PostgreSQL has kept up the momentum around JSON with version 9.4 featuring JSONB as demand for working with unstructured data continues to grow. In this talk delivered during Postgres Open 2014, Vibhor Kumar, principal systems engineer at EnterpriseDB, offered some scenarios for working with JSON in PostgreSQL and demonstrated performance metrics. This session also gave some instruction on how to use different operations and explored comparisons to BSON.
This is the roadmap for content of the meeting
Adjust as necessary based on previous discussions on objectives and areas of interest
Goal is to set expectations for content to be discussed
Agree on specific meeting objectives/outcomes up front
Inquire about any specific areas of interest or current needs that should be emphasized
Bruce
Marc Linster
Emergency Management System: Rapid integration of heterogeneous data sources for new analysis platform
- High variability among data sources required high schema flexibility
MOOC:
- Massive read sclability
- Content integration from a variety of sources
- Low latency at peak volumes
Patient data and prescription records
- Distributed key-value store reduced complexity of integration and management overhead
Online Gambling
- Key value store simplified development (up to 75% acceleration)
- Efficient write sclability
Online Marketing Firm
- massive time series storage facilitated by table style DBMS
- data center replication
Social Marketing Analytics
- Massive amounts of data from social media systems
- Map-reduce analytical approaches
Product Manufacturing Master Data Management
- Network dependencies between product lines
Drug Discovery
- Drug Analysis
Bruce
Bruce
Note:
1. JSON generally ignores any whitespace around or between syntactic elements (values and punctuation, but not within a string value).
2. JSON only recognizes four specific whitespace characters:
i. the space
ii. horizontal tab,
iii. line feed, and carriage return.
3. JSON does not provide or allow any sort of comment syntax.