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Data Science on a Large Scale: Can it Be Done?

Dataversity

The Challenge Michael Stonebraker, winner of the Turing Award 2014, has been quoted as saying: “The change will come when business analysts who work with SQL on large amounts of data give way to data scientists, which will involve more sophisticated analysis, predictive modeling, regressions and Bayesian […].

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Top 10 Business Trends to Watch for in 2022

Watermark Learning

Yet, at Educate 360 we have identified the top business trends we are seeing and expect organizations to continue experiencing in Project Management, Business Analysis, Agile, Data Science, and Leadership in the year ahead. A post from the Watermark Learning Project Brief Blog. Here are our Top 10 business trends to watch for in 2022.

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Automated Data Storytelling Is Not the Future of Analytics

Juice Analytics

Automated data storytelling is the future of analytics. That’s the argument put forth by James Richardson during a conference hosted by automated data storytelling vendor Narrative Science (as reported here ). He's been a champion for data storytelling at Gartner for years. What are you calling data stories?

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

Data Pine

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. How industries can benefit from streaming data.

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Data Engineer vs Data Scientist: What’s the Right Fit for Your Company?

Sisense

You’ve got a strong bank of existing customers whose business you can grow. That means there’s one Hell of a lot of data running through your organization. So, given the choice, which analytics job title should you choose: A data engineer or a data scientist? Digging Deep For Data Diamonds – The Data Engineer.