fhoffa

11 ms·

121.
BigQuery public datasets now include Stack Overflow Q&A(cloud.google.com)
190 points by fhoffa 10y ago|33 comments
122.
by fhoffa 10y ago
(I WORK FOR GOOGLE) James Watters, Pivotal SVP says they saved 50% by moving from AWS to Google Cloud. For an 8 figures bill, that's a lot. He said this 2 days ago at re:invent, FWIW. - https://twitter.com/felipehoffa&#
123.
by fhoffa 10y ago
Note that BigQuery has been able to read files straight from GCS, Drive, and even Google Spreadsheets for a while: https://cloud.google.com/bigquery/federated-data-sources (I'm Felipe Hoffa and I work for Google
124.
by fhoffa 10y ago
"Which version of webp should Firefox support?": libwebp Track the implementation here: https://bugzilla.mozilla.org/show_bug.cgi?id=1294490 Build with '--with-system-webp': https://bugzilla.m
125.
by fhoffa 10y ago
That's an old, closed reddit post. They have been actually actively implementing .webp support since August: https://bugzilla.mozilla.org/show_bug.cgi?id=1294490
126.
by fhoffa 10y ago
I could ask - but then I wouldn't be able to publish unpublished numbers on my own (if I want to keep my job). :)
127.
by fhoffa 10y ago
This post tells the "History of massive-scale sorting experiments at Google" - https://cloud.google.com/blog/big-data/2016/02/history-of-ma... When I asked why BigQuery doesn't do these so
128.
by fhoffa 10y ago
Why do you want to scrape reddit? If you want comments and posts, they are already shared. For example, in BigQuery: https://www.reddit.com/r/bigquery/comments/3cej2b/17_billion...
129.
Hillary only needed to switch 53,650 voters to win(medium.com)
14 points by fhoffa 10y ago|11 comments
130.
What countries have more open source developers per capita than the US?(medium.com)
2 points by fhoffa 10y ago|0 comments
131.
by fhoffa 10y ago
I checked for the most popular extensions! But I can go deeper too :)
132.
by fhoffa 10y ago
Posting this 4 days later, what happened next: http://www.businessinsider.com/google-cloud-won-skeptic-afte... Google then shocked him again, in a good way. Within four hours of tweeting, someone from Google had contacted
133.
Using Wikidata+Wikipedia+BigQuery to visualize the DNC and RNC 2016 conventions(medium.com)
4 points by fhoffa 10y ago|0 comments
134.
Analyzing 281,212 Docker Projects on GitHub with BigQuery(blog.javabien.net)
2 points by fhoffa 10y ago|0 comments
135.
The conventions visualized with Wikipedia+Wikidata+BigQuery(fhoffa.github.io)
2 points by fhoffa 10y ago|0 comments
136.
Analyzing GitHub issues and comments with BigQuery(medium.com)
1 points by fhoffa 10y ago|0 comments
137.
by fhoffa 10y ago
Nice! You might be alyso interested to know that PyPI download stats are also available in BigQuery: https://mail.python.org/pipermail/distutils-sig/2016-May/028... (project recently unveiled by Donald Stufft
138.
Static JavaScript code analysis inside a SQL query: JSHint+GitHub+BigQuery(medium.com)
1 points by fhoffa 10y ago|0 comments
139.
by fhoffa 10y ago
GitHub licenses API https://developer.github.com/v3/licenses/
140.
by fhoffa 10y ago
Weekly for now (fingers crossed)
141.
by fhoffa 10y ago
I'm compiling all links and tips I can find at: - https://medium.com/@hoffa/github-on-bigquery-analyze-all-the... The Changelog also invited us to record podcast with Arfon Smith (GitHub), Will Curran (Google), an
142.
All the open source code in GitHub now shared in BigQuery: Analyze all the code(medium.com)
11 points by fhoffa 10y ago|0 comments
143.
Here’s the data that told us Bernie Sanders would lose(washingtonpost.com)
11 points by fhoffa 10y ago|0 comments
144.
by fhoffa 10y ago
Thanks for sharing Anton! Fixing the link for mobile: (GitHub doesn't render the link) - http://nbviewer.jupyter.org/github/antontarasenko/gpq/blob/m... Some quick charts with DataStudio ( https:&#x
145.
Comparing BigQuery/Hadoop/Elastic/Presto/Redshift/Spark/AWS/Dataproc(cloud.google.com)
2 points by fhoffa 10y ago|0 comments
146.
Big data and the elections: Reddit, Twitter, news, wikipedia, funding, expenses…(medium.com)
2 points by fhoffa 10y ago|0 comments
147.
by fhoffa 10y ago
Disclaimer: I am Felipe Hoffa ( https://twitter.com/felipehoffa ) and I work for Google Cloud. Mark Lit is running a really impressive series of posts benchmarking big data platforms. So far BigQuery has been the simplest and
148.
10 times faster with 50 nodes: Querying Presto+AWS: 44secs. Presto+GCP: 4secs(tech.marksblogg.com)
8 points by fhoffa 10y ago|1 comments
149.
by fhoffa 10y ago
BigQuery is faster than anything else I've seen. Why switch to what everyone else is using then? (See http://tech.marksblogg.com/billion-nyc-taxi-rides-bigquery.h... vs all other benchmarks for the same dataset Mark go
150.
Capacitor, BigQuery’s next-generation columnar storage format(cloud.google.com)
133 points by fhoffa 10y ago|14 comments

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