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Data Management
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Integrated Search
Property Lineage
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Config Groups
Data Synchronization
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Extensions
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VPN
Durable Data
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Bring your own key
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Patterns
Enrich patterns
Extract foreign references as extracted datatypes pattern
Adding type information pattern
Splitting out lists of sub-objects pattern
Normalising data pattern
Extract reference properties as reference/classification entities
Connect patterns
Cleaning data pattern
External merge pattern
Golden property based on priority pattern
Golden property based on last updated pattern
Golden property based on quality
Feedback loop pattern
Hungarian notation references pattern
Transform patterns
Late schema binding
Defining hierarchies for recursion
Re-mapping references to target identifiers
Generic patterns
Open to extension closed for modification
Rewriting identity pattern
Data management
Time-based masterdata management
Entity Data Model
Data platforms
Sesam in Microsoft Azure
Sesam in Google Cloud Platform
Data synchronization
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The manifest
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The config.json file
Available connectors
Asana
Bamboo HR
Business Central
Chargebee
CRMOffice
DBpedia
Difi
Exact Online
Freshteam
HubSpot
Invoiced
Keap
Membercare
Monday.com
PowerOffice GO
Sage
Shopify
SSB
Squarespace
SuperOffice
Tidsbanken
Trello
Tripletex
Twelve Data
Uni Economy
Wave
webCRM
Wikidata
Wix
WooCommerce
Xledger
YouTrack
Zendesk
Zoho CRM
Using connectors
Cron Expressions
Developer Extension Points
Custom Data Sources
Custom Data Transforms
Custom Data Sinks
Microservices in Sesam
JSON Pull Protocol
JSON Push Protocol
Non-idempotency
Patterns
Collect Patterns
Authentication schemes pattern
Avoid unnecessary load on source systems pattern
Claims pattern
Combine -all and -event pattern
Continuation pattern
Datatype naming pattern
Datatypes follow the api pattern
Datatypes with list of linked-objects pattern
Establish origin pattern
Handling asymmetry pattern
Keep data in original structure pattern
Make periodic entities from a versioned history pattern
Pagination pattern
Parameterized datatypes pattern
Receive webhook events pattern
Recreate best effort history from a source pattern
Register webhook pattern
Source that only provides delta streams pattern
Source with since support but no deletions pattern
Source with parameterized input pattern
Sporadic empty response pattern
Synthetic properties pattern
Two step collect pattern
Use templates pattern
Verify deletes pattern
Webhook deletion tracking pattern
Transform Patterns
Namespace split pattern
Share Patterns
Capture response with transform pattern
Delete pattern
Duplicate hops block
Exposing data pattern
External reference pattern
Handling asymmetry
Insert pattern
Optimistic locking pattern
Single share pattern
Share template extension points pattern
Update pattern
Use datatype specific operations pattern
RDF Support
Source Datatype Mapping
Data Transformation Language (DTL)
Introduction
Annotated Example
Built-in Variables
Path Expressions and Hops
How joins work
Namespace aware functions
Caveats
DTL: Transforms
DTL: Boolean logic
DTL: Booleans
DTL: Bytes
DTL: Comparisons
DTL: Conditionals
DTL: Date and time
DTL: Dictionaries
DTL: Encryption
DTL: Hops
DTL: JSON
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DTL: Math
DTL: Misc
DTL: Namespaced identifiers
DTL: Nulls
DTL: Numbers
DTL: Phonenumbers
DTL: Sets
DTL: Strings
DTL: URIs
DTL: UUIDs
Argument types
Supported Timezones
Deprecated features
Databrowser
Databrowser Guide
Authentication and authorization
Configuration file API
Discontinued services
Sesam Talk
Supported systems
Business Central
Hubspot
Poweroffice
SuperOffice
Tidsbanken
Tripletex
Wave
Wix
Concepts
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Counting updates
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Transforms
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Sinks
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Email Message sink
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SMS message sink
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Systems
Elasticsearch system
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Legacy Microsoft SQL Server system
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SQL systems
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