- Popcorn Time — interview with the creator. All the elements we used already existed and had done so for a long time. But nobody had put them together in an interface that talked to the user in a nice way, said Abad. Very Anonymous approach to software: Who are you going to sue? The first? The second? The third? I did the design. Was it illegal? I didn’t link the various parts together. There is no comprehensive overview of who did what. For we don’t have any business. We don’t have any headquarters or a general manager.
- Slow Chemistry (Nature) — “lazy man’s chemistry”: let a mix of solid reactants sit around undisturbed while they spontaneously transform themselves. More properly called slow chemistry, or even just ageing, the approach requires few, if any, hazardous solvents and uses minimal energy. If planned properly, it also consumes all the reagents in the mix, so that there is no waste and no need for chemical-intensive purification.
- Mapping the Spectrum in the Mission — SDR scanner to make a map of spectrum activity.
- Electronic Noise is Drowning Out the Internet of Things (IEEE Spectrum) — (paraphrasing) increases deployment costs, decreases battery life, creates interference, ruins policies of spectrum allocation, is expensive to trace, and almost impossible stop.
"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…