- A New Artificial Compound Eye (Robohub) — three hexagonal photodetectors arranged in a triangular shape, underneath a single lens. These photodetectors work together and combine perceived changes in structured light (optic flow) to present a 3D image that shows what is moving in the scene, and in which direction the movement is happening.
- Google’s Defensive Patent Initiative (TechCrunch) — good article, despite TechCrunch origin. Two-tiered program: give away groups of patents to startups with $500k-$20M in revenue, and sell patents to startups.
- Bosun — an open-source, MIT licensed, monitoring and alerting system by Stack Exchange.
- The Rise of Computer-Aided Explanation (Michael Nielsen) — Hod Lipson of Columbia University. Lipson and his collaborators have developed algorithms that, when given a raw data set describing observations of a mechanical system, will actually work backward to infer the “laws of nature” underlying those data. (Paper)
"open source" entries
True SQL queries? Yes. Parquet and other complex data structures? Yes. Drill 1.1 is full of surprises.
Register for the free webcast “Easy, real-time access to data with Apache Drill,” which will be held Thursday, July 30, 2015, at 10 a.m. PT. This panel discussion will explore the major role SQL-on-Hadoop technologies play in organizations.
Big data techniques are becoming mainstream in an increasing number of businesses, but how do people get self-service, interactive access to their big data? And how do they do this without having to train their SQL-literate employees to be advanced developers?
One solution is to take advantage of the rapidly maturing open source, open community software tool known as Apache Drill. Drill is not the first SQL-on-Hadoop tool. It is, however, a new and very sophisticated highly scalable SQL query engine that has been built from the ground up to be appropriate for use even in production settings. Drill extends query capabilities to a variety of new data sources and formats without the requirement for IT intervention that might be expected from a SQL query engine. In short, Drill allows self-exploration of data by providing flexibility along with performance.
As capabilities in the big data world have progressed, our understanding of what is needed for high-performance, enterprise-grade architectures have also increased. A need for a SQL solution for the Hadoop and NoSQL space was recognized fairly early, and it’s not surprising that to meet an urgent need, some of the first tools approached the problem with SQL-like syntax and made compromises that led to limitations in the data sources and formats they could handle well. Read more…
From Pluto flybys to open source in the enterprise to engineering the future, here are key highlights from OSCON 2015.
Experts and advocates from across the open source world assembled in Portland, Ore., this week for OSCON 2015. Below you’ll find a handful of keynotes and interviews from the event that we found particularly notable.
Cracking open the IoT
In an interview at OSCON, Alasdair Allan, director at Babilim Light Industries, talked about the data coming out of the New Horizons Pluto flyby, the future of “personal space programs,” and the significance of Bluetooth LE to the Internet of Things:
Now that all the smartphones have Bluetooth LE — or at least the modern ones, there is a very easy way to produce low-power devices (wearables, embedded sensors) that anyone can access with a smartphone. … It’s a real lever to drive the Internet of Things forward, and you’re seeing a lot of the progress in the Internet of Things, a lot of the innovation, is happening — especially in Kickstarter — around BLE devices.
Finding new ways to shrink disk space for storing partitionable data.
Register for the free webcast, “Extending Cassandra with Doradus OLAP for High Performance Analytics,” which will be held July 29 at 9 a.m. PT.
Engineers at Dell were developing customer apps when they found that the query response times their customers were demanding — something on the order of seconds (in other words, the need to scan millions of objects/second) — required a new type of query engine. This led them on a four-year journey to create Doradus, one of Dell Software Group’s first open-source projects.
Doradus is a server framework that runs on top of Cassandra. To build Doradus, the team borrowed from several well-accepted paradigms. They used traditional OLAP techniques to allow data to be arranged into static, multidimensional cubes. They leveraged the vertical orientation and efficient compression of columnar databases. And, from the NoSQL world, they employed sharding. The result: a storage and query engine called Doradus OLAP that stores data up to 1M objects/second/node, providing nearly real-time data warehousing. This architecture also allows for extreme compression of the data, sometimes producing up to a 99% reduction in space usage.
This extremely dense storage means that data that once took multiple nodes can now be stored on a single node, allowing for fast queries without the expense of a large cluster. Because Doradus is built on top of Cassandra, the option to scale out is still there. This allows for sharding and replication, and also takes advantage of Cassandra’s failover features. Read more…