Amazon Web Services (AWS) has simplified much of developers’ workflows and development over the past decade. AWS allows engineers to command and control cloud-based infrastructure, data, and other technical pieces of infrastructure without the hassle of developing entire frameworks from scratch. Initially, AWS was launched to take care of online retail operations for Amazon, but…
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Photo by Marcin Jozwiak on Unsplash We recently wrote about ETLs and why they’re important. We wanted to provide an outline for what ETL tools are. You could refer to these ETL tools as workflow tools that help manage moving data from point A to point B. Two of these popular workflow tools are Luigi by Spotify and…
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Photo by Matteo Vistocco on Unsplash Agile is an umbrella term that refers to several methodologies that focus on being iterative and on getting tangible products and features out quickly at the end of what are often called sprints. This framework has been adapted for multiple domains, including programming and design. Similarly, data science has also…
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Photo by Jan Kolar / VUI Designer on Unsplash Introduction: As vital members of data analytics team in any firm, data engineers are responsible for overseeing, optimizing, monitoring and managing data storage, distribution, and retrieval throughout the company. They are responsible for developing new algorithms and finding the latest trends in data sets that can be used…
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Photo by Lukas Blazek on Unsplash We recently wrote an article about designing million-dollar dashboards. We wanted to take it one step further and give actual use cases we have developed for companies that they have used to in turn drive sales, reduce costs, and change strategy. In our experience we have seen dashboards get developed, cost companies…
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“The Implementation of Business Intelligence (BI) solution can be a game-changer for any business as it offers integrated insight into data from all aspects. In spite of all its promises, the implementation of BI is more often than not faced with mixed outcomes. So, what ideas and tips get you the best possible result? Let’s…
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Data is fast becoming an essential part of small and big companies globally. Treating data as an asset implies using tools to perform data analytics to the vital aspects of your business. The increasing importance and demand for data analytics have generated several global prospects and ideas on data. According to International Data Corporation, Big data…
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Automation. It’s supposed to remove work. So, why not help it along? Truth be told, automating even simple tasks robustly takes time and a lot of dependency management which can become very complex. Nevertheless, it can be very rewarding to automate some simple tasks. Even if it was more for fun. For those that are Python fans…
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Creating reports is a necessary part of working at almost any company. It allows executives, managers, directors and business owners the ability to gain information from multiple departments and then make effective decisions. It is vital that executives have this information so they can make clear decisions. In this data driven world, it is not…
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Data science and statistics are not magic. They won’t magically fix all of a company’s problems. However, they are useful tools to help companies make more accurate decisions and automate repetitive work and choices that teams need to make. Machine learning and data science get referenced a lot when referring to natural language processing, imaging…
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