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Felipe Hoffa
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Felipe Hoffa

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The next generation of applications won’t just store images. They’ll actually understand them thanks to models like the one we’re releasing today. Our Cloud Vision API uses machine learning to classify images into thousands of categories, detect objects (and facial features), and even identify language. We’re excited to see what you build with it: http://goo.gl/RfEFv0
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Lablanche & company price: 1 billion of dollards
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All of Hacker News now on BigQuery!

https://github.com/fhoffa/notebooks/blob/master/analyzing%20hacker%20news.ipynb

Time to analyze - 8 million comments, 2 million posts.
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Simple but very powerful new feature: write your own functions that can be used in BigQuery queries like built-in ones.
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All the NYC Taxi Trips: Now officially shared by the NYC TLC, up-to-date (June 2015) data

https://www.reddit.com/r/bigquery/comments/3fo9ao/nyc_taxi_trips_now_officially_shared_by_the_nyc/
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Saving the world - making your Minecraft server better with +Google Cloud Platform persistent storage and +Docker data volumes

See how to use persistent disks with Docker containers and learn how to schedule regular snapshots to safeguard your Minecraft world. Enjoy!
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Felipe Hoffa

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I had a great time presenting in Hanoi and HCMC!
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17 governments adopted the new International Open Data Charter
http://opendatacharter.net/

US and Japan did not adopt :(
http://opendatacharter.net/adopted-by-countries-and-cities-2/

The Open Data Charter: A Roadmap for Using a Global Resource
http://www.huffingtonpost.com/joel-gurin/the-open-data-charter-a-r_b_8391470.html

1. Open by Default. Making government data "open by default," as many governments are starting to do, is a paradigm shift for how we treat government information. Under typical freedom-of-information laws, which have been enacted in more than 100 countries, citizens have the right to ask the government to give them documents and data. But to exercise this right, you have to know what you are looking for, where to find it, and how to submit a request. "Open by default" cuts through that cumbersome process by making government information automatically available to everyone, with exceptions for information that could breach privacy protections or threaten national security.

2. Timely and Comprehensive. Many governments are experimenting with new ways to make their data more timely and thus more valuable. They're supplementing their own data collections with data provided by citizens through crowdsourcing, data from mobile phone companies, and other sources. This gives them real-time data that can be used to analyze traffic and commuting patterns, track the spread of infectious disease, flag spikes in food or commodity prices, and more.

3. Accessible and Usable. Some 45 countries have launched centralized portals for their data, making it much easier to find, access, and use. The EU is building a centralized data portal for its members as well. In addition, government agencies are increasingly releasing data in machine-readable form, meaning that it can be put directly into a computer for analysis. This is a major improvement from keeping public data in paper files in government offices -- or even posting copies of those documents online, which makes them more accessible but still very hard to analyze.

4. Comparable and Interoperable. Data has a multiplier effect: Each dataset becomes much more valuable if it can be combined with others (meaning that those datasets are "interoperable"). Real estate websites, for example, need data in comparable formats to be able to put together a full picture of a neighborhood including housing prices, crime rates, school quality, access to public services, and other factors. On a more complex level, interoperability can make it possible to analyze the relationship between climate change and health trends, integrate data on federal spending from many different agencies, or analyze a host of factors that can impact national security. While interoperability is still a major challenge, there's growing agreement that international data standards -- particularly for widely used sources like geospatial data -- can open up new opportunities to combine or compare datasets for new insights.

5. For Improved Governance and Citizen Engagement. Open government data is advancing the cause of good government in many parts of the world. For example, Brazil's Transparency Portal, which launched with modest goals in 2004, now helps citizens oversee more than $12 trillion in federal spending -- everything from the funding of the World Cup to elected officials' credit card records. A growing global movement toward open contracting is now working to make government procurement open and transparent, to fight corruption and improve government efficiency.

6. For Inclusive Development and Innovation. The new Sustainable Development Goals, adopted at the U.N. General Assembly in September, set out an ambitious agenda for worldwide development and innovation over the next 15 years. The 17 Goals set targets for ending poverty, fighting hunger, achieving gender equality and improving the lives of the world population in many other profound ways. As my colleagues and I wrote recently , open data has a role to play in each of these goals and can be a powerful resource for governments working to achieve them.

#ogp15
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Felipe Hoffa

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BigQuery JavaScript User Defined Functions finally available for everyone! Also see a video we taped last year while the BigQuery JS UDF were being developed: https://www.youtube.com/watch?v=6TYA6hy44Jo
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Also released plenty of new features (UDFs, GCS file reading, > quota, UI, no more EACH, speed, slots, high compute pricing)

http://googlecloudplatform.blogspot.com/2015/08/Google-BigQuery-adds-UDF-support-for-deeper-cloud-analytics.html
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All the NYC Taxi Trips: Now officially shared by the NYC TLC, up-to-date (June 2015) data

https://www.reddit.com/r/bigquery/comments/3fo9ao/nyc_taxi_trips_now_officially_shared_by_the_nyc/
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When people write "Big Query" I'm all like  (#BigQuery)
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So "BigQuery" is right, but "AppEngine" is wrong? You cloud people are confusing.
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Have them in circles
3,225 people
Jamie Barahona's profile photo
Ari Dukes's profile photo
Antonio Bustamante Mirayo's profile photo
Gabriel Garcia's profile photo
Antonio Le Donne (ledo)'s profile photo
Aygul Zagidullina's profile photo
Curti aqui's profile photo
geek and chic (geekandchic)'s profile photo
Dina Loreto Langenbach sepúlveda's profile photo
Work
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Developer Advocate
Employment
  • Google
    Developer Advocate, 2013 - present
  • Google
    Software engineer, 2011 - present
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From Chile. Working at Google. Living in San Francisco.
Bragging rights
"I find a duck's opinion of me is very much influenced by whether or not I have bread." --MH