Big Data News – 08 Mar 2017

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The number of information sources streaming into government has never been greater. But is it making us smarter?

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Microsoft has warmed up to Qualcomm to make a Windows 10 PC based on its ARM chip, and now the companies are bringing Windows Server OS to ARM. For the first time ever, Microsoft is expected to show the Windows Server OS running on an ARM server. The server runs on Qualcomm's Centriq 2400, an ARM-based chip designed for cloud servers. The server is being shown at the Open Project Compute Summit being held in Santa Clara, Calif., on Wednesday and Thursday.The ARM-based Windows Server hardware is for Microsoft's internal use. No information was shared on when Windows Server would be available for ARM servers. The ARM-based Windows Server hardware is for Microsoft's internal use. The company didn't share information about when Windows Server would be available for ARM servers.

Ever since I can remember, Silicon Valley has been enamored with the idea of group editing of documents. Very little good writing gets done that way, of course. It's like the joke that a camel is a horse designed by committee.  Office 365 vs. G Suite: Meeting collaboration

I have written on the topic of cloud-induced transformation of IT in the past. Adapting IT audit and monitoring processes to cloud infrastructure is one of the challenges I come across when it comes to cloud rollouts. In a 1990s-era data center, everything revolves around hardware and virtual machines. Big, monolithic applications are installed and run on servers. Servers themselves run in the private subnet (secure) or public (DMZ), and they have various security agent software installed to monitor and log everything that goes in and out of these machines. 

If you are faced with the financial justification of moving some computing to the cloud, be sure to look past the obvious cost-saving measurements.

IBM and Salesforce recently announced a partnership that would have IBM Watson and Salesforce Einstein work together to analyze CRM data more deeply.

DOCSIS 3.1 has moved into the field en masse.

Salesforce adds Einstein Vision API to train Einstein to recognize photos, support for unstructured data types alongside structured Salesforce data.

Christy Wyatt, Dtex CEO, and Robby Mook, former campaign manager for Hillary Clinton, discuss the DNC hack, real-life consequences of a data breach.

Big-platform, silo-based data infrastructure will be replaced by integrated hardware appliances supporting software-defined hybrid data architectures.

Late last year, Google announced a breakthrough in translating. Dubbed Neural Machine Translation, it let Google's AI-powered engine tackle full sentences instead of just words, giving translations a more natural feel. Now Google is expanding it to a several more languages. Back when it launched, Google's new translator was available for English and just eight other languages, including French, German, Spanish, Portuguese, Chinese, Japanese, Korean, and Turkish. Now it is bringing it to Hindi, Russian, and Vietnamese, with more rolling out in the coming weeks. The new languages are available anywhere Google Translate exists:  iOS and Android apps, on the web at or via Google search, and the Google app.

NoSQL database specialist MongoDB unveiled a new free tier for its MongoDB Atlas database-as-a-service (DaaS) offering on Tuesday. The company also released a utility to support live migration of data to MongoDB Atlas, whether that data is on-premise or in the cloud. "Since we first introduced MongoDB to the community in 2009, we have been laser-focused on one thing — building a technology that gets out of the way of developers and makes them more productive," Eliot Horowitz, CTO and co-founder of MongoDB, said in a statement Tuesday. "Now, with these updates to MongoDB Atlas, we're tearing down more of the barriers that stand between developers and their giant ideas."

In case you missed them, here are some articles from February of particular interest to R users.  Public policy researchers use R to predict neighbourhoods in US cities subject to gentrification. The ggraph package provides a grammar-of-graphics framework for visualizing directed and undirected graphs. Facebook has open-sourced the "prophet" package they use for forecasting time series at scale. A preview of features coming soon to R Tools for Visual Studio 1.0. On the differences between using Excel and R for data analysis. A data scientist suggests a "Gloom Index" for identifying the most depressing songs by the band Radiohead. Catterplots is a package that replaces scatterplot points with cats.

An update to Cisco's HyperFlex systems adds a distributed file system to allow a larger number of enterprise-class workloads on an HCI appliance.

Salesforce is getting into the computer vision business with a new tool designed to let users easily train a custom image recognition system. Einstein Vision, as it's known, allows users to upload sets of images and classify them in a series of categories. After that, the system will create a recognizer based on machine-learning technology that will identify future images fed into it. While Salesforce customers will have to wait a couple weeks before Vision is generally available, the company announced Tuesday that other Einstein features based on machine-learning techniques are live.

Do more sophisticated analytics while streamlining the data prep. This complementary white paper can help you do things faster and more efficiently than other analytics approaches: Ingest data, create variables, and build and deploy analytical models faster. Build, reuse, and combine analytical objects at scale in Hadoop. Automate analytics and achieve more with your data scientists. Many IT and analytics departments have found that their process and resources are constraining them, limiting the value they can create. These limitations are due to… Too many new open-source tools that require manual integration Tools available for Hadoop that don't work end-to-end   Legacy stacks that are outdated and not catching up to modern Big Data Current analytics methodologies that consist of one model, one report, one insight, and one project at a time.  How much time could you save if you industrialized the development of analytics and insights and enabled self-service across the enterprise? 

A survey of IT and business leaders found that 80 percent have had to change daily operations to accommodate the way enterprise software works.

Hewlett Packard Enterprise plans to acquire Nimble Storage, a vendor of all-flash and hybrid flash storage products, for US$1 billion in an effort to pump up its offerings in those areas. Nimble Storage offers converged flash arrays with predictive software for provisioning to speed up storage performance. The offerings will work alongside technology that HPE acquired from 3Par, which also is centered around provisioning. HPE needs to bulk up its storage offerings after cutting ties with EMC, which is now a part of Dell Technologies and dominates enterprise storage. Nimble Storage could be a step toward retaining existing storage customers and enticing new customers to switch over from EMC.

Despite what they'd have you believe, Devs and Ops don't always get along nicely. Instead of pointing fingers, Pepperdata and LinkedIn think data and analytics may be the way to educate and show the impact of code running in production.

This is the second in a series of blogs on analytics and the cloud. We will consider the rise of the Internet of Things (IoT), analytics used on that data and how the cloud can be utilized to drive value out of instrumenting a very wide range of 'things'.

Follow a streetwise CDO as he walks the beat and tries to understand the mystery that is GDPR (the General Data Protection Regulation). Like any good detective, he uncovers the facts about the new regulation and relies on a colorful cast of characters to help him overcome the challenges he is facing. But, watch out! As our intrepid CDO learns, having the answers isn't all it's cracked up to be.

For 40 years, SAS has been the exception to the rule that technology companies don't always make it past the stage of eating their young. As open source technology and cloud-based services invade and expand its space, the company is continuing to double down.

After years of speculation, 2017 appears to be the year when the Internet of Things becomes an ever-present part of our lives. The rise of smart speakers like the Amazon Echo or Google Home and wearables like the Fitbit means that smart objects are making our lives easier. But while there has been plenty of discussion about the smart home, smart technology also has the potential to radically change the workplace.

Confluent, the company behind open source streaming data project Apache Kafka, closes a Series C round that more than doubles its total financing.

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