Dataverse Tables - Data Modeling for the Power Platform
Tables you create for your specific business needs. Connect to external data sources without importing data.
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 82 of 92
Tables you create for your specific business needs. Connect to external data sources without importing data.
Power Automate cloud flows are the thing I recommend to the "I don't want to write code" person on every client engagement, and they almost always produce…
Logic Apps connectors are the product feature that makes integration architects either love or dread the platform. Over 400 connectors covering everything…
Durable Entities are addressable units of state that process operations one at a time. Think of them as lightweight actors - each entity has a unique…
The magic happens through the Durable Task Framework, which handles state persistence, checkpointing, and replay automatically.
Anomaly Detector is the Cognitive Service I pull out when someone asks "can you tell us when something goes wrong?" and the answer is "I don't know exactly…
Form Recognizer is where I've seen the most immediate ROI from Cognitive Services in enterprise settings. Accounts payable teams manually keying invoice…
Custom Vision fills the gap that the general-purpose Computer Vision API can't: domain-specific image classification and object detection where the model…
Computer Vision is the Cognitive Service that covers the "I have an image and I need to know what's in it" scenario without training a custom model. Read…
Azure Translator is one of the Cognitive Services that I've shipped most quietly—it tends to be a two-day integration rather than a headline feature, but…
Intents : Categories of user actions (e.g., BookFlight, GetWeather) Entities : Important data to extract (e.g., locations, dates, quantities) Utterances :…
QnA Maker simplifies building knowledge based chatbots: Easy content import from URLs, documents, and manual entry Natural language understanding for…
I've built bot projects with the Bot Framework that I'm proud of, and bot projects that I wish I could forget. The difference is almost always scope…
Azure Speech Services enable rich voice experiences: Speech to Text : Real time transcription with high accuracy Text to Speech : Natural sounding neural…
ThreadX : RTOS kernel with preemptive scheduling NetX Duo : TCP/IP network stack (IPv4 and IPv6) FileX : FAT compatible embedded file system GUIX : Graphics…
1. Azure Sphere MCU : Secured silicon with hardware based security 2. Azure Sphere OS : Linux based secured operating system 3. Azure Sphere Security…
Azure Digital Twins was the service that reframed how I think about IoT data. Most IoT architectures I'd built treated device telemetry as a stream: events…
Device twins are the feature in Azure IoT Hub that solved a problem I didn't fully appreciate until a client had 3,000 industrial sensors in two factories…
Event Hubs with Kafka protocol offers: No Kafka cluster management Automatic scaling 99.99% SLA Native Azure integration Pay per throughput pricing Event…
Azure Stream Analytics sits in a specific niche that I've come to appreciate: SQL-native stream processing for teams who shouldn't have to learn Spark or…
The appeal of Spark Structured Streaming is that you write it almost identically to a batch Spark job. Same DataFrame API, same transformations, same Spark…
Delta Lake time travel is the feature that makes "oops" survivable. An engineer runs a DELETE with a typo in the WHERE clause. A batch job writes corrupt…
Databricks workspace governance was the problem nobody thought about until there were thirty workspaces, fifteen clusters running overnight, and six teams…
We streamlined the configuration of our Mac Build agents to a repository where we can update our Provisioning Profiles, Keychains, etc.