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    Demo 07 · Finance / AP

    A vendor invoice 3-way matched and approved in seconds

    Accounts Payable teams burn days matching every invoice against its purchase order and receiving slip by hand. Step through the walkthrough below to see the automated workflow — a webhook captures the invoice, nodes fetch the PO and goods receipt, a receiving check confirms a short delivery, a 3-way match on price, quantity and totals flags the exception, a manager approves in one click, and the approved amount posts to the ERP. Watch a week of manual reconciliation finish in seconds.

    3-way match
    AP automation
    Approval routing
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    Demo 01

    dbt + Medallion Architecture

    Watch a messy orders.csv get progressively refined by dbt models — with lineage, tests, macros and incremental builds.

    Demo 02

    SQLMesh vs dbt

    A standalone look at where SQLMesh diverges from dbt — stateful incrementals, built-in audits, column-level lineage and virtual environments — and the situations where it's the better choice.

    Demo 03

    Master Data Management

    Watch the same customer — scattered across CRM, ERP, e-commerce and support with conflicting data — get standardized, matched, merged into a Golden Record, and synced back to every system.

    Demo 04

    Change Data Capture (CDC)

    Watch inserts, updates and deletes from an operational orders table get captured and streamed into Bronze → Silver → Gold — with a side-by-side of log-based, query-based and trigger-based capture.

    Demo 05

    Banking

    Submit a sample loan form and watch a workflow fire node by node — webhook, credit check, risk scoring, decision branch, core-banking update and notifications — replacing days of manual hand-offs.

    Demo 06

    AI Support

    Submit a real support message and watch a live workflow use AI to classify it, set priority, route it to the right team and draft a reply — actually running on the backend, not a simulation.

    Demo 08

    Apache Kafka · Streaming

    A no-fluff explainer of how Kafka moves data, the real-world challenges of running it, and a side-by-side of Kafka vs. Azure Stream Analytics, AWS Kinesis, Google Pub/Sub and managed Kafka.

    Demo 09

    Azure AI Agent Blueprint

    An interactive, animated reference architecture: watch a user request flow through the Application, Context and Orchestration layers — gateway, Container Apps, RAG, memory, Azure AI Foundry and model fine-tuning.

    Demo 10

    AWS AI Agent Stack

    An interactive, animated AWS reference architecture: watch a request flow through ALB and API Gateway into ECS Fargate agents, out to Bedrock Knowledge Bases and Kendra for RAG, DynamoDB/ElastiCache memory, and SageMaker + Bedrock for reasoning and fine-tuning.

    Demo 11

    Google Cloud AI Agent Playbook

    An interactive, animated Google Cloud reference architecture: watch a request flow through Cloud Load Balancing and Apigee into Cloud Run / GKE agents, out to Vertex Vector Search and the RAG Engine, Firestore/Memorystore memory, and Vertex AI + Gemini for reasoning and tuning.

    Demo 12

    Data Platform Architecture

    An interactive, animated data-platform architecture: watch data flow from operational sources through CDC, streaming and batch ingestion into a Bronze → Silver → Gold lakehouse on an open table format, then out to BI, SQL, ML and real-time serving.

    Demo 13

    Enterprise RAG · Security & Governance

    Take RAG inside the company: sync SharePoint, Confluence and shared drives, filter retrieval by each user's permissions, redact sensitive data, and measure answer quality before rollout.

    Demo 14

    Data Quality & Observability

    Catch bad data before it reaches your dashboards — automated quality checks, anomaly detection, lineage and alerting across the pipeline.

    Demo 15

    RAG · Retrieval-Augmented Generation

    Watch a question flow through a Retrieval-Augmented Generation pipeline — documents chunked and embedded into a vector database offline, then a query embedded, top-k chunks retrieved, and the LLM answering grounded in real, cited text.

    Demo 16

    3NF vs. Data Vault

    The old Inmon-vs-Kimball argument is back, and this time it's about the silver layer of the medallion architecture. Should silver be modeled in Inmon-style 3NF, or as a Data Vault 2.0 raw vault?