Data Analytics

Data analytics news, trends, analysis and practical advice

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Drones in the enterprise: The future of data collection

UAVs (popularly known as drones) have been in the news a lot lately. But are they really useful as business tools? Here are some tips for enterprise IT on things to keep in mind when deploying a drone.

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AOL rolls out 'One' programmatic-advertising tool to rule them all

Few would deny the life-simplifying appeal of a one-stop shopping experience, and that's just what AOL aims to offer brands in the world of programmatic advertising.

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How data analytics can drive workforce diversity

Best known for driving hiring decisions and identifying skills gaps, data analytics can also deliver the visibility, workforce intelligence and employee engagement needed to improve gender, ethnic and racial diversity of IT teams.

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Need to plumb Hadoop data lakes? Think Big's tool can help

Think Big on Monday unveiled its Dashboard Engine for Hadoop, which aims to make it easier for business users to extract insights from data stored in Hadoop.


The data science ecosystem, part 3: Data applications

The third part in a series on the data science ecosystem looks at the applications that turn data into insights or models.

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AWS offers machine-learning service to make sense of big data

Enterprises will soon be able to do the kind of big data analysis that allows Amazon to recommend books, video games and toasters to its customers,


The FTC is worried about algorithmic transparency, and you should be too

It's no secret that algorithms power much of the technology we interact with every day, whether it's to search for information on Google or to browse through a Facebook news feed. What's less widely known is that algorithms also play...

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Oracle brings big data back to database administrators

Oracle has released a new extension for its Oracle Data Integrator middleware that allows DBAs and data warehouse experts to treat big data repositories as just another data source


The data science ecosystem part 2: Data wrangling

Data scientists spend 80% of their time convert data into a usable form. There are many tools out there to help and I will go over some of the most interesting.

HP links Vertica and IDOL seeking better unstructured data analysis

Promising more thorough and timelier data analysis, Hewlett-Packard has released a software package that combines the company's Vertica database with its IDOL data analysis platform.

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R in 5 lines or less: Data breach quick analysis

See how to generate counts by category and simple visualizations. With video and code.

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Why analytics is eating the world

It's been nearly four years since investor and entrepreneur Marc Andreessen proclaimed that software is "eating the world", and the evidence is everywhere. Full-scale transformations are being wrought upon companies and...

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Databricks takes the human intervention out of Spark processing

A new workflow feature for Databricks Cloud can automate routine deployment tasks.

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Facebook's query software now crawls data mountains faster

Facebook engineers have revamped the company's open source Presto query engine to run up to four times faster.

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IBM puts a price on Twitter analytics

The insight gained from a single tweet might not be worth very much, but the data from a million could be worthy. At least, IBM hopes so.

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A call for data analysis case studies

For our 2015 Data+ Editors' Choice Awards, Computerworld editors are seeking case studies that illustrate intriguing ways big data is being used everywhere from research to commerce. Submit your case study today.

Data science = achieving predictability

Data science leads the customer engagement revolution

The big data revolution gained significant momentum in 2014, amassing to an incomprehensible amount of data: a zettabyte in just the past two years. Yet the revolution that is under way is not in the unprecedented quantity of data...

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1010data gets religion on R

Data analysis platform provider 1010data has added R to its arsenal, allowing its many enterprise customers to interrogate their data with the statistics-oriented programming language.

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