Big Data News – 6 Nov 2015

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VB WEBINAR: Missed it? Access this important webinar on-demand right here. “I always wanted to be different. I always wanted to be first.” This quote from Miuccia Prada — Forbe's 79th Most Powerful Woman — serves as great advice for mobile marketers. This year, over 3 million apps have been released online. That number is expected to skyrocket to 5.9 million in 2020. If you think it's hard now to get your app recognized in today's crowded market, it's going to be nearly impossible five years from now, when it becomes even more bloated.

A bit of personal nostalgia for my Friday post today. When I was a kid, 7 or 8 or so, back in South Australia, our family often made pilgrimages to Monash, then about a four hour drive from Adelaide.

Don’t you just love a heated debate among tech geeks? Along with arguments over the rightful place of cloud computing, the merits and risks of BYOD, and how to leverage the IoT, you can sit ringside while database administrators duke it out over NoSQL versus relational databases, usually SQL. Which one is better? Which one best suits your needs?

A bare-metal cloud is a branch off of the main evolutionary path from physical to virtual and advanced distributed architectures.

In this special guest feature, Giles House, CMO of CallidusCloud, discusses how Big Data has its place within an enterprise sales organization and how the technology can provide the sales team with some surprising insights.

So your enterprise wants to explore a disaster recovery program. Where do you start and who takes the lead? How do you sell it to the powers that be?

News this week included action on Wi-Fi blocking, telemedicine growth, students and their beloved phones, spectrum for 5G, and cloud backup issues.

Toyota will invest $1 billion to create an AI and robotics research institute headed by former DARPA project manager and MIT professor Gill Pratt. Its mission will extend beyond self-driving cars.

A lot has been written (including by me) on what it takes to be a good data scientist; what skills and traits are essential for the job and even how to acquire them. But what traits don't make a good data scientist?

Scientists, visualizers, analysts and executives: you’re invited to be a part of The Big Data Week Community. You want your big data story to be heard? Submit your speaking proposals and the selected ones will receive dedicated presentation time in Big Data Week events.

Feedzai, a big data company that uses artificially intelligent, machine-based learning to prevent fraud, launched its Data Science Studio™ software. The new features will help organizations of any size to deploy advanced machine learning techniques to fight financial and payment fraud.

Take your customer's experience from transactional to relational. With IBM Presence Insights and IBM Analytics, you can collect and analyze customer profiles and proximity in public spaces to see patterns, gain insights, and make helpful and enticing offers.

Winter is coming, but don't worry, there are apps for that

I just got back from the EARL conference in Boston, and just as with the London event back in September, there were many excellent presentations from companies using R for real-world applications. A few of the highlights I saw included: Verizon, the telecommunications giant, uses R to analyze cybersecurity data for its annual (and well-resepcted) Data Breach Investigations Report. According to presenter Bob Rudis, Verizon Enterprise Solutions' Security Data Scientist, R is used "soup to nuts" to create the report.

Books about the R programming language fall in different categories: Learning R Reference books for the professional R programmer Books about data science or visualization, using R to illustrate the concepts Books are a great way to learn a new programming language. Code samples is another great tool to start learning R, especially if you already use a different programming language. You might also want to check our DSC articles about R: they also include cheat sheets. If you are unsure about learning R, read about R versus Python.

James Molyneux, Academy Performance Analyst, tells us more

In the era of consumer-centric "agile" supply chain strategies, manufacturers are forced to act more like retailers in terms of how they capture, analyze and use consumer data. This gives visibility to internal and external supply chain partners on how products are made, sold and used. But that visibility demands more data from more points across the supply chain. In our information-intensive world, the old ways of ingesting, processing and storing data aren’t going to be sufficient. Manufacturers that can combine different data sources into a single view of their supply chain will be able to optimize material flows, track deliveries, predict shortfalls and prevent supply disruptions.

Amazon Web Services will open its third European datacenter cluster by early 2017, CTO Werner Vogels said Friday. The move will "provide … strong data sovereignty to local users," Vogels wrote in a blog post. Data sovereignty — or which country has jurisdiction over data — is a hot topic in the European Union, where the processing of citizens' personal information is subject to strict data protection laws. Those laws require that personal data sent outside the EU be given the same legal protection as at home. Exports of data to the U.S. were, until recently, simplified by the Safe Harbor Agreement, under which over 4,000 companies certified they would respect EU regulations when processing EU data in the U.S.

What are the implications of talent moving to startups?

We look back at our prediction from 12 months ago and what actually happened

How finance and supply chain should work together

What are the driving forces behind the new media empire?

Advanced data analytics has traditionally been costly, time-intensive, complicated, and often reserved for the large enterprise, but Taste Analytics is looking to change that with the launch of the Taste Analytics Signals platform, making data discovery simple and approachable for everyone — no data scientist required.

How can you make the most of Hadoop in your enterprise? Create a pattern of success in your organization by incorporating Hadoop in your broader data architecture as a way of providing meaningful insights to your company.

We sit down with Brian Helwig, Vice President of Operations at Netwrix

Data is having a significant impact on athlete injury rates

With the constant flow of data from multiple sources including the internet, social media, news, and CRM tools, it's important to figure out what all this data means to your business and what value it brings. Most companies collect data in one form or another and to each company, data represents something different. The value of data to every organization lies in the volume of data collected, its complexity, variety and the speed with which the data is received.

Previously, we announced that the leaders in the data governance space have joined Cloudera to provide a unified foundation for open metadata and end-to-end visibility for governance. Today, we are happy to host this guest blog from Venkat Subramanian, Chief Technology Officer and Subra Ramesh, VP of Engineering of Dataguise. —– People often refer to Big Data in the context of 4 Vs: Volume, variety, velocity, and "veracity".

The world of education has forever been changed by the development of big data e-learning. This technology provides a variety of effective online learning systems. It is able to collect huge amounts of data about how a student is performing with online testing and other types of activity.

How to sniff out your most creative employees

Splunk's annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger.

Toyota plans a major push into artificial intelligence and robotics technology research and will invest US$1 billion over the next five years to establish a Silicon Valley research and development center to pursue those goals. The Toyota Research Institute will be led by Gill Pratt, who recently joined Toyota from DARPA where he ran the Robotics Challenge, an event that promoted work on robots that can work with humans. "The goal of the Toyota Research Institute is to bridge the gap between fundamental research and product development, particularly of life saving and life improving technologies," said Pratt at a Tokyo news conference on Thursday.

How do you improve profitability and win a greater share of the customer wallet in an increasingly competitive market? Well, one way is to join the latest gold rush" and you could do that right now. There's a rich vein of golden nuggets with your name on it, just waiting to be discovered. Not in the mines of Australia or the streams of California, but in the vast deposits of Big Data that surround us.

We've all heard that data scientists analyze big data for a living. But what does that mean exactly? Nowadays, data is to civilization what gold used to be to our forefathers: the promise of a better tomorrow. Data can be used to predict natural disasters, to track the habits of online costumers, and of course, to sell more stuff. But what exactly needs to happen so this information ends up being useful? Well, big data is the answer. And data scientists analyze big data.

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