Building Integrated Applications on Google's Cloud Technologies

Christian SchalkGoogle Developer Advocateprofiles.google.com/cschalk@cschalkBuilding Integrated Applications onGoogles Cloud TechnologiesDevFest 2011Jakarta

Agenda● Introduction● App Engine Recap● Googles new Cloud Technologies ○ Google Cloud Storage ○ Prediction API ○ BigQuery ○ Google Cloud SQL● Summary Q&A

Introduction Google App Engine

Introduction Google App Engine Google BigQuery Google Google Cloud SQL Prediction API Google Cloud Storage

New Google Cloud Technologies ● Google Cloud Storage ○ Store your data in Googles cloud ● Prediction API ○ Googles machine learning tech in an API ● BigQuery ○ Hi-speed data analysis on a massive scale ● Cloud SQL ○ A relational database in the cloud

Google Cloud StorageStore your data in Googles cloud

What Is Google Cloud Storage? ● Store your data in Googles cloud ○ any format, any amount, any time ● You control access to your data ○ private, shared, or public ● Access via Google APIs or 3rd party tools/libraries

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, AppEngine, Cloud based apps Storage for Computation e.g. BigQuery, Prediction API

Google Cloud 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

Google Cloud Storage Technical Details ● RESTful API ○ Verbs: GET, PUT, POST, HEAD, DELETE ○ Resources: identified by URI ○ Compatible with S3 ● Buckets ○ Flat containers ● Objects ○ Any type ○ Size: 100 GB / object ● Access Control for Google Accounts ○ For individuals and groups ● Two Ways to Authenticate Requests ○ Sign request using access keys ○ Web browser login

Early Google Cloud Storage Adopters and more...

Simple Google Cloud Storage Demos GS (Web) Manager GSutil

Google Prediction APIGoogles prediction engine in the cloud

Google Prediction API as a simple example Predicts outcomes based on learned patterns

Potentially endless number of applications... Customer Transaction Species Message Diagnostics Sentiment Risk Identification Routing Churn Legal Docket Suspicious Work Roster InappropriatePrediction Classification Activity Assignment ContentRecommend Political Uplift Email Career Products Bias Marketing Filtering Counselling ... and more ...

Prediction API CapabilitiesData ● Input Features: numeric or unstructured text ● Output: up to hundreds of discrete categoriesTraining ● Many machine learning techniques ● Automatically selected ● Performed asynchronouslyAccess from many platforms: ● Web app from Google App Engine ● Apps Script (e.g. from Google Spreadsheet) ● Desktop app

How does it work? "english" The quick brown fox jumped over theThe Prediction API lazy dog.finds relevant "english" To err is human, but to really foul thingsfeatures in the up you need a computer.sample data during "spanish" No hay mal que por bien no venga.training. "spanish" La tercera es la vencida.The Prediction APIlater searches for ? To be or not to be, that is the question.those features ? La fe mueve montañas.during prediction.

Using the Prediction APIA simple three step process... (REST Calls) Upload your training data to 1. Upload Google Storage Build a model from your data 2. Train 3. Predict Make new predictions

Prediction API - key features ● Multi-category prediction ○ Tag entry with multiple labels ● Multiple Prediction Output ○ Finer grained prediction rankings based on multiple labels ● Mixed Inputs ○ Both numeric and text inputs are now supportedCan combine continuous output with mixed inputs

Prediction Demos ● Command line Demos ○ Training a model ○ Checking training status ○ Making predictions ● A complete Web application using the JavaScript API for Prediction

Google BigQueryInteractive analysis of large datasets in Googles cloud

Introducing Google BigQuery ● Googles 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

Many Use Cases ... Interactive Trends Spam Tools Detection Web Network Dashboards Optimization

Key Capabilities of BigQuery ● Scalable: Billions of rows ● Fast: Response in seconds ● Simple: Queries in SQL ● Web Service ○ REST ○ JSON-RPC ○ Google App Scripts

Using BigQueryAnother simple three step process... (REST Calls) Upload your raw data to 1. Upload Google Storage Import raw data into 2. Import BigQuery table 3. Query Perform SQL queries on table

Writing QueriesCompact subset of SQL ○ SELECT ... FROM ... WHERE ... GROUP BY ... ORDER BY ... LIMIT ...;Common functions ○ Math, String, Time, ...Statistical approximations ○ TOP ○ COUNT DISTINCT

BigQuery via RESTGET /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 Security and PrivacyStandard Google Authentication ● Client Login ● AuthSub ● OAuthHTTPS support ● protects your credentials ● protects your dataRelies on Google Storage to manage access

New!Whats New in BigQuery V2? ● A new REST API ● A new web user interface ● Support for JOIN statements ● Export table or query result to a CSV file in Google Cloud Storage ● Support for ACLs on collections of tables ● A new object architecture describing tables, groups of tables, and queries. This new architecture is described under Main Concepts below.

BigQuery Demo BigQuery Web Browser

Google Cloud SQLA relational database in the cloud

Google Cloud SQL ● Developer console ○ Easy to use ● Fully managed ● High availability ○ Synchronous replication to multiple data centers ● Integrated with Google App Engine ○ Java: JDBC, Python: DB-API ○ Use with High Replication Datastore ● MySQL Compatible ○ Import / export

Cloud SQL Demos! ● Cloud SQL Console ● SQL via JDBC Access ● SQL from PHP!

Recap ● Google App Engine ○ General purpose application development platform for the cloud ● Google Cloud Storage ○ High speed cloud data storage on Googles infrastructure ● Prediction API ○ Googles machine learning technology ● BigQuery ○ Interactive analysis of very large data sets ● Google SQL ○ A relational SQL database in the cloud

Further info available at: ● Google App Engine ○ http://code.google.com/appengine ● Google Cloud Storage ○ http://code.google.com/apis/storage ● Prediction API ○ http://code.google.com/apis/predict ● BigQuery ○ http://code.google.com/apis/bigquery ● Cloud SQL ○ http://code.google.com/apis/sql

Thank You! Christian Schalk Google Developer Advocate profiles.google.com/cschalk @cschalk (Follow me on G+ to get the slides!)

Building Integrated Applications on Google's Cloud Technologies

by Chris Schalk on Nov 16, 2011

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Building Integrated Applications on Google’s Cloud Technologies — Presentation Transcript