Big Data

I love my job and one of the main things I do is help customers get going with any of the data technologies at Microsoft. Right now there are a lot of my customers asking about Microsoft Fabric. It's hard to weave across all the shiny new options across the Fabric landscape, let alone figure out where it fits into your organization. In this session we'll focus on answering one question - how can I get data into Fabric? We'll talk through the "it depends" options and see some of the options in live demos.

Join the Columbus AI community for our quarterly gathering — a casual, community-focused evening where everyone has a chance to share, learn, and connect. These open mic–style events give anyone in the community up to **5 minutes** to present a project, share a tool, pose a question, or offer a perspective on the evolving AI space. No slides required — just a welcoming space to exchange ideas and keep the local AI conversation moving. If you’d like to take the stage, message **Chris (the organizer)** with a **title and short description** of what you’d like to share. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.transformlabs.com/services)

**Abstract:** The Advanced Photon Source (APS) is an X-ray light source at Argonne National Laboratory where researchers perform imaging, diffraction and spectroscopy experiments at 68 specialized beamlines. APS recently completed a major upgrade that made it the brightest synchrotron in the world and upgraded many of the beamlines to take advantage of the dramatically brighter, more coherent beam. These new capabilities are increasing the facility’s raw data production from <10 PB/year before the upgrade to >100 PB/year once all instruments are back online. To meet this data challenge, the APS Beamline Data Pipeline project team is partnering with beamline staff to develop and deploy science data pipelines that use a common set of open-source software tools (many written in Python) to link instruments with the Polaris supercomputer at the Argonne Leadership Computing Facility (ALCF) for data processing. This talk will describe the APS data systems, our file-based and streaming pipeline templates, and some of the open-source software we use to extract scientific insights from beamline data. **Audience Takeaway:** Open source Python data acquisition and analysis tools are ubiquitous at the APS. Many of the packages that are mentioned can be found at [https://github.com/AdvancedPhotonSource](https://github.com/AdvancedPhotonSource). This is a *hybrid* event. To attend online, join us on Zoom here at 6pm: [https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1](https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1) **Sponsor**: Grainger will provide the meeting site, as well as snacks for the onsite participants. * **Address:** 222 W Merchandise Mart Plaza, 18th Floor, Chicago, IL 60654 * **Grainger's Overview:** W.W. Grainger, Inc., is a leading broadline distributor with over $17 billion in revenue. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with maintenance, repair, and operating (MRO) products and services delivered through innovative technology and deep customer relationships. Our machine learning team builds broadly across search, recommendations, product matching, computer vision, and generative AI. * **Logistics**: To access the Grainger office, we require **first and last names** of those who RSVP'd by **Feb 11**. Please take the main elevators at the center of the Mart. Attendees will then present their **IDs** when they arrive at the front desk on the 18th floor.

**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 **Abstract** TBD **YouTube Link** TBA

**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). Lonnie Morgan will be presenting information about the DLT Library. "The Python library `dlt` provides a powerful [REST API toolkit](https://dlthub.com/docs/dlt-ecosystem/verified-sources/rest_api/basic) to ingest data. Combined with our [LLM scaffolds](https://dlthub.com/workspace) and [MCP server](https://dlthub.com/docs/hub/features/mcp-server), you can build a custom connector for any of the 8k+ available sources in 10 minutes by following this guide. Building with LLMs is an iterative process. We will follow this general workflow and give practical tips for each step." See Our [Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com

**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). See the handy Parking Map - we recommend street parking. [Street Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/cbus-hug-2026/