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Understanding Big Data

Big DataUnderstanding Big Data

Big Data. It’s everyone’s favourite buzzword. The Big Data trend has the potential to revolutionise the IT industry by offering businesses new insight into the data they previously ignored. For many, it is seen as the Holy Grail for businesses today. For organisations, it’s the route towards better understanding exactly

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Data ScienceUnderstanding Big Data

In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts are often pushed aside due to their seemingly complex nature. With a lot to offer in the way of data analysis, let’s take a deeper (yet simplified) look into cohorts.

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Data Science 101Understanding Big Data

Data scientists suffer needlessly when they don’t account for the time it takes to properly complete all of the steps of exploratory data analysis There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets

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Data ScienceUnderstanding Big Data

NASA is often on the front end of tech trends. They are constantly coming out with new tools, releasing incredible footage and data, and even support open source communities. Given how much information they can and often need to receive from their space equipment, it is no surprise that they

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Data Science 101Understanding Big Data

Highly effective data analysis isn’t learned overnight, but it can be learned faster. Here are 7 habits of data analysis I wish someone told me for effectively incorporating, communicating and investing in data analysis geared towards an engineering team. 1. Value simplicity of analysis over fancy algorithms If you can’t

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Big DataUnderstanding Big Data

Big data is being integrated into nearly every field. It should be no surprise that the multi-billion dollar music industry wants in. There are two major ways big data is already influencing the music industry: music creation and music selection. The second one, however, is making far more waves. It’s

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Machine LearningUnderstanding Big Data

The field of data science has been overcome by buzzwords over the past few years. Such words often start as potentially powerful and revolutionary ideas, but through overuse and miscomprehension lose their potency. One of the terms within the field of data science that is adhering to this trajectory is

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Understanding Big Data

To say that the cloud computing market was exploding would be an understatement. In July, we heard multiple reports supporting the proclamation of cloud as the next revolution in the computing industry. The IDC claimed the cloud computing market at the close of the year would be worth $4 billion

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Understanding Big Data

The open source technology market is huge. It fuels 1 million unique projects today, and opens up massive opportunities for small and large enterprises alike. It means small companies can deploy technologies in a cost-effective manner, and large enterprises have the means to scale; as John Gallaugher points out, Google has

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BI & AnalyticsUnderstanding Big Data

In our cartographic overview of the big data ecosystem, we stated a Big Data environment should allow you to store, process, analyse and visualise data. Thus far in the “Understanding Big Data” series, we’ve been breaking down the ecosystem into composite parts, focusing on software which specifically focuses one or

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