#dataflows

Why treat LLM inference as batched kernels to DRAM when a dataflow compiler can pipe tiles through on-chip FIFOs and stream converters?StreamTensor is a compiler that lowers PyTorch LLM graphs (GPT-2, Llama, Qwen, Gemma) into stream-scheduled dataflow accelerators on AMD’s Alveo U55C FPGA. The system introduces an iterative tensor (“itensor”) type to encode tile/order of streams, enabling…

In part 4 of our Fabric series, Jordan covers ingesting data into Fabric via Data Pipelines and Dataflows. It might be more familiar … source

We get a lot of questions about Power BI dataflows and when to use them. Patrick explores a use case that screams for using … source

📊 Why are dataflows important in end-to-end analytics? Dataflows (Gen2) play a key role by helping you: ✅ Prepare consistent data ✅ Stage it in your preferred destination ✅ Reuse it across reports ✅ Easily refresh and update it

They streamline your analytics process from raw data to actionable insights!

🔍 What are Dataflows (Gen 2)? 💬 They are a cloud-based ETL solution designed to create and run scalable data transformation workflows.

10+ hours of FREE Fabric Training: … source

Difference between Dataset and Dataflow in Power BI How to create shared table used across multiple reports in Power BI Where … source

I have been creating quite many dataflows lately and in today’s video, I am going to share my best tips on how to set them up and … source