Data Engineering

**People Analytics 101: Making Sense of Compensation Data** Compensation data is one of the most widely used and widely misunderstood forms of people analytics. The session will cover where compensation data comes from, including market pricing data, internal payroll data, and benchmarking sources, and how companies think about structuring and analyzing that information. We will explore how compensation data is leveraged to set salary ranges, manage internal equity, support hiring and retention, and align pay with business strategy. A portion of the session will address common data challenges and limitations, such as market noise, inconsistent job matching, and incomplete datasets, while keeping the primary focus on practical use rather than technical depth. The session will also look ahead at where the space is going, including the growing impact of pay transparency laws, expanding pay equity requirements, and emerging regulations in the US and Europe that require organizations to report on gender and pay gaps. The goal is to give attendees a clear mental model for how compensation analytics works today and why getting it right is becoming increasingly critical. (note: we are back at Rev1 this month!) **About Our Speaker** [Alex Moore](https://www.linkedin.com/in/alexscottmoore/) is the founder of [Moore Cooperative](https://moorecooperative.com/), where he advises organizations on compensation strategy, pay equity, and people analytics. His work focuses on helping organizations like the Ohio Supreme Court design, analyze, and communicate compensation systems that are data-informed, defensible, and aligned with organizational goals. Alex lives in Granville, Ohio and has three little kiddos. More info at [cbusdaw.com](https://cbusdaw.com)

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.

**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

Join members of the local UX and Digital Design community for a casual monthly breakfast. There _might_ be a little snow, but there _will_ be effectively infinite serve-yourself coffee, so it evens out if you ask me. Just a reminder, while the other locations are great too, we’re at the Lane Ave one this time.

**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.

OWASP is ending use of Meetup, so I built an eventbrite for the event. https://www.eventbrite.com/e/ai-development-risk-case-studies-and-how-agentic-ai-is-the-future-of-appsec-tickets-1981450622150?aff=oddtdtcreator AI is transforming how software is designed, developed, and deployed, dramatically accelerating velocity while introducing new categories of risk. As organizations adopt AI-assisted coding, autonomous agents, and increasingly complex model interactions, traditional application security approaches struggle to keep pace. This talk examines emerging AI-driven risks through real case studies from the field, highlighting issues such as insecure code generation, data-leakage pathways, model manipulation, and evolving supply-chain threats. We will explore how engineering teams must adapt their people, processes, and governance models to secure AI-augmented development workflows effectively. The session will then introduce agentic AI as the next evolution in application security—autonomous systems capable of continuous analysis, multi-step reasoning, and real-time remediation. Attendees will learn how combining agentic AI with modern practices can reduce developer friction, improve coverage, and create a future-ready application security strategy designed for the demands of AI-native software development

**We'll have two meetings covering AI - this one is for RStudio** We will review which AI features are linked in for RStudio, and a quick demonstration of using AI to write R code with external AI (such as ChatGPT, ClaudeAI, etc.) The code will be either run on Posit Cloud (RStudio on the web) or in RStudio desktop (from a Github repository). **Location:** The meetup will be at SPARK's ([https://annarborusa.org/](https://annarborusa.org/)) Ann Arbor site: [SPARK HQ (Ann Arbor)](https://urldefense.com/v3/__https://www.google.com/maps/place/Ann*Arbor*SPARK*Headquarters/@42.2792515,-83.7447708,17z/data=!3m1!4b1!4m5!3m4!1s0x883cae3effe193cb:0x5296a53db2a282bf!8m2!3d42.2792515!4d-83.7447708?hl=en-US__;Kysr!!HXCxUKc!3EEdBNXRJKknP6LCGkZetSuEsdtChFojQnOVitFUC5C0fyilqXEbiMstT9ajBR3Cw-55qoFkrElCjQvjMdTxUw$). There is on street parking, and parking at local structures. **This will be a hybrid meeting - the Zoom session starts at 6:30 PM.** **Time:** The doors will be open at 6:00, with pizza and beverages provided. We will have a meet-and-greet-and-pizza session, and then at 6:30 we'll have a presentation. **Zoom information:** https://us06web.zoom.us/j/87236570854?pwd=zhj9DSebB1LaBeam4LFF90OHFVzPrz.1 Passcode: 012862 **If you can't get in, please call me at: 734 223-3307** **Document source:**