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GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs
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GDD Brazil 2010 - Google Storage, Bigquery and Prediction APIs

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Google is expanding our storage products by introducing Google Storage for Developers. It offers a RESTful API for storing and accessing data at Google. Developers can take advantage of the …

Google is expanding our storage products by introducing Google Storage for Developers. It offers a RESTful API for storing and accessing data at Google. Developers can take advantage of the performance and reliability of Google's storage infrastructure, as well as the advanced security and sharing capabilities. We will demonstrate key functionality of the product as well as customer use cases. Google relies heavily on data analysis and has developed many tools to understand large datasets. Two of these tools are now available on a limited sign-up basis to developers: (1) BigQuery: interactive analysis of very large data sets and (2) Prediction API: make informed predictions from your data. We will demonstrate their use and give instructions on how to get access.

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  • 1. Google Storage, Bigquery and Prediction APIs Patrick Chanezon, Developer Advocate, Cloud @chanezon, chanezon@google.com Sao Paulo, October 29th 2010 Developer DayGoogle 2010 Friday, October 29, 2010
  • 2. Mobile Agenda for GDD http://bit.ly/mgddbr Developer DayGoogle 2010 Friday, October 29, 2010
  • 3. Developer DayGoogle 2010 Agenda • Google Storage for Developers • Prediction API • BigQuery Friday, October 29, 2010
  • 4. What is cloud computing? Infrastructure… Platform… Software… … as a Service Friday, October 29, 2010
  • 5. What is cloud computing? Place Postage Here IaaS PaaS SaaS Infrastructure… Platform… Software… …asaService Friday, October 29, 2010
  • 6. Developer DayGoogle 2010 Google Storage Prediction API BigQuery 1. Google Apps 2. Third party Apps: Google Apps Marketplace 3. ________ 5 Google App Engine IaaS PaaS SaaS Google's Cloud Offerings Friday, October 29, 2010
  • 7. Developer DayGoogle 2010 Google Storage Prediction API BigQuery Your Apps 1. Google Apps 2. Third party Apps: Google Apps Marketplace 3. ________ 5 Google App Engine IaaS PaaS SaaS Google's Cloud Offerings Friday, October 29, 2010
  • 8. Developer DayGoogle 2010 Google Storage for Developers Store your data in Google's cloud Friday, October 29, 2010
  • 9. Developer DayGoogle 2010 What Is Google Storage? • Store your data in Google's cloud o any format, any amount, any time • You control access to your data o private, shared, or public • Access via Google APIs or 3rd party tools/libraries Friday, October 29, 2010
  • 10. Developer DayGoogle 2010 Sample Use Cases Static content hosting e.g. static html, images, music, video Backup and recovery e.g. personal data, business records Sharing e.g. share data with your customers Data storage for applications e.g. used as storage backend for Android, App Engine, Cloud based apps Storage for Computation e.g. BigQuery, Prediction API Friday, October 29, 2010
  • 11. Developer DayGoogle 2010 Google Storage Benefits High Performance and Scalability Backed by Google infrastructure Strong Security and Privacy Control access to your data Easy to Use Get started fast with Google & 3rd party tools Friday, October 29, 2010
  • 12. Developer DayGoogle 2010 Google Storage Technical Details • RESTful API  o Verbs: GET, PUT, POST, HEAD, DELETE  o Resources: identified by URI o Compatible with S3  • Buckets  o Flat containers, i.e. no bucket hierarchy   • Objects  o Any type o Size: 100 GB / object • Access Control for Google Accounts  o For individuals and groups • Two Ways to Authenticate Requests  o Sign request using access keys  o Web browser login Friday, October 29, 2010
  • 13. Developer DayGoogle 2010 Performance and Scalability • Objects of any type and 100 GB / Object • Unlimited numbers of objects, 1000s of buckets • All data replicated to multiple US data centers • Leveraging Google's worldwide network for data delivery • Only you can use bucket names with your domain names • “Read-your-writes” data consistency • Range Get Friday, October 29, 2010
  • 14. Developer DayGoogle 2010 Security and Privacy Features • Key-based authentication • Authenticated downloads from a web browser • Sharing with individuals • Group sharing via Google Groups • Access control for buckets and objects • Set Read/Write/List permissions Friday, October 29, 2010
  • 15. Developer DayGoogle 2010 Tools Google Storage Manager gsutil Friday, October 29, 2010
  • 16. Developer DayGoogle 2010 Google Storage usage within Google Haiti Relief Imagery USPTO data Partner Reporting Google BigQuery Google Prediction API Partner Reporting Friday, October 29, 2010
  • 17. Developer DayGoogle 2010 Some Early Google Storage Adopters Friday, October 29, 2010
  • 18. Developer DayGoogle 2010 Google Storage - Pricing o Storage $0.17/GB/Month o Network Upload - $0.10/GB Download $0.30/GB APAC $0.15/GB Americas / EMEA o Requests PUT, POST, LIST - $0.01 / 1,000 Requests GET, HEAD - $0.01 / 10,000 Requests Friday, October 29, 2010
  • 19. Developer DayGoogle 2010 Google Storage - Availability • Limited preview in US* currently o 100GB free storage and network per account o Sign up for wait list at o http://code.google.com/apis/storage/ * Non-US preview available on case-by-case basis Friday, October 29, 2010
  • 20. Developer DayGoogle 2010 Google Storage Summary • Store any kind of data using Google's cloud infrastructure • Easy to Use APIs • Many available tools and libraries o gsutil, Google Storage Manager o 3rd party: Boto, CloudBerry, CyberDuck, JetS3t, … Friday, October 29, 2010
  • 21. Developer DayGoogle 2010 Google Prediction API Google's prediction engine in the cloud Friday, October 29, 2010
  • 22. Developer DayGoogle 2010 Introducing the Google Prediction API • Google's sophisticated machine learning technology • Available as an on-demand RESTful HTTP web service Friday, October 29, 2010
  • 23. Developer DayGoogle 2010 "english" The quick brown fox jumped over the lazy dog. "english" To err is human, but to really foul things up you need a computer. "spanish" No hay mal que por bien no venga. "spanish" La tercera es la vencida. ? To be or not to be, that is the question. ? La fe mueve montañas. 2. PREDICT The Prediction API later searches for those features during prediction. How does it work? 1. TRAIN The Prediction API finds relevant features in the sample data during training. Friday, October 29, 2010
  • 24. Developer DayGoogle 2010 Customer Sentiment Transaction Risk Species Identification Message Routing Legal Docket Classification Suspicious Activity Work Roster Assignment Recommend Products Political Bias Uplift Marketing Email Filtering Diagnostics Inappropriate Content Career Counseling Churn Prediction ... and many more ... A virtually endless number of applications... Friday, October 29, 2010
  • 25. Developer DayGoogle 2010 Automatically categorize and respond to emails by language • Customer: ACME Corp, a multinational organization • Goal: Respond to customer emails in their language • Data: Many emails, tagged with their languages • Outcome: Predict language and respond accordingly A Prediction API Example Friday, October 29, 2010
  • 26. Developer DayGoogle 2010 Using the Prediction API 1. Upload 2. Train Upload your training data to Google Storage Build a model from your data Make new predictions3. Predict A simple three step process... Friday, October 29, 2010
  • 27. Developer DayGoogle 2010 Upload your training data to Google Storage • Training data: outputs and input features • Data format: comma separated value format (CSV), result in first column "english","To err is human, but to really ..." "spanish","No hay mal que por bien no venga." ... Upload to Google Storage gsutil cp ${data} gs://yourbucket/${data} Step 1: Upload Friday, October 29, 2010
  • 28. Developer DayGoogle 2010 Create a new model by training on data To train a model: POST prediction/v1.1/training?data=mybucket%2Fmydata Training runs asynchronously. To see if it has finished: GET prediction/v1.1/training/mybucket%2Fmydata {"data":{ "data":"mybucket/mydata", "modelinfo":"estimated accuracy: 0.xx"}}} Step 2: Train Friday, October 29, 2010
  • 29. Developer DayGoogle 2010 Apply the trained model to make predictions on new data POST prediction/v1.1/query/mybucket%2Fmydata/predict { "data":{ "input": { "text" : [ "J'aime X! C'est le meilleur" ]}}} Step 3: Predict Friday, October 29, 2010
  • 30. Developer DayGoogle 2010 Apply the trained model to make predictions on new data POST prediction/v1.1/query/mybucket%2Fmydata/predict { "data":{ "input": { "text" : [ "J'aime X! C'est le meilleur" ]}}} { data : { "kind" : "prediction#output", "outputLabel":"French", "outputMulti" :[ {"label":"French", "score": x.xx} {"label":"English", "score": x.xx} {"label":"Spanish", "score": x.xx}]}} Step 3: Predict Friday, October 29, 2010
  • 31. Developer DayGoogle 2010 Apply the trained model to make predictions on new data import httplib # put new data in JSON format params = { ... } header = {"Content-Type" : "application/json"} conn = httplib.HTTPConnection("www.googleapis.com")conn.reques t("POST", "/prediction/v1.1/query/mybucket%2Fmydata/predict", params, header) print conn.getresponse() Step 3: Predict Friday, October 29, 2010
  • 32. Developer DayGoogle 2010 Data • Input Features: numeric or unstructured text • Output: up to hundreds of discrete categories Training • Many machine learning techniques • Automatically selected • Performed asynchronously Access from many platforms: • Web app from Google App Engine • Apps Script (e.g. from Google Spreadsheet) • Desktop app Prediction API Capabilities Friday, October 29, 2010
  • 33. Developer DayGoogle 2010 • Updated Syntax • Multi-category prediction o Tag entry with multiple labels • Continuous Output o Finer grained prediction rankings based on multiple labels • Mixed Inputs o Both numeric and text inputs are now supported Can combine continuous output with mixed inputs Prediction API v1.1 - new features Friday, October 29, 2010
  • 34. Developer DayGoogle 2010 Google BigQuery Interactive analysis of large datasets in Google's cloud Friday, October 29, 2010
  • 35. Developer DayGoogle 2010 Introducing Google BigQuery – Google's large data adhoc analysis technology • Analyze massive amounts of data in seconds – Simple SQL-like query language – Flexible access • REST APIs, JSON-RPC, Google Apps Script Friday, October 29, 2010
  • 36. Developer DayGoogle 2010 Working with large data is a challenge Why BigQuery? Friday, October 29, 2010
  • 37. Developer DayGoogle 2010 Spam Trends Detection Web Dashboards Network Optimization Interactive Tools Many Use Cases ... Friday, October 29, 2010
  • 38. Developer DayGoogle 2010 • Scalable: Billions of rows • Fast: Response in seconds • Simple: Queries in SQL • Web Service oREST oJSON-RPC oGoogle App Scripts Key Capabilities of BigQuery Friday, October 29, 2010
  • 39. Developer DayGoogle 2010 1. Upload 2. Import Upload your raw data to Google Storage Import raw data into BigQuery table Perform SQL queries on table 3. Query Another simple three step process... Using BigQuery Friday, October 29, 2010
  • 40. Developer DayGoogle 2010 Compact subset of SQL o SELECT ... FROM ... WHERE ... GROUP BY ... ORDER BY ... LIMIT ...; Common functions o Math, String, Time, ... Additional statistical approximations o TOP o COUNT DISTINCT Writing Queries Friday, October 29, 2010
  • 41. Developer DayGoogle 2010 GET /bigquery/v1/tables/{table name} GET /bigquery/v1/query?q={query} Sample JSON Reply: { "results": { "fields": { [ {"id":"COUNT(*)","type":"uint64"}, ... ] }, "rows": [ {"f":[{"v":"2949"}, ...]}, {"f":[{"v":"5387"}, ...]}, ... ] } } Also supports JSON-RPC BigQuery via REST Friday, October 29, 2010
  • 42. Developer DayGoogle 2010 Standard Google Authentication • Client Login • OAuth • AuthSub HTTPS support • protects your credentials • protects your data Relies on Google Storage to manage access Security and Privacy Friday, October 29, 2010
  • 43. Developer DayGoogle 2010 Wikimedia Revision history data from: http://download.wikimedia.org/enwiki/latest/enwiki-latest-pages-meta-history.xml.7z Wikimedia Revision History Large Data Analysis Example Friday, October 29, 2010
  • 44. Developer DayGoogle 2010 Wikimedia Revision history data from: http://download.wikimedia.org/enwiki/latest/enwiki-latest-pages-meta-history.xml.7z Wikimedia Revision History Large Data Analysis Example Friday, October 29, 2010
  • 45. Developer DayGoogle 2010 Python DB API 2.0 + B. Clapper's sqlcmd http://www.clapper.org/software/python/sqlcmd/ Using BigQuery Shell Friday, October 29, 2010
  • 46. Developer DayGoogle 2010 BigQuery from a Spreadsheet Friday, October 29, 2010
  • 47. Developer DayGoogle 2010 BigQuery from a Spreadsheet Friday, October 29, 2010
  • 48. Developer DayGoogle 2010 Input Data: http://delic.io.us/chanezon –6000 urls, 14000 tags in 6 years Analyze my delicious tags –use delicious API to get all tagged urls –cleanup data, resize (100Mb limit) –PUT data in Google storage –Define table –analyze Predict how I would tag a technology article –input is tag,url,text –send new url and text –get predicted tag Prediction API and BigQuery Demo: Tagger Friday, October 29, 2010
  • 49. Developer DayGoogle 2010 Nick Johnson’s blog –http://blog.notdot.net/2010/06/Trying-out-the- new-Prediction-API –42,753 submissions, for a week –63% accuracy, to categorize new submissions Guessing Subreddits with Prediction API Friday, October 29, 2010
  • 50. Developer DayGoogle 2010 • Google Storage o High speed data storage on Google Cloud • Prediction API o Google's machine learning technology able to predict outcomes based on sample data • BigQuery o Interactive analysis of very large data sets o Simple SQL query language access Recap Friday, October 29, 2010
  • 51. Developer DayGoogle 2010 • Google Storage for Developers o http://code.google.com/apis/storage • Prediction API o http://code.google.com/apis/prediction • BigQuery o http://code.google.com/apis/bigquery More information Friday, October 29, 2010
  • 52. Mobile Agenda for GDD http://bit.ly/mgddbr Developer DayGoogle 2010 Friday, October 29, 2010
  • 53. Developer DayGoogle 2010 Friday, October 29, 2010

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