Posts In Category

Understanding Big Data

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

Read More
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

Read More
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

Read More
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

Read More
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

Read More
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

Read More
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

Read More
Data Science 101FeaturedUnderstanding Big Data

‘SQL is outdated’. ‘RDBMS can no longer meet businesses’ data management needs’. ‘New database technologies like NoSQL are the solution for today’s enterprises’. We hear statements like these alot, both inside and outside the database technologies industry. But are they accurate? Is SQL a thing of the past, and are

Read More
Machine LearningUnderstanding Big Data

In 1959, Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed”. It’s a science of algorithms and automation; the algorithms “learn” from the dataset, identifying patterns or classifying trends for instance, and then automates output- whether that’s sorting

Read More
BI & AnalyticsUnderstanding Big Data

Follow @DataconomyMedia So far in the “Understanding Big Data” series, we’ve looked at what “big data” actually means; what the big data landscape looks like; and some of the infrastructural approaches you might look into when you’re taking the first tentative steps away from the data warehouse. In this edition,

Read More