[Links of the Day] 04/06/2020 : XoR filters, SIMD + Json , Online tracking and publisher's revenues

• Xor Filters :  Xor filters are great as they provide a fast and small version of bloom or cuckoo filter. However, there is some key difference. Xor filters require all the members of the set be provided upfront. While, Bloom filters allow adding members, but not removing them and finally Cuckoo filters allow removing members. So just pick what's best for you.
• SimdJson : nice performance leveraging the CPU feature. However, the lack of support for null entry feel like cheating ( and probably crash with the most common real-life payload)
• Online Tracking and Publishers' Revenues : The authors demonstrate that the use of cookie only represent a 4% increase of revenue vs non-cookie for an advertiser. Which brings question the differential benefit between ad publisher like Google and Facebook vs the advertiser. Bringing into question why should advertiser pay for the loss of privacy that only benefits their platform provider.

[Links of the Day] 21/05/2020 : Aging Bloom Filters, Awesome List of Machine learning Production Library, Large scale data quality management platform

• Age partitioned Bloom Filters : Age-Partitioned Blocked Bloom Filter variant
• Open source libraries to deploy, monitor, version and scale your machine learning : A curated list of open source libraries to deploy, monitor, version and scale your machine learning
• Data Sentinel : Linkedin platform for automatically validating the quality of large-scale data in production environments

Links of the day 20 - 01 - 2015

Today's links 20/01/2015: Bloom filters, #Unikernel, API framework

• Dablooms : scalable, counting bloom filter library [github]
• Performance Evaluation of OSv for Server Applications : where performance matter unikernel can significantly improve your applications performance and stability under load. 
• Swagger: nice API framework