What is the schema of the data?
A database schema represents the logical configuration of all or part of a relational database. It can exist both as a visual representation and as a set of formulas known as integrity constraints that govern a database. These formulas are expressed in a data definition language, such as SQL.
Are databases are an efficient way of storing large amounts of data?
What databases are useful for is querying large amounts of data. Databases not only provide storage, they also allow organization of data into structures that can be efficiently searched and updated.
How does shared database and shared schema architecture work?
The figure above shows how this approach manages data in the DB Tables. All Tenants/Clients will share the same set of tables, and a Tenant ID associates each tenant with the rows that it owns. This shared schema approach has the lowest hardware and backup costs, because it allows you to serve a large number of tenants/clients using one database.
How is historical data stored in a database?
Anytime historical data is being retrieved, it would be joined against the history table using the customerHistoryID to show the state of data for that particular order. Retrieving a list of customers is easy, it just takes a join to the customer table on the customerHistoryID.
How are records stored in a shared database?
So any given table can include records from multiple tenants stored in any order, and a Tenant ID (Client ID) column associates every record with the appropriate Tenant/Client. The figure above shows how this approach manages data in the DB Tables.
What kind of schema do I need for stock symbols?
My requirements are to store “bar data” (date, open, high, low, close volume) for multiple stock symbols. Each symbol might also have multiple timeframes (e.g. Google Weekly bars and Google Daily bars). My current schema puts the bulk of the data is in the OHLCV table.