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The Future of Big Data: 10 Predictions You Should Be Aware Of

Come 2020, every person in the world will be creating 7 MBs of data every second. We have already created more data in past couple of years than in the entire history of human kind. Big data has taken the world by storm and there are no signs of slowing down. You might be thinking,…

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Data scientists are earning $200,000 pay packets

MATHS and marketing are the keys to a big pay packet, with one new occupation offering $200,000 a year and predicted to become a staple in businesses everywhere. Data scientists, essentially data analysts with business know-how, are in such high demand and low supply in the new era of big data that they are earning…

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125 open source Big Data architecture papers for data professionals

Big Data technology has been extremely disruptive with open source playing a dominant role in shaping its evolution. While on one hand it has been disruptive, on the other it has led to a complex ecosystem where new frameworks, libraries and tools are being released pretty much every day, creating confusion as technologists struggle and…

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History of Neural Networks

Deep Learning has become a buzz word during the past few years. I contemplated many times to read about it and had no success until now. I have referred quite a good number of articles over the web (references below) along with the below highlighted original research papers (focused mainly on Abstract, Introduction, Brief description…

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How Big Data Analytics is Changing Healthcare Industry

Data is all about creating business value. However, Big Data is helping to make the world a better place. And there is no better example than the healthcare. Big data has fundamentally changed the face of healthcare industry. In order to gain value from big data, it is important to process and analyze information in…

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Artificial Intelligence Experts Are in High Demand

Demand for artificial intelligence (AI) know-how has exploded in recent years, and major technology firms are turning to the ranks of academia to find that expertise. This demand is being driven by the falling cost of computing power and the need for methods of analyzing the mountains of data being generated every day. Click here…

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AI Talent Grab Sparks Excitement and Concern

When Andrew Ng joined Google from Stanford University in 2011, he was among a trickle of artificial-intelligence (AI) experts in academia taking up roles in industry. Five years later, demand for expertise in AI is booming — and a torrent of researchers is following Ng’s lead. The laboratories of tech titans Google, Microsoft, Facebook, IBM…

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Data Lake vs Data Warehouse: Key Differences

Some of us have been hearing more about the data lake, especially during the last six months. There are those that tell us the data lake is just a reincarnation of the data warehouse—in the spirit of “been there, done that.” Others have focused on how much better this “shiny, new” data lake is, while…

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Data Wrangling Versus ETL: What’s the Difference?

Over the past few years, data wrangling (also known as data preparation) has emerged as a fast-growing space within the analytics industry. Once an analysis bottleneck due to painful, time-consuming work preparing diverse data sources for reporting and analysis, data wrangling technologies have come a long way. Click here to read more.

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Data Scientist: The Sexiest Job of the 21st Century

According to the Harvard Business Review, the sexiest profession of the 21st century is tipped to be data scientist. The shortage of data scientists is becoming a serious constraint in some sectors. Click here to read the full article.

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