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
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 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.
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!)