Heroku Postgres Cloud Database Webinar
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This webinar took place on August 23, 2012. Never worry about servers. Never worry about config files. Never worry about patches. Simply focus on your data with Heroku Postgres. PostgreSQL is a powerful, reliable, and durable open-source SQL-compliant database. Now available as a fully-managed cloud database from salesforce.com, Heroku Postgres reduces the costs and administrative overhead compared to operating your own database. You can even create a database instance within seconds with a single click. Watch this webinar to learn about: :: When to use Heroku Postgres versus Database.com :: What data you can and should store in Heroku Postgres :: Architecting your application with Heroku Postgres :: How to efficiently share data in your organization with Dataclips :: How to take advantage of features such as Fork and Follow to scale
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Heroku Postgres Cloud Database Webinar
- 1. Heroku Postgres Webinar Craig Kerstiens Matt Soldo
- 2. Architecture Other Force.com Heroku Runtime Platforms Database.com Heroku Postgres
- 3. Database.com Social Enterprise DBaaS Heroku Postgres SQL Database-‐as-‐a-‐Service
- 4. Let’s Provision a Database
- 5. Value-Added Features Heroku Postgres Postgres Management Services
- 6. Value-Added Features Heroku Postgres Postgres Management Services
- 8. DBA Tasks Setup Manage Security Backup Scale Query
- 9. DBA Tasks Setup Manage Security Backup Scale Query
- 10. We hold the pager Health Checks Continuous Protection
- 11. Value-Added Features Heroku Postgres Postgres Management Services
- 12. Value-Added Features Heroku Postgres Postgres Management Services
- 13. 100% Compatible
- 14. Why Postgres?
- 15. Users Purchases Products
- 16. CREATE TABLE products ( id integer NOT NULL, title character varying(255), description text, price numeric(10,2) );
- 17. CREATE TABLE users ( id integer NOT NULL, first_name character varying(50), last_name character varying(50), email character varying(255), data hstore, created_at timestamp without time zone, updated_at timestamp without time zone, last_login timestamp with time zone );
- 18. CREATE TABLE purchases ( id integer NOT NULL, user_id integer, items decimal(10,2) [][], occurred_at timestamp );
- 19. CREATE TABLE purchases ( id integer NOT NULL, user_id integer, items decimal(10,2) [][], occurred_at timestamp );
- 20. CREATE TABLE purchases ( id integer NOT NULL, user_id integer, items decimal(10,2) [][], occurred_at timestamp ); items[x][0] = item_id items [x][1] = qty items [x][2] = price
- 21. Data Types INSERT INTO purchases VALUES ( 2, 2, '{{11.0, 1.0, 4.99}}', now() );
- 22. Data Types bigint money timestamptz polygon date boolean interval array integer UUID smallint char serial bytea line numeric inet cidr point circle time text float macaddr timetz enum varchar tsquery XML path tsvector timestamp box
- 23. Other Languages CREATE OR REPLACE FUNCTION total(decimal(10,2)[][]) RETURNS decimal(10,2) AS $$ DECLARE s decimal(10,2) := 0; x decimal[]; BEGIN FOREACH x SLICE 1 IN ARRAY $1 LOOP s := s + (x[2] * x[3]); END LOOP; RETURN s; END; $$ LANGUAGE plpgsql;
- 24. Other Languages FOREACH x SLICE 1 IN ARRAY $1 LOOP s := s + (x[2] * x[3]); END LOOP; RETURN s;
- 25. Other Languages python pgsql lolcode ruby j lua V8 R scheme tcl SQL psm Java sh php javascript
- 26. Extensions CREATE EXTENSION hstore; CREATE TABLE users ( id integer NOT NULL, first_name character varying(50), last_name character varying(50), email character varying(255), data hstore, created_at timestamp without time zone, last_login timestamp without time zone );
- 27. Extensions INSERT INTO users VALUES ( 1, 'Craig', 'Kerstiens', 'craig.kerstiens@gmail.com', 'sex => "M", state => "CA"', now(), now() );
- 28. Extensions dblink hstore uuid-ossp trigram pgstattuple citext pgcrypto pgrowlocks isn ltree earthdistance cube dict_int tablefunc fuzzystrmatch unaccent dict_xsyn btree_gist
- 29. Value-Added Features Heroku Postgres Postgres Management Services
- 30. Value-Added Features Heroku Postgres Postgres Management Services
- 31. Data Clips The easiest way to share your data
- 32. + SELECT * Your Live FROM sales Production Data WHERE amount > 1
- 34. Followers Master Database Write Transactions Follower 1 Follower 2 Read Transactions
- 35. Followers Master Database Write Transactions Follower 1 Follower 2 Read Transactions
- 36. Followers Master Database Write Transactions New Master Follower 2 Read Transactions
- 38. Learn More Try It free: https://postgres.heroku.com Code: https://github.com/craigkerstiens/postgres-‐demo Survey: http://bit.ly/herokupostgressurvey matt@heroku.com | craig@heroku.com