Making it Easier to Use M-Lab Data
In January, M-Lab launched a beta test of new BigQuery tables for M-Lab data. Today, M-Lab is pleased to announce that the beta test was successful. The new, faster-performing tables will be M-Lab’s new standard BigQuery tables.
Before we move on to specifics, when we say faster performing, we mean a lot faster. As in, certain queries that used to take over 2 hours now complete in 8 seconds. That means that playing with the data just became a lot more fun.
To help users dig in to this data as quickly and seamlessly as possible, M-Lab has consolidated all of its data documentation and updated it to show how to take advantage of the new tables.
Announcing improved performance for M-Lab BigQuery data
Today, M-Lab is happy to announce the public beta of new M-Lab BigQuery tables. These tables provide substantially improved performance and reduce the difficulty of writing BigQuery SQL.
New Opportunities for Test Deployment and Continued Analysis of Interconnection Performance
Data Duplication Bug in M-Lab BigQuery Data
The team working on archiving M-Lab data recently discovered that the M-Lab data hosted in BigQuery was affected by a bug that caused duplicates to appear in our dataset. Queries against M-Lab’s BigQuery dataset performed between May 2014 and April 2015 were impacted. The raw files in our Google Cloud Storage bucket were not.
Internet Observatory Updates and Improvements
Last October, Measurement Lab released the Internet Observatory, a data-visualization tool that enables consumers, policymakers, and researchers to better understand the impact of ISP relationships on Internet access and performance. The Observatory provides easier access to M-Lab’s rich dataset on network performance to reproduce the analysis in our report on “ISP Interconnection and its Impact on Consumer Internet Performance.”