DATAcated

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One of my dreams when I was starting out with DATAcated (in 2020) was to work with a couple of the companies listed on Gartner's Magic Quadrant for BI & Analytics. Four years into launching my company, I'm pleased to announce that I've had the honor of partnering with 14 out of the 20 companies listed here - that's 70%!!! I've added a little check to highlight the platforms that I was able to collaborate with - thank you for your support :) I'm on a mission to partner with the remaining platforms - hopefully THIS YEAR (Microsoft, Amazon Web Services (AWS), Alibaba Cloud, MicroStrategy, SAS, Google) - any introductions here are very much appreciated.

When you’re in the kitchen, working with ingredients with DIFFerent packaging and instructions (sometimes in various languages), it can be hard to figure out how to use everything to bake a cake that's WORTH EATING. In the DATA world, there’s a similar scenario - where data comes from various sources with different formats and structures. AtScale acts like an ‘expert chef’ who knows how to handle all these ingredients, regardless of their packaging or language. They help mix, blend, and bake everything into a delicious 'cake' using their semantic layer to streamline and integrate the data. There’s a webinar coming up on July 24 at 2pm ET where Keith Smith (Snowflake) and Dave Mariani (AtScale) will show how this 'expert chef' (semantic layer) works with the Snowflake Marketplace, a platform where businesses can share and access various types of data. Here's what you'll learn: ^How to easily understand / use different data sources (ingredients) ^How to seamlessly blend data, just like mixing cake batter ^How to create valuable insights (delicious cakes) from your data ^How to make data preparation fast and efficient, like having an expert chef in your kitchen No need for an apron! Just click the link to register now: https://bit.ly/3W7Ymj6 BTW - AtScale is now available as a Snowflake Native App in the Snowflake Marketplace!

Quick reminder that SnapLogic’s webinar: “Ready, Set, AI: 5 Best Practices for Deploying GenAI Applications into Production” is scheduled for July 17 at 12pm ET. Sign up here: https://lnkd.in/eJX6rHuH Matt Bostrom from Spirient and Jeremiah Stone from SnapLogic will talk about actual strategies for deployment and share lessons from real-world applications. They’ll also talk about overcoming integration challenges, ensuring the accuracy of results, and common pitfalls to avoid. I hope to see you there!

I’m working on the DATAcated Rising Stars Guide, an overview of emerging data visualization platforms that deserve more recognition. I’ve already compiled a preliminary list, but I need your help to make sure I don't miss any promising companies. Which innovative data visualization platforms do you think should be included in this guide? Comment below or send me a message with your recommendations! Let’s help these rising stars get the visibility they deserve and provide our community with fresh insights and new options in the data viz space. Your input is invaluable! #dataviz #startups

Get ready for the DATAcated Rising Stars! Originally planned a comprehensive guide on data viz tools, but now I'm spotlighting the "Rising Stars" not on the Gartner Magic Quadrant! Get fresh insights on innovative and emerging data visualization platforms. Subscribe on Substack for exclusive updates! https://lnkd.in/eXdmFUzN #DataViz #DataScience #TechTrends

Just finished “Get Different” by Mike Michalowicz, and it's got me thinking: If there were no limits on resources like time and money, how would you market differently? One idea I had: Message all Chief Marketing Officers and Growth Officers of data analytics and software companies through LinkedIn InMail. For authors: Review similar books on Amazon, and sign off with your book title for almost free marketing. Intrigued? There’s so much more to explore. Sign up for my Substack to dive deeper into these unconventional marketing ideas: https://lnkd.in/eXdmFUzN

Thanks Amazon Web Services (AWS) for letting me adopt TWO special unicorns 🦄 🦄

Here is how you can have your own AI assistant in minutes, for free, in just a few simple steps! Step 1: Go to You.com Step 2: Select ‘More’ Step 3: Click ‘Add New’ Step 4: Choose from leading language models Step 5: Name your AI assistant (that’s the fun part) Step 6: Provide instructions to guide its operation I created my own assistant called “Break it Down” to simplify any topic into 3 short bullet points. Try it for yourself here: https://bit.ly/3xGRP5u