- 100 Big Data Architecture Papers (Anil Madan) — you’ll either find them fascinating essential reading … or a stellar cure for insomnia.
- Software Companies Leaving UK Because of Government’s Surveillance Plans (Ars Technica) — to Amsterdam, to NYC, and to TBD.
- MapD: Massive Throughput Database Queries with LLVM and GPUs (nvidia) — The most powerful GPU currently available is the NVIDIA Tesla K80 Accelerator, with up to 8.74 teraflops of compute performance and nearly 500 GB/sec of memory bandwidth. By supporting up to eight of these cards per server, we see orders-of-magnitude better performance on standard data analytics tasks, enabling a user to visually filter and aggregate billions of rows in tens of milliseconds, all without indexing.
- Why It’s Often Easier to Innovate in China than the US (Bunnie Huang) — We did some research into the legal frameworks and challenges around absorbing gongkai IP into the Western ecosystem, and we believe we’ve found a path to repatriate some of the IP from gongkai into proper open source.
The O'Reilly Radar Podcast: Pilgrim Beart on the scale, challenges, and opportunities of the IoT.
Subscribe to the O’Reilly Radar Podcast to track the technologies and people that will shape our world in the years to come.
In this week’s Radar Podcast, O’Reilly’s Mary Treseler chatted with Pilgrim Beart about co-founding his company, AlertMe, and about why the scale of the Internet of Things creates as many challenges as it does opportunities. He also talked about the “gnarly problems” emerging from consumer wants and behaviors.
Key insights from Strata + Hadoop World 2015 in London.
People from across the data world came together this week for Strata + Hadoop World 2015 in London. Below we’ve assembled notable keynotes, interviews, and insights from the event.
Shazam already knows the next big hit
“With relative accuracy, we can predict 33 days out what song will go to No. 1 on the Billboard charts in the U.S.,” says Cait O’Riordan, VP of product for music and platforms at Shazam. O’Riordan walks through the data points and trendlines — including the “shape of a pop song” — that give Shazam hints about hits.