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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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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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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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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Are All NoSQL Systems The Same? Photo by Campaign Creators on Unsplash Which database is best for your current business needs is usually dependent on the skill set of your dev team and the applications in place already. Understanding which database system will best fit your companies both current and future needs is an important step. Databases…
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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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