Data Management
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Frequently Asked Questions
Yes! Check out data management events happening today here. These are in-person gatherings where you can meet fellow enthusiasts and participate in activities right now.
Discover all the data management events taking place this week here. Plan ahead and join exciting meetups throughout the week.
Absolutely! Find data management events near your location here. Connect with your local community and discover events within your area.
Data Management Events This Week
Discover what is happening in the next few days
Moshi Toastmasters Club Meeting (Hybrid)
Join us for Moshi Toastmasters Club Meetings (Hybrid)
We meet every Saturday!
Time: 6:10 PM onwards
Online: Zoom Meeting ID: 819 4955 5108 | Passcode: 589358
https://us06web.zoom.us/j/81949555108?pwd=bC0b1au3citt81jU7ae0zhahyYfXjM.1
Offline: Global Achievers School, Near Moshi Toll Plaza, Gaikwad Vasti, Moshi, Pimpri-Chinchwad, Maharashtra 412105
https://maps.app.goo.gl/5gYraevFLmMviVwp9
Get ready for an evening of inspiring speeches and insightful discussions!
Contact TM Prashant +91 91455 13682 for more details
Data Management Events Near You
Connect with your local Data Management community
CBusData - Ok I Want to Get Data into Fabric - Now What?
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.
Data & Analytics Wednesday - Compensation Data
**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)
Azure CBUS February: Build Your Own MCP Server
### Tools in your AI's Toolbox : An introduction to MCP Servers
The generative AI revolution has unlocked unprecedented capabilities, but the next frontier is agency: empowering models to interact with, query, and act upon the world. The current challenge is the “N x M integration problem,” where every AI model requires a custom, brittle integration for each external tool or data source. This approach simply doesn’t scale. How can we give an AI access to our sales leads, code repositories, or IoT devices in a standardized, secure, and reusable way?
This session introduces Anthropic’s Model Context Protocol (MCP), the open-source framework designed to solve this challenge and become the universal connector—the USB-C port—for AI. MCP standardizes how AI models discover and use external tools, moving beyond simple function-calling to a robust, client-server architecture. We will dive into how this open protocol is creating a new ecosystem for building powerful, context-aware AI agents.
Join this session for a developer-focused introduction where you will learn how to:
Understand the core concepts of the open-source Model Context Protocol and its architecture.
Utilize pre-built, open-source MCP servers to instantly connect AI to tools like Git, Slack, and databases.
Build a custom MCP server to securely expose your own proprietary data and APIs as tools for any compliant AI.
Move beyond bespoke integrations and contribute to a standardized, collaborative, and open ecosystem.
Stop building one-off connectors and start building intelligent agents. This session will give you the practical knowledge to leverage MCP and create the next generation of AI that doesn’t just talk, but does.
Want to be a speaker? submit your talk to our Call for Presenters!!!
[https://sessionize.com/azure-cbus-2026/](https://sessionize.com/azure-cbus-2026/)
Data Pipelines at the Advanced Photon Source
**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.
Men's Group meetup
**The idea for this group is to build a community where men can gather together and build connections & learn and grow from each other.**
How we start each meeting is by each of us checking in with our "roses and thorns" aka what are the good things and the bad things going on in your life recently?
Then we will go into a topic discussion.
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**COMMUNITY AGREEMENTS**
\*\*THERE WILL BE A ZERO TOLERANCE POLICY FOR NO-SHOWS. IF YOU RSVP TO A MEETING AND FAIL TO SHOW UP WITHOUT NOTICE, YOU'LL BE REMOVED FROM THE GROUP. THIS IS TO PRESERVE THE INTEGRITY OF THE GROUP\*\*
1. Confidentiality - EVERYTHING that is shared NEVER leaves this space so that this space remains safe and sacred. There is a zero tolerance policy for this. If a man is in violation of this, they will be permanently removed from the group.
2. Non-Judgement - we respect and honor every man’s truth so that we may receive the same from others. While we may not agree on everything, we commit to respecting every man’s perspectives and engaging in honorable discussion with one another.
3. Be committed - honor your commitment to this group and to yourself. If you attend a meeting, please commit yourself fully to the meeting. Also be committed to your own journey. When we fail, we own it & clean it up.
4. Speak from the heart - this is NOT a space to “look good”, have the “right” answers, and have it all together. Relax and know you are not alone. Be exactly who you are within the safety of this space.
5. Be supportive - This means always willing to provide encouragement to your fellow men, encourage action and momentum in each other’s lives.. Be willing to challenge each other. Be willing to hold each other accountable.
6. Participation - what you receive from this community will be a reflection of what you put into it. Period. We ask that you share your perspectives, reflect on others, and give/receive support when and where it’s needed.
February Ann Arbor R Users' Group Meeting - AI in RStudio (Hybrid, with Pizza!)
**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**
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