Big Data News – 11 Nov 2016

Today's Infographic Link: Tech Trends 2016

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Learning new data tools could increase your worth and salary. But the best choice depends on which tools you already know. Here's a look at which ones to add to your tool kit next.

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This new release adds support for Amazon EBS volumes and ability to diagnose errors quickly. Cloudera Director provides a simple, reliable, enterprise-grade way to deploy, scale, and manage Apache Hadoop in the cloud of your choice. Cloudera Director enables you to deploy production-ready clusters for big data applications and successfully run workloads in the cloud. Cloudera Director makes it easier for customers to: Deploy clusters in line with patterns native to cloud infrastructure Use an interface to define in one place the desired cluster specification all the way down to the operating system Repeatedly and programmatically instantiate these cluster definitions Adapt to the dynamic nature of cloud infrastructure Cloudera Director 2.2 provides additional mechanisms to get that initial cluster definition right and the ability to diagnose errors and iterate quickly.

TidalScale helps companies draw insights from big data faster, more easily and with greater flexibility at improved costs.

The shock of Donald Trump's upset victory has begun to wear off. Now the search for answers begins. In particular: How in this age of big data collection and data-crunching analytics could so many polls, economic election models, and surveys–even those by top Republican pollsters–have been so wrong going into election day?

The Apache Software Foundation is overhauling project leadership for the Cassandra database. Will it survive the change?

Mirai is a threat that may or may not be fading, but the idea of assaulting the internet with DDoS attacks on IoT-connected devices is a potent one.

Cybersecurity is everybody's responsibility. Ignoring it might seem to make your work life easier, but the consequences hurt everyone in the long run.

Discover how your organization can improve sales results and achieve operational efficiencies with IBM Incentive Compensation Solution.

A holistic and dynamic surveillance system that looks across the trading activity, specific actions and communications of the trader goes beyond traditional, rules-based surveillance systems. See how IBM Surveillance Insight for Financial Services provides a cognitive system that takes surveillance to the next level by providing unique visualization experiences to identify new patterns that haven't yet been considered.

This animation of Airbnb host locations from 2011-2014, presented by Ricardo Bion (data scientist manager at Airbnb) at the EARL Boston conference earlier this week, shows the dramatic growth in properties to rent through the service along with the most common routes of travellers. (You can find the R code that created this animation here.) How did Airbnb achieve such rapid growth? According to Ricardo, it's by being a "data-informed company". One of the first eight hires at Airbnb was a data scientist. And as we've noted here before, R is widely used at Airbnb along with other data science tools including Python and Jupyter.

Google's Urs Holzle says cloud suppliers won't be able to bank the gains of Moore's Law much longer and will have to eke out advances elsewhere.

There are a few different, and sometimes opposing forces in analytics software which make the process of evaluating, purchasing, implementing and using BI software products a complex process. The rapid pace of unstructured and structured data growth in many companies requires a reporting system which is sophisticated and powerful for:

Data servers have access to their own cooling and power systems, however, without proper safety precautions, they're exposed to electrical risks, like arc flash. Don't let your data center fall victim.

Compared with other device markets, the tablet market should be relatively quiet in 2017, according to Taiwan-based researcher TrendForce.

Big data and design thinking share some common core principles for creating highly connected, meaningful business and customer user experiences. See why organizations worldwide are realizing the magic of combining big data with design thinking to generate value for powerful business use cases.

We're on the edge of a paradigm shift in the way organizations operate–and rightfully so. New technologies are developed daily and will only contribute to even larger volumes of information. To take advantage of the value data holds, enterprises need different skill-sets, decision-making structures and a new lens for evaluating business challenges.

How do you choose the right cloud implementation model for your business – public, private, hybrid?

Data breaches can tarnish a company's reputation, making it very difficult to win back customer loyalty and support. A leader's response to a data breach can mean the difference between damage control and total chaos.

A skillful blend of people and technology can provide valuable data for GIS




Millennials are making a huge impact on the world. Since passing the Baby Boomers in population in 2012, it was forecasted that business practices needed to shift their marketing strategies soon. Well, 'soon' has arrived and by 2017, you'll need to focus your marketing more toward this generation.

At this writing, it's Wednesday morning after the U.S. election. None of my friends is sober, probably including my editor. I had a different article scheduled originally, which it made the assumption that I'd been wrong all along, because that's what everyone said. The first article in which I mentioned President Trump posted on Sept. 10, 2015, and covered data analytics in the marijuana industry. Shockingly, both Trump and marijuana won big.

Cloudera Enterprise 5.9 includes the latest release of Hue (3.11), the web UI that makes Apache Hadoop easier to use. As part of Cloudera's continuing investments in user experience and productivity, Cloudera Enterprise 5.9 includes a new release of Hue. Hue continues its focus on SQL and also now makes your interaction with the Cloud easier (Amazon S3 specifically in this first version). We'll provide a summary of the main improvements in the following part of this blog post.

We polled InformationWeek readers to find out about your IT spending priorities for 2017. Here's what you told us.

SAP is trying to make it simpler for IT to deploy an analytics environment by providing the underlying PaaS layer with SAP BusinessObjects Analytics.

Modernizing and streamlining the data center is imperative for IT departments in order to deliver the agility and flexibility required by their businesses.

Cloud storage is an indispensable tool in today's hyper-connected world. But unlike the early days of cloud storage, when vendors regularly rolled out new capabilities and routinely bumped up storage limits, the market has matured in terms of capabilities and storage norms. Here are some key factors to consider before choosing a new cloud storage service. Getting started with the cloud One of the first things you should do when choosing between cloud services is compare storage options, features and costs. Free offerings might work if you need only the basics, but some of the most important or advanced capabilities are available only via paid plans. Some cloud services offer very limited storage space for free, and some offer none at all.

Enterprises considering adopting public clouds are concerned about where their data is located and how it's protected, according to a new survey by IDG. Companies will have about 60 percent of their IT environment in public, private, or hybrid clouds, according to a survey of about 1,000 IT decision makers. Of those considering public cloud deployments, the top concerns were where data is stored, at 43 percent of respondents, and security, with 41 percent of respondents. And with all the high-profile hacks of well-known online brand names, it's no surprise.

IBM's Watson artificial intelligence platform has joined forces with researchers at MIT and Harvard to study how thousands of cancers mutate to become resistant to drug treatments that initially worked to beat back the disease. By discovering how cancers adapt to overcome drug therapies, researchers at MIT's and Harvard's Broad Institute genomics research center hope to develop a new generation of therapies that cancers cannot circumvent. While a growing number of treatments can hold cancers in check for months or years, most cancers eventually recur, according to the Broad Institute researchers. This is in part because tumors acquire mutations that make them drug resistant.

Community structures and relation patterns, and ranking them for social networks provide us with great knowledge about network. Such knowledge can be utilized for target marketing or grouping similar, yet dist…

Compared with other device markets, the tablet market will be relatively quiet in 2017, reports Taiwan-based researcher TrendForce.

What were VIP Dez Blanchfield's top three takeaways from World of Watson this year? Find out!

The 802.11ad standard has been given the catchy moniker of WiGig, and enables data speeds as fast as 8 Gigabits per second (Gbps) over short range.

Most election prediction shops and public polls in recent days foresaw Republican Donald Trump losing the U.S. presidential race to Democrat Hillary Clinton. They got it wrong, bigly. And the failed predictions could cast doubts on some hot technology sectors, including big data and customer relationship management. Not so fast, say some data experts. The problem with the polls and with forecasters like FiveThirtyEight may have more to do with data collection than data crunching, they say. Data analysis worked well in the Moneyball model for the Oakland Athletics, but baseball stats are different than election polling, said CRM analyst Denis Pombriant, founder of Beagle Research Group. Statisticians have been collecting "highly reliable" baseball data for more than a century, while polling data is more squishy, he said.

Most election prediction shops and public polls in recent days foresaw Republican Donald Trump losing the U.S. presidential race to Democrat Hillary Clinton. They got it wrong, bigly. And the failed predictions could cast doubts on some hot technology sectors, including big data and customer relationship management. Not so fast, say some data experts. The problem with the polls and with forecasters like FiveThirtyEight may have more to do with data collection than data crunching, they say. Data analysis worked well in the Moneyball model for the Oakland Athletics, but baseball stats are different than election polling, said CRM analyst Denis Pombriant, founder of Beagle Research Group. Statisticians have been collecting "highly reliable" baseball data for more than a century, while polling data is more squishy, he said.

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