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Analytics Technology Redefines Social Media Marketing in Sports

Smart Data Collective

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings. We will also cover some of the changes brought on by data analytics. a year until 2030.

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5 Reasons Data-Savvy Accountants Are Becoming Vital to Businesses

Smart Data Collective

Companies around the world are expected to spend over $25 billion on financial analytics by 2028. Large financial institutions aren’t the only ones being impacted by big data. Small businesses are also using data analytics to improve their own finances. Data analytics has made it a lot easier to handle taxes.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. What if you took another perspective?

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes.

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How Big Data Leads To Improvements In Company Letterhead Designs

Smart Data Collective

Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs.

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Data Observability and Monitoring with DataOps

DataKitchen

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

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The 6 Layers of an IoT Solution

CDW Research Hub

The CompTIA IoT Advisory Council recently published a white paper called The Six Layers of an IoT Solution guide, which breaks down these layers and provides overarching guidance on IoT security to give IT solution practitioners more holistic knowledge of IoT solutions. In the case of IoT, this source of data is the sensor.

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