Ryan Murray’s Post

My first (short) session on Microsoft Fabric is a fact. At #RaboEngineersWeek I presented this session aimed at managers and citized data engineers. Thank you all for joining. The recordings are available! Love to hear some feed forward! #RaboEngineersWeek #tshaped #DataEngineering #Azure

Hello All, I have created the following article in Medium that explains why Unity Catalog is Required and How to Create One. https://lnkd.in/gdkehFiu Hope this will be of help. #azure #azuredataengineer #azuredatabricks #azuredatalake #unitycatalog #data #databricks #dataanalytics #databrickslearning #dataarchitecture

Just recently renewed my Azure Data Engineer Associate certification, lot's of question on Synapse and I started to wonder "Is it Fabric going to replace Synapse?" According to MSFT, Fabric is not going to replace Synapse but just make it better ( check out this video https://lnkd.in/d4bQuAqm ). I have to be honest with you, what I've seen so far in Fabric from the Warehouse service, is still far far away to be able to replace Synapse, for instance, support for schema version control is not anywhere close to support production-like scenarios or something as simple as the IDENTITY property to implement surrogate keys is not yet supported 😒. I'm sure Fabric is here to stay, that's for sure, but I'm also positive Synapse will be around for a long time to, or at least, until Fabric catches up 😬 What you think? Let me know your thoughts ... I'll keeping sharing my observations here and in my blog #TechTacoFriday.

📣 New Blog Alert! 📣 In this blog, Tori looks at how #MicrosoftFabric can be used in #DataScience, comparing Fabric and #AzureSynapse and how each platform has it's place. Read more about her thoughts here: https://hubs.la/Q021KMTd0

Hello, AI and Data Enthusiasts! As the holiday season approaches, a time for reflection and considering new endeavours, have you ever wondered what it's like to be a Solutions Architect at Databricks? Our upcoming event is not to be missed! 🚀 We're delighted to invite you on 11 January 2024 at 15:00 CET to an exclusive fireside chat featuring our distinguished panel: Linda Weimann, Jiri Harazim 🇺🇦, Rosina Kazakova, Andreas Terörde, Dr. Philip Laserstein, Irfan Maroof, Matthias Ingerfeld, and Marco Metting. These leading Solutions Architects and leaders will provide an inside view of their daily life at Databricks. I'll be there, too, serving as your Moderator. ✅ WHO SHOULD JOIN? This event is perfect for Solution Architects, data scientists, software engineers, AI aficionados, and anyone intrigued by the transformative power of data, especially those using the holiday season to contemplate career changes. HR professionals and organisational leaders will also find value in understanding the synergy between people, experience, and technology. ✅ WHY JOIN? During this interactive roundtable, we'll explore topics such as personal growth, embracing diversity, engaging projects, maintaining work-life balance, and more. You'll get the chance to ask your most pressing questions! Additionally, you'll discover the unique culture that drives our success, characterised by intellectual curiosity, collaboration, and a commitment to extracting value from data. 💡 Embrace this season of change by joining us for an informative and stimulating session that could open new pathways in your career. Seize this opportunity to engage with our experts and gain real insights into the life of a Solutions Architect at Databricks! 🌟 Secure your spot now for an inspiring journey. We look forward to welcoming you. See you there! ✨ #data #ai #holidayreflection #careerchange #experience #success #hr #culture #collaboration #technology #event #people #datascience #diversity Toby Balfre, Nicolas Maillard, Amy Reichanadter, Arsalan Tavakoli, Ali Ghodsi, Jan Peterson, Volker Tjaden, Anton Groß, Samuel Bonamigo, Frank Reinelt

Characterize an unfamiliar dataset in #Kusto #365daysofADX #100daysofRTA - Day 310/58 Characterize the schema, range, and completeness of a dataset Kusto. Use queries to visualize data trends, and then share these queries and results with others. Learning objectives By the end of this module, you'll be able to: ✅Characterize an unfamiliar dataset using Kusto queries and web UI. ✅Share queries and query outputs. Link: https://lnkd.in/ejpRHxgn #Kusto #ADX #MSFabric #RTA #RealTimeAnalytics #KQL #KQLDB

DataKnobs is excited to be on the Databricks Marketplace. Now organizations can access AI-Twin for predictive maintenance on the #DatabricksMarketplace. Check out our listing here https://lnkd.in/gGCS5NaU #DatabricksMarketplace, #DataProviders,  #DataSharing