Bring stored information into the work.
Connect relevant information through Amazon S3 so it can contribute to the operational context and defined work your experts need.
- reads
- moves
- publishes
- Harvest titer
- Lower
- Feed lot
- 2231-B
- Feed 3
- 11:40, planned 09:00
- Certificate
- 0091 on file
What the connection makes available.
Plan the connection around the work.
Review what the connection reads, the information your team needs, and the access the job requires.
| Kind | File stores |
|---|---|
| State | Available |
| Does | moves |
| Directory | Connectors directory |
Identify the source and the people responsible.
- 01The relevant sourceIdentify the S3 location and the information the job needs.
- 02The information ownerBring the person responsible for the source, access, and handling requirements.
- 03The intended workflowExplain how the source information should support the operational question.
The information available through this connection.
Use this information to build operational context, with pointers to its original sources.
- 01
PDFs
Feeding records, like BR-0412's
- 02
Scans
Certificates 0088 and 0091
- 03
Parquet
Harvest results, BR-0410 to BR-0421
- 04
Spreadsheets
The P-14 tracker, batches by lot
- 05
JSON files
System exports, read as data
- 06
Versions
The version each file was read at
- 07
Object tags
Batch, lot and site, as tagged
- 08
Prefixes
The folders you name, like site-a/
Questions about Amazon S3.
Discuss the information you need and how your team will use it.
Turn time spent finding information into time spent moving forward.
Bring the job you want to move forward and the records you'd like connected. Thirty minutes on how Katalyze would do the work, and where your experts come in.
Or, just a quick chat to run through the product, your call.
