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Trends in Analytics


Data Scientist Skills for Success

With the increasing demand for data science professionals, what skills are necessary to succeed in our new digital world?

Data Wrangling Versus ETL: What’s the Difference?

Three things that distinguish data prep from the traditional extract, transform, and load process.

Use a Hadoop-based Data Lake to Empower New Best Practices for Business Analytics

To get full business value from big data and other new data sources, many organizations use a data lake atop Hadoop to capture, process, and manage diverse data at scale for business analytics.

The Future of Text Analytics

As enterprises look to put their best foot forward in 2017, many are increasingly turning to text analysis to improve customer experiences and business processes.

The Data-Driven Fascination with Now

Human biases are easily skewed by newer data because it makes up an ever-larger proportion of the data landscape.

Are Hadoop's Best Days Behind It -- Or Still Ahead?

Pessimists are predicting the end of Hadoop -- "peak Hadoop," in the words of one influential analyst. Optimists say Hadoop's future is assured. Who's right?

Growth of Cyberattacks Explored in New Report

Cybersecurity has been in the news throughout 2016 as the number and severity of attacks has increased. A new report presents analysis on the types of attacks that are growing, the dangers posed by IoT, and the security trends to expect this year.

It's the End of the Data Warehouse as We Know It

According to TDWI survey data, about half of all enterprises expect to replace their data warehouse systems -- in some cases, their analytics tools, too -- over the next three years. What should they replace them with?

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