Tabular Automation with TMSL and PowerShell by Ust Oldfield

Tabular Automation with TMSL and PowerShell by Ust Oldfield
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Oldfield shares insights on leveraging tabular automation tools such as TMSL and PowerShell for creating efficient models. Discover the power of Tabular In-Memory SSDT Semantic Layer in warehouse architecture and explore why Tabular is the go-to choice for corporate data analytics.

  • Tabular Automation
  • TMSL
  • PowerShell
  • Data Analytics
  • In-Memory SSDT

Uploaded on Mar 18, 2025 | 0 Views


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  1. MEKON & HOBO Java Frameworks for building Ontology-Driven Applications Current use cases: Almost (!) products: Knowledge-driven clinical documentation system Web-based recruitment application Early prototypes: Sepsis prediction system Clinical trials design/design-retrieval system

  2. Very, very briefly MEKON based around a genericframes model Simple frame/slot basedrepresentation Plug-in framework allows incorporation + integration of: Ontology-like knowledge sources Associated reasoning mechanisms OWL + DL based plug-ins are provided HOBO extends MEKON Enables creation of domain-specificobject models, bound to appropriately populated frames models Instantiations of object models operate in-tandem with instantiations of bound frames models

  3. Also come with Instance Store mechanisms, delivered via plug-in framework Current plug-ins based on: 1. OWL constructs+ DL reasoning 2. RDF (Stardog or Jena) + SPARQL 3. The XML database BaseX Model Explorer GUI, enables model developer to: 1. Browse frames model 2. Explore dynamic behaviour of specific instantiations As provided via external reasoners or object model 3. Exerciseinstance store (store instances / execute queries)

  4. For software developers MEKON & HOBO 1. Provide layered architecture: Structured means of combining: Generic knowledge sources + reasonners Domain-specific processing Configurable via creation/customisation of plug-ins 2. Handle much of the dirty work: Lower-level interaction with ontologies + reasoners Intermediate-level processing 3. Provide client access via appropriate APIs: Generic frames model Domain-specific object models

  5. For ontology developers MEKON enables the creation of a skeleton application, without having to write a single line of code OWL Ontology + DL Reasoner + MEKON Framework + MEKON Configuration File + Model Explorer Skeleton OWL-Driven Application

  6. Come and see MEKON & HOBO demo

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