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Distributed NoSQL databases were designed to scale beyond what relational databases can do. That’s nothing new. But when NoSQL database vendor FoundationDB today announced that latest version 3 database was clocked handling almost 15 million random writes per second, it makes you wonder just how much scalability we might need. The first two releases of the FoundationDB database, which is based on a key-value store engine, maxed out at about 400,000 random writes per second, according to FoundationDB co-founder and Read more…
NoSQL databases have surged in popularity as organizations struggle to serve highly distributed Web applications, but navigating the various types of NoSQL databases and the vendors providing them has proven tricky. Shedding some light on the topic this week with a pair of reports was Forrester Research. The analyst group looked at two types of NoSQL databases in separate Forrester Wave reports, including document-oriented NoSQL databases and key-value NoSQL databases. Graph databases constitute the third type of NoSQL data store Read more…
Big organizations have traditionally run analytics on-site, for a number of reasons, including data security concerns. But the rise of flexible cloud deployment models and the rapid pace of product development are helping cloud offerings to chip away at on-site deployments, especially for analyzing data that originates in the cloud. The IT world has not been the same since Amazon Web Services first took to the Net way back in 2006. Suddenly, a business of any size had an easy Read more…
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.
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.