Calxeda’s restructuring was a blow to the ARM-processor-based server market, but hardly a fatal one. While Calxeda started its life trying to build systems using 32-bit chips, there’s a whole new market shaping up around 64-bit versions set to debut in 2014. Read more »
The holidays are coming, but it was still a fairly busy week in the IT world. Barb Darrow and Derrick Harris break down all the news on this week’s Structure Show. Read more »
Google’s Transparency Reports get a lot of attention for their data on government action, but less so for their insights into copyright takedown requests. I analyzed nearly 1 million takedown requests to find out who’s getting the most URLs removed. Read more »
IDC has released its forecast for the big data market and predicts it will grow to $32.4 billion by 2017, at a compound annual growth rate of 27 percent. The fastest-growing segment will be cloud infrastructure, which IDC predicts will grow at 49 percent per year. Last year, IDC predicted a $23.8 billion market by 2016 at a CAGR of 31.7 percent. It also predicted the storage would be the fastest-growing segment at 53.4 percent. The research firm acknowledges the changes and attributes them (and other changes in methodology) to fluidity in a new, fast-moving market — a fair point and a smart decision if the company wants its forecast to remain relevant.
IBM is acquiring Aspera, a specialist in sending big files over the internet . The company’s technology is used by everyone from movie studios to genetic researchers, and it recently launched a Dropbox-for-business-style synchronization service. Read more »
Datameer, one of the first companies to offer software for easily analyzing data stored in Hadoop (it lets users use a spreadsheet interface to work with data), has raised a $19 million series D round of venture capital. Next World Capital led the round, which also included its existing investors and Workday, Citi Ventures and Software AG. Datameer has proven pretty resilient even as other early Hadoop-ecosystem startups have suffered, in part I assume because it been proactive on product design — it was quick to adopt HTML5 and add advanced visualization options — and getting the product in potential users’ hands via single-node and laptop versions of the product.
For banking startup LendUp, personalization is a matter of survival. As a lender to the underbanked that doesn’t charge late fees, LendUp needs to get the right data and design the right experience to ensure it gets paid. Read more »
Cloud-based application performance and security specialist CloudFlare finally announced on Tuesday that it closed a $50 million funding round in December 2012, but the real story is about the company’s rapid growth and how it’s rethinking its infrastructure to support all that traffic. Read more »
While much of the talk around data the past few years has been about how much we can store and what we can learn from it, the future — and this year’s Structure Data conference — is about what we can do with data. Read more »
The service, announced in November as a tool for customers who want to process data in a timely fashion, gives Amazon a rival to Apache Storm. Read more »
Violin Memory CEO Don Basile has been terminated amid a spate of class-action lawsuits, a tumbling stock price and concerns over his compensation. He is being replaced on an interim basis by the chairman of Violin’s board of directors. Read more »
Michael Stonebraker has helped create a lot of database systems and has lots of thoughts about where the industry is headed. Oracle, SAP, NoSQL, NewSQL — they all have a place if they play their cards right, but some might have a harder time than others. Read more »
Hadoop is popular and so is cloud computing, so it comes as no surprise that a battle would break out to establish the best place for running Hadoop. Lately, Google has been scoring some victories on the user side. Read more »
Amazon Web Services doesn’t have enough capacity to handle demand for its new C3 instances, which has led to a rush order of new servers. In almost any other scenario, that would mean a big payday for someone like Dell or HP. Read more »
A new algorithm out of the University of California, San Diego, is getting better at predicting what subculture, or “urban tribe,” people belong to by learning what visual features usually accompany goths, bikers, surfers and others in online photos. Read more »
A group of Stanford machine learning students has created a new service for analyzing and classifying passages of text. But the highlight is an easy-to-use feature for classifying whether tweets are positive, negative or neutral in tone. Read more »
Publishing analytics startup Parse.ly has released a report highlighting the top screen sizes on which its customers’ readers are consuming news content. Desktops and laptops still dominate overall, but Apple is king of the mobile devices. Read more »
Another day, another set of choice words hurled at one Hadoop vendor by another. This time, it’s Hortonworks doing the hurling, claiming that Cloudera’s business model isn’t designed for today’s big data market. Read more »
O’Reilly Radar has a useful post from Jetpac CTO Pete Warden on how his company, which offers a visual guide to popular places, uses Amazon EC2, Hadoop and an open source computer-vision program called OpenCV to analyze Instagram images. It’s amazing how pervasive cloud computing and big data technologies have become, and how fast they’ve evolved consumers’ expectations of what an application should be. The bad news is developers need to get smart on how to process lots of data,. The good news is the tools to do it are getting less expensive by the day.
DataHero, a startup targeting individuals who want an analytics experience much simpler than what most BI software can provide, has raised an extended seed round of $3.15 million and has redesigned its product based on behavioral analysis. Read more »
Netflix has open sourced a tool called Suro that collects event data from disparate application servers before sending them to other data platforms such as Hadoop and Elasticsearch. It’s more big data innovation that hopefully finds its way into the mainstream. Read more »
Facebook has hired deep learning expert Yann Lecun from New York University to head up its new artificial intelligence lab. It’s part of a bigger push along with — and against — companies like Google and Microsoft to advance research while improving their platforms. Read more »
Parse.ly Co-founder and CTO Andrew Montalenti shares his views on how startups can best keep their costs down and options open by using cloud computing wisely. But it’s a fast-moving market, so they have to keep abreast of what’s happening. Read more »
The New York Times has a new online tool and Twitter feed that analyzes every fourth down in every game and gives its analysis in real time. Fans, commentators and even bosses have yet another means by which to second guess coaches’ decisions. Read more »
If collaboration favorite Box is going to grow into its ambitions, it has to do more than just raise lots of venture capital. It also must build a more intelligent product, which is something dLoop co-founder Divya Jain will now focus her energy on doing. Read more »
Quasi-secret intelligence-software startup Palantir is reportedly in the process of raising more than $100 million at a $9 billion valuation. That says a lot about the value of its technology, which isn’t cloud-based or consumerized, but does what it does very well. Read more »
Data-munging specialist Trifacta has raised another $12 million for its mission to speed the process of going from raw data to usable data. As data volumes and types keep piling up, faster tools will mean a lot less wasted time. Read more »
Following on the heels of Apple buying Topsy, fellow Twitter-specialist DataSift has announced a $42 million round of venture capital financing. Read more »
A new algorithm from University of Toronto researchers can predict the identity of untagged photo subjects by analyzing the relationships of the other people (or things) in the photo. Read more »
Google probably does need to become feature-competitive with AWS sooner rather than later, but that doesn’t mean it necessarily needs to match AWS tit for tat. Maybe being Google will actually pay off in the end. Read more »
The tech world is wondering how Apple plans to utilize the assets it acquired by buying Topsy, which focuses on collecting and analyzing Twitter data. I suspect Apple is trying to fill a big data void in its platform battle against Google. Read more »
Netflix is now running its streaming service live across two regions of the Amazon Web Services cloud platform, an architectural decision that should avoid a nasty service disruption like the one that struck last Christmas Eve. Read more »
Yahoo has acquired SkyPhrase and will incorporate the team into Yahoo Labs. SkyPhrase had built a natural-language processing platform that returned relevant statistics in response to search queries entered using everyday language. Read more »
Cloud platform provider Tier3 recently went from being a 60-person startup to part of a deep-pocketed telco with 55 data centers around the world. Here’s where Tier3 founder and now CenturyLink cloud CTO Jared Wray sees opportunities for startups and telcos alike. Read more »
The tech world is still enthralled by Yahoo, if only to watch if the CEO du jour can remake what was a hugely important company. Here, four former Yahoo technology executives talk about why the company failed, and the great work it did while doing so. Read more »
This is an interesting (and pretty funny) post from MailChimp data scientist John Foreman about analyzing email addresses. For example, Gmail and Hotmail are similar in terms of number and age of users (although possibly for different reasons), as well as preferred browser. AOL and Comcast email users, on the other hand, are older and interested in way different things than Gmail users. Oh, and a surprising number of people still use the AOL browser.
A Japanese project aimed at creating a computer system smart enough to pass the University of Tokyo entrance exam scored above average on a recent test run of sample math questions, highlighting some its progress as well as some problems. Read more »
The platform-as-a-service market hasn’t caught on was wildly as some anticipated a few years ago, and Apprenda CEO Sinclair Schuller has some ideas why that it is. He says his PaaS company is killing it because it made some smart — and prudent — decisions. Read more »
Alpine Data Labs, a San Francisco-based startup that has its roots in Greenplum, has raised a $16 million series B round of venture capital from Sierra Ventures, Mission Ventures, UMC Capital and Robert Bosch Venture Capital. The company touts its usefulness even to non-data scientists, who can create visual analytic workflows without having to write code as with a program like R. Additionally, Alpine analyzes data within the the database (or Hadoop) itself, so users don’t have to bother themselves with sampling or moving data.