Tag: Big Data

Creating a body language of online learning with graph databases

Sean York of Pearson discusses how graph technology becomes a medium for enriching online environments.

Intelligent, context-aware data and analytics technologies widen the decision-making aperture

These four innovations can help companies achieve an optimal mind-machine balance when it business decision making.

Demystifying machine learning part 4: Image and video applications

Some firms are using machine learning to process large amounts of unstructured data, but it’s not widespread—yet.

Digital haystacks: Extracting insight from enterprise data

How big data innovation helped PwC transform enterprise search to deliver key data and increase employee effectiveness.

Demystifying machine learning part 1

What you need to know about machine learning and how it can help companies achieve their growth goals.

Graph databases: Beyond recommendation engines

Graph databases allow businesses to draw powerful connections between many data points to make better use of big data.

Data lakes and the promise of unsiloed data

Data lakes that can scale at the pace of the cloud remove integration barriers and clear a path for more timely and informed business decisions.

2015 digital technology trends for business

Cybersecurity, NoSQL databases and the internet of things top the list of business technology innovations for 2015.

To liberate healthcare data, dip into data lakes

How data lakes can help healthcare companies make better user of their data while protecting confidential patient information.

The future of big data: Data lakes

Data lakes pose a number of opportunities—and challenges—for companies looking to make best use of their big data.

The End of Data Standardization

We can no longer deny the drive to diversify data management technology that began in the mid-90s. The aspiration to achieve one single and simple database management system has died. I grew up with the advent of commercial relational databases in the late 80s and early 90s. At the time, the promise was clear: you could store everything in a relational database that was carefully modeled and expandable. And in doing so, you acquired the ability to access, govern and securely manage every bit of data in a single technology environment. Most companies decided on a relational database standard and ported some or all of their applications towards that single database backend. All the principles of good architecture – including cost and skill optimization played out – until they didn’t. All seemed swimming until one of my clients – a major European railway operator – wanted to geo code every bit of equipment and every centimeter of their railway network. As hard as we tried, we couldn’t meet the client’s demands well with a relational database. The advent of spatial data management systems came to the rescue. Questions like ‘What is the total book value of all assets deployed within …

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Chris Curran

Principal and Chief Technologist, PwC US Tel: +1 (214) 754 5055 Email

Vicki Huff Eckert

Global New Business & Innovation Leader Tel: +1 (650) 387 4956 Email

Mark McCaffrey

US Technology, Media and Telecommunications (TMT) Leader Tel: +1 (408) 817 4199 Email