Gary Cronin’s Post

Hey folks i want to share a key takeaway from my ongoing journey in Data Engineering! During week two of the DeepLearning.AI Data Engineering certification by Joe Reis, I had the privilege of learning from Barr Moses about the transformative power of DataOps and the critical role of data quality. 🚀 Barr's work on building Monte Carlo is nothing short of inspiring—this "lifeguard" for the data ecosystem is a game-changer for ensuring trust in data. 🌊 Rather than me spoiling all the insights, I’ll let you dive into. Check out this must-read blog post about data observability and why it’s essential: What is Data Observability? https://lnkd.in/drvCVQZR Let’s keep the conversation going—what are your thoughts on DataOps or data quality? 💡 #DataEngineering #DataOps #DataQuality #DeepLearningAI #MonteCarlo

Struggling with scattered data systems? You're not alone. Many businesses face challenges managing #data effectively, but a strong foundation can turn chaos into clarity. In our #insights article, Principal Software Architect Matt Wright discusses how to simplify data structures, improve access, and drive better business outcomes. Discover the steps to a smarter #datastrategy at https://lnkd.in/ePxi-ZYX. #DigitalTransformation #ITconsulting #DataConsulting

Despite the "unconventional summer" period I spent, I managed to take some time to write. Writing is something I like so much, but it takes me ages to find the calm and the inspiration to do it, so I'm always looking for long periods of reflection. Need to improve on that! This week, I have just published a (first of a series) article about a topic that is very relevant: Data, Data Products, and how they are embedded in #PlatformOrganizations thanks to the #datamesh paradigm. With me, incredible value was provided by the co-authors Paolo Platter and Andrea Gioia, the most relevant voices around the Data Mesh topic, and Simone Cicero, who also pushed me to "keep it simple and short"! (Didn't manage, but it's my fault). Enjoy it and stay tuned for the next issues, we will explore further sides of Data valorization in complex organizations. https://lnkd.in/dSeS636J

In today's data-driven world, organizations are grappling with the challenges of managing ever-increasing volumes of data from disparate sources. Siloed data, complex architectures, and the lack of a unified analytics platform often lead to inefficiencies, increased costs, and delayed time-to-insight. We've all been there, right? Trying to make sense of heaps of data and wishing it was simpler. Sometimes it feels like trying to solve a jigsaw puzzle with missing pieces. Annoying, I know! Well, guess what? I've got some good news that might just be the missing piece we've all been looking for. ✅ 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲 - https://bit.ly/42TF2YN 📆 On Wednesday, March 20th, at 2:00 PM ET (yep, that's 11:00 AM for my PT friends), there is a webinar that's all about making data work smarter, not harder. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝗱 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀 Pulkit Chadha, Architect, Databricks & Author of Data Engineering with Databricks David P. Mariani, Founder & CTO, AtScale Join me  for this engaging webinar where we'll explore the practical benefits of the Databricks Data Intelligence Platform alongside the AtScale Semantic Layer. We'll delve into how the Lakehouse architecture provides a unified foundation for all your data needs. From a Data Engineer's perspective, we'll discuss strategies to optimize your Lakehouse investment and why the Semantic Lakehouse is gaining traction as a modern data warehousing solution. 𝗜𝗻 𝘁𝗵𝗶𝘀 𝘄𝗲𝗯𝗶𝗻𝗮𝗿, 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗹𝗲𝗮𝗿𝗻: 🔶 How to Democratize Data + AI across the enterprise with a Data Intelligence Platform 🔶 AI-powered Data Warehousing for Performance 🔶 Creating a tool-agnostic semantic lakehouse with AtScale and Databricks 🔶 Lower TCO and increase Data Engineering Efficiency 🔶 Building an AI-Generated Platinum Layer 𝗪𝗵𝗼 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗮𝘁𝗰𝗵: Data, AI & BI leaders and practitioners (e.g., Chief Data Officers, data scientists, data engineers, data enthusiast and BI/analytics professionals). Register today! - https://bit.ly/42TF2YN

I’m thrilled to have stumbled upon this article! 🌟 AnalyticsOps is the missing link that can seamlessly bridge the gap between raw data and actionable insights. David Menninger's piece on 'AnalyticsOps: The Last Mile of DataOps' brilliantly explains how this approach can transform your data strategy. Do you think your business could benefit from this boost? 🚀📊 #AnalyticsOps #DataOps #BusinessIntelligence #DataAnalytics #TechInnovation #DataStrategy

📊 Elevate your data science journey! Explore effective profiling, quality assessment, and experimentation for strategic business alignment. Learn how synthetic data and quality hacks revolutionize insights. Propel your organization towards data-driven success. Visit www.datadrone.biz for expert guidance. #DataScience #DataQuality #Experimentation 🚀

The data engineering landscape is evolving! 🚀 The shift from a “modern” to a “postmodern” data stack is reducing complexity and paving the way for productivity, AI integration, and enhanced governance. Explore insights from Matillion’s CEO Matthew Scullion and data expert Joe Rees on how this unified approach transforms data strategies.

📢 Unlock the Secrets of Data and AI 🚀 Over the past months, I’ve been on a mission to demystify data and AI—to make these concepts less overwhelming and more actionable for everyone, whether you're a seasoned executive, a tech newbie, or a curious non-tech professional. 🌟 Here’s what I’ve published so far on my Substack (and there’s much more to come!): 1️⃣ Edition Three: Feature Stores and Data Warehouses: Driving Actionable Insights 2️⃣ Deep Dive: What Is a Feature Model? Let’s Check the Fridge—and Beyond... 3️⃣ Data Stagflation Part 2/3: Unlocking AI's Full Potential: Overcoming the Hidden Challenges of Data Management 4️⃣ Data Stagflation Part 1/3: Lifting the Lid on Data Bloat 5️⃣ Edition Two: From Data Overload to Strategic Asset: Mastering Modern Data Management 6️⃣ Edition One:You Can't Manage AI if you are not measuring the Data My motivation? To inspire, educate, and guide readers like you. Whether it’s diving into the intricacies of feature stores, cracking open data governance, or unpacking the jargon surrounding AI and data bloat—my goal is to simplify the complexities. 💡 What’s in it for you? ✅ Better data literacy ✅ Practical insights into solid data and AI trends ✅ A mix of technical depth and plain-language explanations And the best part? It’s free to subscribe. 📬 I’d love for you to join this growing community and support my writing journey—it truly keeps me motivated to do more. 🖱️ Click here to subscribe: https://lnkd.in/eMSgJDE3 Thank you to all who’ve supported me so far. Your encouragement is invaluable! Let’s continue reimagining data, together. #DataLiteracy #AIInsights #DataGovernance #SubscribeAndSupport #ThePracticalArchitect

Exciting news! The Gradient Projects Dashboard is here to help data teams quickly understand the cost and performance of Databricks Jobs 🚀 Instant insights💡for data engineers and executives, including: 💸Compute spend across jobs, total savings, and ROI from Gradient 📈 Cost and runtime SLA match rate over time 📊 Advanced tagging and filtering options to boost productivity Read all about it in this post: https://hubs.ly/Q02JqnQP0

We sat down with Josh Hanson, the data scientist behind Clay's data transformation. 🚀 Josh shared how adopting Sigma helped turn scattered data into streamlined insights, empowering teams across the company and building a truly data-driven culture. Discover how Clay unlocked their data’s potential: