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The London Excel Meetup group is coming to Munich, Germany. There will be fun, drinks, learning, and networking in a very social atmosphere. I cannot wait to meet you all. Our venue is very close to Central station so for those who can commute to Munich (or live in Munich), this is a great opportunity to attend an in-person event. Please, please RSVP on this page if you plan to attend as we need to know numbers. The plan for the evening.
This event will have multiple speakers delivering short presentations of 10-15 minutes each. You will hear from:
Alan Murray
Martin Weiss • Excel trainer, developer and consultant • Owner of the Excel blog “Tabellenexperte” (www.tabellenexperte.de) • Author (“Excel Pivot-Tabellen für Dummies“) • Microsoft Certified Excel Expert Robert Mundigl • Consultant for Data Analysis, Data Visualization, Financial Modelling, Simulation and Optimization • based in Aschheim (near Munich, Germany) • Founder and owner of Clear & Simple Analytics GmbH • Blog: ClearlyandSimply.com since 2009 • Microsoft Excel user since 1990 Sue Bayes I'm a Microsoft Certified Data Analyst Associate in Microsoft Azure and Microsoft Power BI specialising in Microsoft Power BI, Excel and Paginated Reporting. I develop reports and models using Microsoft Power BI, Microsoft Excel, R and Python and work closely with businesses to enable them to use these tools to provice strategic insight and answer those questions that give value. Giles Male Giles is a CIMA qualified modeller, and co-founder of Full Stack Modeller – a training company and global community for finance professionals. Giles is keen runner, with Comrades Ultra in South Africa on the calendar for 2024. Anders Ebro Anders Ebro is a software engineer and system designer from Exacto , working out of Copenhagen in Denmark. Anders has been developing and delivering optimized business applications built with Excel and SQL server for more than a decade. Everything from complex manufacturing forecasting to requirements management tools, or HR bonus payout, Anders has built it. An Microsoft MVP in Office since 2014, he has gladly shared, presented and helped hundreds of people learning the finer nuances of Office, VBA and SQL. Cristian Angyal
Traci Williams Traci is a trainer and consultant operating her own company Excel Ace. She loves Excel and in her training helps businesses get the most out of their spreadsheets. Enrico de Crescenzo Enrico has been a senior finance manager in several companies in Zürich Switzerland for the last decade. He's a lazy runner and an Excel (and Power BI) enthusiast. When he's not busy improving cash flow forecasting systems or implementing KPIs to monitor financial performance, he's probably teaching how to optimize and automate spreadsheets through examples of the fictitious and delicious Pizza BI. David Benaim "Excel MVP and amateur comic David Benaim merges cells with exhil-arating laughs. If you like to spreadsheet, come and get sum, or #nah, if it's out of your range." This is an in-person only event. Bis bald |
Munich Excel Event | Robert Mundigl, Anders Ebro, Sue Bayes, Martin Weiss & More
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Stepan Pushkarev
– CEO, CTO, and Co-Founder
@ Hydrosphere.io
,
Alan Anders
– CTO
@ Applecart
,
Tobias Macey
– host
Summary The Open Data Science Conference brings together a variety of data professionals each year in Boston. This week’s episode consists of a pair of brief interviews conducted on-site at the conference. First up you’ll hear from Alan Anders, the CTO of Applecart about their challenges with getting Spark to scale for constructing an entity graph from multiple data sources. Next I spoke with Stepan Pushkarev, the CEO, CTO, and Co-Founder of Hydrosphere.io about the challenges of running machine learning models in production and how his team tracks key metrics and samples production data to re-train and re-deploy those models for better accuracy and more robust operation. Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 40Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to dataengineeringpodcast.com/linode to get a $20 credit and launch a new server in under a minute. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch. Your host is Tobias Macey and this week I attended the Open Data Science Conference in Boston and recorded a few brief interviews on-site. First up you’ll hear from Alan Anders, the CTO of Applecart about their challenges with getting Spark to scale for constructing an entity graph from multiple data sources. Next I spoke with Stepan Pushkarev, the CEO, CTO, and Co-Founder of Hydrosphere.io about the challenges of running machine learning models in production and how his team tracks key metrics and samples production data to re-train and re-deploy those models for better accuracy and more robust operation. Interview Alan Anders from Applecart What are the challenges of gathering and processing data from multiple data sources and representing them in a unified manner for merging into single entities? What are the biggest technical hurdles at Applecart? Contact Info @alanjanders on Twitter LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Links Spark DataBricks DataBricks Delta Applecart Stepan Pushkarev from Hydrosphere.io What is Hydropshere.io? What metrics do you track to determine when a machine learning model is not producing an appropriate output? How do you determine which data points to sample for retraining the model? How does the role of a machine learning engineer differ from data engineers and data scientists? Contact Info Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Links Hydrosphere Machine Learning Engineer The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast |
Data Engineering Podcast |