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.
Facebook has open sourced a new embedded database called RocksDB that’s meant to take advantage of all the performance flash has to offer, from right on the application server. It might be a sign of best practices to come. Read more »
Dropbox acquired computer vision startup Anchovi Labs and its Ph.D. founders in September 2012 to very little fanfare. But the skillset they bring could be integral as Dropbox seeks to grow into a platform and competitors like Google and Yahoo beef up their image-recognition capabilities. Read more »
This is a good blog post from Gartner analyst Alessandro Perilli about some of the problems facing vendors selling OpenStack as private-cloud software. You should read it. My two cents: If OpenStack vendors really are at a loss for how to describe their products, perhaps they should look at how the Hadoop market has been able to (seemingly) thrive thanks to a strong community and clear product visions among the vendors involved, beyond the open source code.
You didn’t think all the research Microsoft has done around deep learning was just for show, did you? The company’s deep learning models are now powering voice commands on the Xbox One platform, thanks to a direct connection to Bing. Read more »
The days of the cold call might be gone for salespeople. Actually, the days of the not-too-promising call might soon be gone, too. On Tuesday, a company called InsideSales introduced a new capability that infuses neural network technology (the basis of deep learning) into its products to help identify the best leads and even the best ways to approach them. However, scoring sales leads is becoming the new black. We recently covered a company called Infer that delivers a similar service, and companies such as Intel are even doing some of this internally.
HP released a new version of its Vertica database than easily connects with other systems to bring in unstructured data. It’s a big update for a database based on analytic SQL workloads but that needs to find a way to play with today’s data formats. Read more »
Intel is using big data to improve everything from manufacturing efficiency to sales, and is increasingly looking toward technologies such as Hadoop and machine learning to create new opportunities. Read more »
Anyone wondering how Amazon Web Services is able to roll out so many new features to its cloud platform each year might just want to read the new biography on Amazon CEO Jeff Bezos, whose management style touches everything within the company. Read more »
Cycle Computing CEO Jason Stowe dives deep into the economic and innovative benefits of running massive scientific workloads in the cloud. When researchers aren’t constrained by the systems the can afford, they can ask bigger questions and get better results. Read more »
This post from the New York Times‘ Open blog talks about the architecture and algorithms underpinning its content-personalization engine. Its experience speaks to some larger trends around companies moving from batch to stream processing and to cloud services overall. The Times’ recommendation engine used to rely on MapReduce jobs that ran every 15 minutes, but now relies on a homegrown real-time system. It used to run on Cassandra, but now runs on Amazon’s DynamoDB service.
Finnish researchers have devised an algorithm that accurately determines mobile phone users’ modes of transportation by analyzing data from their phones’ accelerometers. Useful? Absolutely! Annoying? Possibly … Read more »
Amazon Web Services VP and Distinguished Engineer James Hamilton explained during a session at the AWS re:Invent conference how the cloud provider keeps costs as low as possible and innovation as high as possible. It’s all about being the master of your infrastructure. Read more »