TopQuadrant’s Post

Curious how you can uncover the hidden social connections between prominent tech figures just from their resumes? With GraphRAG, powered by Snowflake and RelationalAI, you can effortlessly extract, visualize, and analyze their relationships, delivering precise insights. 💡 Explore Snowflake's Architecture Reference below and start building your own social graph today! Key Highlights: ✅ GraphRag Integration: Seamlessly integrates with Snowflake, enabling efficient graph processing and analytics. ✅ RelationalAI's Capabilities: Combines relational and graph databases for advanced data modeling and querying. ✅ Actionable Insights: Identify influential connections and trends within the tech industry. Start building: https://okt.to/SsyY5g #Snowflake #GraphRAG #RelationalAI #SnowflakeCortex #Llama #SocialGraph

when we realized we needed an ontology, we took inspiration from the best parts of existing systems, including these four: Palantir Technologies’s ontology UI, with an intuitive entity canvas Tobiko’s SQLGlot, translating universally across syntaxes of SQL Looker’s LookML, the pioneer of metric/dimension modeling Tableau’s LOD, which tames the chaos of fan-outs across join paths the data space is full of good ideas, but architects often over-focus on specific improvements and miss the forest for the trees a useful ontology needs to be a map of every asset you have. every table, every action, every metric, every dashboard that means combining the best of every world

Happy Labour day - In line with of the theme of celebrating work goals / achievements, I'm posting my thoughts on the Unified Namespace (UNS) webinar I attended last week hosted by Walker Reynolds and Zack Scriven. Although I am not an engineer or developer, it was a thoroughly enjoyable session. 3 things that stuck with me: 👔 The need for talent to move from being a single tech layer specialist to having full-stack fluency in the wider systems architecture. 🤖 The use of data to train a system (ML) from past states, monitor present state, and then model / predict future states. Amazing application in manufacturing, particularly with maintenance in mind. 🚀 Using UNS as a strategy to implement Digital Transformation - with the goal of leveraging the data you're generating every day but don't consume. This exponentially increases the knowledge of the business through data. Thank you for hosting. #UNS #Unifiednamespace #digitaltransformation #ML #MES

Fragmented datasets across platforms pose a significant problem for every industry. Narrative has solved this issue with our Rosetta Stone technology. Check out Part 1 of our blog series to delve deeper into this challenge, our solution, and the substantial benefits it offers. https://bit.ly/4eF4fei #DataCollaboration #RosettaStone #Narrative #DataInteroperability #DataStandardization

Often when I am slogging my way through imperfect architecture, tools, documentation, business processes and the like, I conjure an image in my mind of Jimi Hendrix at a gig being handed a beat-up old guitar. The foldback is terrible, the lights are blinding...he still plays his best, rises to the challenge, and does what he was paid to do. The crowd goes wild. Now, I'm not saying I have Jimi Hendrix level skills in my profession. But I am saying, I respect it when people don't blame their gear or environment and find a way to do the thing. Real 'blockers' are rare in the data game. #data #continuousimprovement

I love technical blogs that share the details of how engineers build solutions and solve complex problems. As my mind races reading all the detail, I find myself asking questions, diving deep into new topics and generalizing solutions to fit my own use cases. I often discuss these posts with co-workers and industry friends, sharing my thoughts and hot takes, and the feedback I always get is - you should write it up. So I decided to start a new series I call Unpacking. Each week, I'll pick a technical blog post solving a data engineering problem and unpack it by writing up my thoughts, unanswered questions, and even go down some technical rathole or two. What do you think, is this something you'd be interested to read? My first post is coming out on Thursday and you can get it by subscribing to my substack at royondata.substack.com

Join us in this #masterclass next week to learn how #lifesciences companies overcome their data & AI challenges with Snowflake!

🚀 From Canvas to Code: Transitioning from Problem to Solution Space in Data Products 🚀 My next post is all about transitioning from the problem space into the solution space. Here's a sneak peek: 💡 Slice Thin for Quick Wins: Deliver value fast. 💡 Simplicity over Complexity: Stay focused on outcomes, avoid over-complication. 💡 User-Centric Focus: Build with your customers, not for them. 💡 Governed & Reusable Solutions: Focus on scalability, reusability. Link below 👇 #data #dataengineering

As geospatial data explodes in volume and importance, many organizations struggle to extract timely insights from this vast resource. In a recent whitepaper, 'Finding Advanced Geospatial Solutions for Major Problems,' we explore the four key challenges hindering geospatial teams: 1. Limited scalability: Traditional tools buckle under the weight of massive datasets. 2. Sluggish performance: Insights come too slowly to support crucial decision-making. 3. Fragmented workflows: Disconnected tools hinder collaboration and innovation. 4. Restricted access: Non-specialists are locked out of crucial data insights. Here's the good news: HEAVY.AI empowers you to overcome these challenges with advanced geospatial software solutions. Find out how: https://bit.ly/456Ysd7 #GeospatialData #DataScience #BigData #DataAnalysis