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The new Fire phone that Amazon launched this week looks like your ordinary black smartphone, with a bright 4.7-inch screen, sharp 1080p camera, and stereo speakers. But this little device does some stuff that Google and Apple haven’t tried yet in the area of text, sound, and image recognition on a massive scale. From a big data point of view, the most interesting bit about Fire is the Firefly function. To use this function, users point their camera at some Read more…
An axiom of big data say that, as data volume and complexity grows, it becomes harder for organizations to extract meaning from the data. One solution to this dilemma that is gaining momentum is data blending, which provides a new real-time, analytics-oriented twist on the batch-oriented ETL data integration processes of old.
What if you had a machine that could predict what people will be talking about on the Internet over the next three days. How would you use that information? The folks at Blab say they have created such a machine, and the way its customers are using it might surprise you.
There is a lot of debate in the big data space about tools and technology, and which ones are best. Is SQL better than NoSQL? Hadoop or Spark? What about R or Python? Of course no single tool or technology is the best for all situations, and you would do well to pick the right tool or technology for the job at hand.
Four years ago Netflix made the decision to move all of its data processing–everything from NoSQL and Hadoop to HR and billing–into the cloud. While going “cloud native” on Amazon Web Services hasn’t been without its challenges, the move has benefited Netflix in multiple and substantial ways. Here are 10 tips from Netflix on making the cloud work.
News In Brief
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. Last week, Gartner for the first time accepted non-relational technologies–including those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data Warehouses report.
Among Hadoop distributors, MapR Technologies’ product offering is the strongest, Amazon Web Services has the biggest Hadoop market presence, and IBM and Pivotal Software have the best market strategy, according to a new Forrester Wave report released yesterday that slices and dices the Hadoop market and analyzes the various Hadoop product offerings and business strategies.
Do you have a need for speed in your data warehouse? In January, Amazon rolled out a new version of its Redshift online data store that’s powered by solid state disks (SSD). According to benchmarks, the Dense Compute Nodes proved anywhere from four to eight times faster than the traditional nodes, at the same price level.
The Hadoop architecture may appear simple at first, but it’s deceptively complex and may lull you into a false sense of security as you try to scale your cluster. If you run Hadoop on Amazon Elastic MapReduce, there are a number of potentially wallet-draining performance issues to keep an eye on. This week, Compuware launched an Amazon-resident solution to help prevent EMR jobs from running amok.
To learn more about the launch of Amazon’s “anticipatory shipping” functionality, I went to Google, which knows more about me than I care to admit. As I started typing in the words “Amazon anticipa…” Google already knew what I was looking for: “The Anticipatory Corpse,” a book from University of Notre Dame Press about the demise of dying in America.
This Just In
Datawatch Corporation, the leading global provider of visual data discovery solutions, today announced that its next-generation analytics software is now available on AWS Marketplace. Customers using Datawatch on Amazon Web Services (AWS) can enable visual data discovery on any type of data, regardless of size and structure, at real-time speeds.
At the Amazon Web Services (AWS) re:Invent conference, Tableau Software, a global leader in rapid-fire, easy-to-use business analytics software, announced an expansion in its work with AWS with official support for Tableau Server running on the AWS cloud platform, connecting to Amazon Relational Database Service (RDS) and a new Tableau integrated data connector to Amazon Redshift.