The canonical book for you to use is Ralph Kimball’s Data Warehouse Toolkit. There are 15 tables in the DVD Rental database: actor – stores actors data including first name and last name. If you value fast queries, Redshift is the way to go. For those interested in the querying portion of Postgres guide and less on designing their application you can load an example database provided by us. category – stores film’s categories data. film – stores film data such as title, release year, length, rating, etc. I prefer the EnterpriseDB flavor as it is the most broadly supported and has the most tools, and yes it’s inexpensive. This example database is used through the SQL section and allows you to follow along without having to have your own schema/data. New pull request Find file. film_actor – stores the relationships between films and actors. The Data Warehouse Toolkit; Example Database Tweet. PostgreSQL Sample Database Tables. Its comprehensive querying layer and technical standards-compliance make it a favorite for a variety of uses cases ranging from OLTP workloads to data warehouse and analytics use cases. on the SQL server-site. Your data warehouse is a vital part of your business, so making decisions like upgrading your read replica vs switching to Redshift are important. I need to extract data from it on a semi real-time basis (some-one is bound to ask what semi real-time means and the answer is as frequently as I reasonably can but I will be pragmatic, as a benchmark lets say we are hoping for every 15min) and feed it into a data-warehouse. PostgreSQL is one of the most widely used open-source relational databases. The Northwind database is a sample database that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. Use these links to download the appropriate sample database for your scenario. When benchmarking Amazon Redshift against Amazon RDS Postgres, Redshift came out to be 100-1,000 times faster on common analytics queries. Introduction to PostgreSQL CDC. Analytic SQL Server is implementation of the next generation Data Warehouse Model (for now available only for PostgreSQL server), with full OLAP functionality and analytical processing support (Mathematical Models, Statistics Models etc.) The following query defines a few columns that match the Orders table in PostgreSQL: CREATE TABLE ODI_DEMO.TRG_ORDERS (SHIPCITY NUMBER(20,0),ShipName VARCHAR2(255)); The Specs TSQL 100.0%; Branch: master. PostgreSQL is a fine database. Lightweight (LT) data is a lightweight and pared down version of the OLTP sample. A data warehouse is built to store large quantities of historical data and enable fast, complex queries across all the data, typically using Online Analytical Processing (OLAP). Background: I have a PostgreSQL (v8.3) database that is heavily optimized for OLTP. 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