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Databricks Sees Compound Systems as Cure to AI Ailments Another well writeen article by Alex Woodie in Datarama "The solution, according to Databricks, is to build compound #GenAI applications that utilize the best of each #LLM. With today’s updates to its #Mosaic AI platform, Databricks says customers can string together compound AI systems that connect LLMs to customers’ data using vector databases, vector search, and retrieval augmented generation (#RAG) capabilities." https://lnkd.in/giuNi_5Q

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Here is a condensed version of my Braindate by e180 sessions at Databricks Data + AI Summit NVIDIA Spark RAPIDS in Amazon Web Services (AWS) EMR provides 2x-5x acceleration and 30% cost savings for the 25% most GPU friendly queries NVIDIA Spark RAPIDS in Microsoft Azure Databricks provides 34% cost savings Use NVIDIA Spark RAPIDS qualification tool to predict the speedup up your workload Use Speedata.io Spark workload analyzer to predict the speedup of your workload Speedata.io delivers 20x-200x acceleration and 50x better performance/$ than CPUs and GPUs

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🚨#SnowflakeSummit Booth Map Alert 🚨 I’m not even close to being packed for the Snowflake Summit next week, but I do have the info on some MUST-SEE booths to stop by: ❄️ Don't miss the opportunity to chat with Informatica. They created a new category of software, the Informatica Intelligent Data Management Cloud™ (IDMC); that connects, manages, and unifies data across virtually any multi-cloud or hybrid system. ❄️ Visit Domo to explore how they leverage Snowflake to enable users to simplify data management and access actionable intelligence through a native, bi-directional integration built on DOMO Cloud Amplifier. ❄️ Stop by Data Axle to learn how they help companies use clean business and consumer data to find their optimal audience, perform analysis, or power their own solutions. ❄️ With Sigma Computing, you don’t need to know SQL or Python to use Snowflake Cortex's forecasting functionality. They built a UI that allows Snowflake customers to access these features from a spreadsheet-like interface. ❄️ Be sure to visit Zenlytic to uncover powerful insights about your data and learn about their newly released Zenlytic Cognitive Layer. ❄️Visit Kloudgen to learn about how you can leverage InstaQuery to optimize your Snowflake queries for cost & performance. ❄️ Caution: Data Engineers at Play at Matillion's AI Data Playground. Stop by to learn about how Data Productivity Cloud helps you get even more out of Snowflake’s AI features, enabling faster, simpler AI pipelines. ❄️ Talk about all things customer data at the Redpoint Global Inc. learn about how their Customer Data Platform (CDP) works with Snowflake to make your data management super easy.

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Snowflake's pay-as-you-go model makes query optimization essential for eliminating inefficiencies. Understanding Cost Per Query (CPQ) can help you reduce waste and boost performance across your cloud data environment. Check out this blog to discover how you can start optimizing your Snowflake queries today! #Snowflake #CloudOptimization #DataEfficiency #CapitalOneSoftware #Slingshot

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Now GA: Row Filters and Column Masks in #UnityCatalog! Available on @awscloud, @Azure and @googlecloud. Streamline your data management, and make excessive ETL pipelines and data copies a thing of the past 👇

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I've just wrapped up a #QlikConnect mainstage rehearsal with my good friend Andrew (Drew) Clarke Clarke – General Manager & EVP of the Qlik Data Business Unit.      It's got me even more excited about what we're announcing in Orlando, FL next week. We’ll be onstage during CEO Mike Capone’s keynote speech on Tuesday June 4 with some big news. We’ll show you how to make AI real for your business, empowering you to seize every opportunity that comes your way and tackling your toughest challenges head-on.🌟     We’ll be joined by some of our brilliant customers who have driven success using Qlik. Including Susan Dean from Takeuchi, Sarvant Singh and Anthony Arana from Penske Transportation Solutions, Prashant Sahay from Genentech and Glenn Wilkins from Vanguard.     I can't wait. Will you be at Qlik Connect – June 3-5 in Orlando, Florida? Let me know in the comments 🤝     Not got a ticket yet? There’s still time: https://lnkd.in/e3ZtAp67    #Data #DataAnalytics #AI #ArtificialIntelligence #QlikCustomers 

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If you’re new to Snowflake or just need a hand keeping up with the rapidly evolving platform, here’s handy little diagram to explain the components of Snowflake and a video that expands on what Snowflake can do :) Altis Consulting has been working closely with Snowflake to bring great results for our clients and with our Snowflake Data Accelerator Framework (DLA), it’s now even easier to ingest and transform your data. Feel to reach out if you would like to learn more.

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Well written piece in Solutions Review by Tim King Why You Should Attend 🧠 For data engineers: Broaden your knowledge and expand your skills by learning from industry experts and your peers how to deliver high-quality, reliable data for every use case from BI to AI. 🧠 For data scientists: Learn how lakehouse and tools like MLflow can accelerate productionization of models, increase productivity, reduce risk and increase ROI on new models. 🧠 For data architects: Architects require a future-proof, unified platform that facilitates all analytics and AI on one data copy, catering to diverse data types while ensuring organization-wide security and governance. 🧠 For data executives: Learn how the lakehouse architecture unifies data, analytics and AI on a single platform for better performance, lower TCO and faster innovation. There is still time to register! https://lnkd.in/gKQ_84Sh https://lnkd.in/gYHDwHb5

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Join us for a demo on May 14 of Snowflake and Salesforce's bi-directional data sharing capabilities! Highlights include: - The advantages of this innovative zero-ETL approach and how it offers organizations the speed and reliability to run effective campaigns - Common use cases and how customers are putting the integration to use in their organization - A demo of how to get started querying Salesforce data in Snowflake and vice versa - How you can gain insights from unstructured data using Snowflake Cortex and DocAI and surface it in Salesforce https://okt.to/BAcTeb

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Still buzzing from an exciting week in San Francisco at the Databricks Data and AI Summit. This article gives a good summary of the biggest announcements from Wednesday's keynote (LakeFlow was on Thursday's keynote list).

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Databricks LakeFlow helps data teams meet growing demands of reliable data & hashtag #AI through: ✔️ LakeFlow Connect: Simple & scalable data ingestion ✔️ LakeFlow Pipelines: Efficient declarative data pipelines ✔️ LakeFlow Jobs: Reliable orchestration for every workload See how👇

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🧱 Databricks VS ❄️ Snowflake GTM strategies My friend Jason Saltzman from Live Data Technologies shared some great insights into the hiring patterns of two AI giants—Databricks and Snowflake. Here’s the TL;DR: Databricks has ~2x more eng talent compared to Snowflake. Snowflake has ~2x more sales reps compared to Databricks. This highlights two very distinct GTM strategies: 1) Snowflake prioritizes rapid sales team expansion to dominate market share. Their strategy is built around scaling their sales force in response to regional demand signals—a “feet on the ground” philosophy common in competitive markets. This approach allows them to capture opportunities with speed and precision, particularly in high-demand areas. 2) Databricks has focused on community-driven strategy and delivering exceptional product value. Their free, forever-accessible Community Edition lowers barriers to entry, making it easy for users to experience their platform. A self-service trial model lets anyone start using Databricks with just a credit card—no sales rep required. They capitalize on community endorsements to influence key decision-makers, like CIOs, which dramatically shortens their sales cycle. They believe that product quality can handle much of the selling, which is why they hire significantly more AI/ML talent compared to their competitors. Same industry. Totally different GTM strategies. What’s the takeaway? Your team should reflect your strategy. If you're building a GTM team make sure the profiles you are looking at have had success in similar GTM motions. Your sales leader should have experience with a similar approach—they’ll bring the insights and instincts needed to succeed without a long ramp time. And another thing these two companies excel at? Hiring customer-facing talent with strong technical acumen. I've said this a billion times but: you need to hire GTM talent that has relevant technical acumen. You can't sell what you can't teach. I’ve written about these two GTM strategies before. Check it out here: Snowflake: https://lnkd.in/g6j3QdQR Databricks: https://lnkd.in/gH2y_gkF And make sure you check Jason's post here: https://lnkd.in/gyWud5Yh Super cool stuff!!!! If you're hiring GTM in Data, AI/ML, HPC/ Compute, Cloud Infra - this is our jam. DM me if you need help

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"Everything starts with good data," shares Databricks' Sr. Director of Product Management Bilal Aslam at #DataAISummit. Unravel the 3️⃣-step recipe to achieving good data: Ingest, Transform, and Orchestrate. Watch his profound insights now in his recent keynote ⬇️

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There we are, the deal seems to be off as apparently the two sides could not agree on terms - aka Salesforce apparently was not willing to put the amount of money on the table that Informatica owners asked for. (NB: the rumor mill says that Salesforce was willing to pay "mid 30 dollar per share" - today the shares are down to 31.50). I can also imagine that Salesforce investors were not too happy with this plan, as on the short term profitability (and dividends) likely would have suffered. I still think that this would have been an interesting acquisition for Salesforce as its current data management capabilities are lacking, data management becomes ever more important in an #AI age - and this is exactly what Informatica can offer, on top of adding to integration capabilities. All in all I think that this is a lost opportunity for Informatica. Let's look what'll happen next.

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With rising cybersecurity threats, your data needs top-notch protection. The Databricks Data Intelligence Platform offers powerful new security tools to define, deploy, and monitor your workloads and keep your data safe. Discover how to leverage the top controls and new features to build a robust defense-in-depth strategy for your data and AI assets ⬇️

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Primary Key and Foreign Key constraints are now GA and enable faster queries. This release represents a big milestone in enhancing data integrity & relational data management in Databricks. Learn more: dbricks.co/4c3J4Rl

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