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Technology & IT

The rapid growth of the Big Data ecosystem has pushed the frontiers of technology, and our expectations, further than ever thought possible.

Big DataTechnology & IT

The march to the cloud for mission-critical applications is picking up speed. Even financial services firms, noted for their caution, are making headway. UK-based insurance intermediary Towergate Insurance announced last year that it is moving its IT infrastructure to the cloud. And The Wall Street Journal reported in June 2016

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bigdataweather
Big DataData ScienceTechnology & IT

Everyone has heard the old moniker garbage in – garbage out. It is a simple way of saying that machine learning is only as good as the data, algorithms, and human experience that goes into them. But even the best results can be thought of as garbage if no one

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Big DataTechnology & ITUnderstanding Big Data

The latest version of MySQL is one of the world’s most popular databases. It is open source, reliable, compatible with all major hosting providers, cost-effective, and easy to manage. Many organizations are leveraging the data security and strong transactional support offered by MySQL to secure online transactions and enhance customer

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Internet of ThingsTech TrendsTechnology & IT

As the collectors of actionable input information, networked smart devices with embedded sensors, software and electronics are a key driving force behind the Internet of Things (IoT). However, they do not generate value for organizations on their own. Powerful, fast database technologies are required to create meaningful insight from the

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Data ScienceTech TrendsTechnology & IT

The term AI (Artificial Intelligence) is being thrown around left and right these days. Many companies claim they have an AI play even when they don’t. But there’s another type of AI—an algorithmic approach to intelligence—that is smart and is emerging as the type of AI that IT organizations of

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BI & AnalyticsEventsTechnology & IT

Data is one of the most prized commodities of the 21st. century. As companies face the challenges arising from a surge in the number of customer interactions and data, it can be difficult to successfully manage the vast quantities of information and still provide a positive customer experience. Businesses need

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Big DataIndustryTechnology & IT

Researchers have estimated that 25 years ago, around 100GB of data was generated every day. By 1997, we were generating 100GB every hour and by 2002 the same amount of data was generated in a second. We’re on trajectory – by 2018 – to generate 50TB of data every single

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Big DataData ScienceTechnology & IT

The Value of Data Goes Beyond Any Number A quick look around the 21st century marketplace reveals a simple truth: the value of data has changed. Industries that once stood alone and operated in silos, have become interconnected by sheer necessity – collecting, analyzing, sharing and even selling data. Thus,

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Career in Data Sciencce
BI & AnalyticsData ScienceTechnology & IT

Given the enormous amount of Business Intelligence software solutions available, narrowing down the right one for your business can be a tedious process. How does a business start implementing this software? One way to start is by looking at systems that are popular among peers, because those products are the

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BI & AnalyticsData ScienceTechnology & IT

Data Science Platforms: Myth v. Reality The phrase “data science platform” has been bandied about a lot recently — at conferences, in market research, and in tech publications like this one. Forrester named data science platforms a top emerging technology last year, and companies using data science at an enterprise

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