day. Cloud computing permits firms to access to the same computing power that big businesses have. Cloud computing also delivers the perfect fit…
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Photo by Mike Benna on Unsplash One of the main roles of a data engineer can be summed up as getting data from point A to point B. We often need to pull data out of one system and insert it into another. This could be for various purposes. This includes analytics, integrations, and machine learning. But in…
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