Brooks Hamilton

❄DATA CLOUD USER GROUP❄ As luck would have it, our next Snowflake Dallas User Group topic (which was selected several weeks back) is quite timely in light of recent events. 📣 Join us next Tuesday (May 28) to hear Sanjay Kattimani talk about business continuity and disaster recovery. Sanjay will give us a detailed exploration of Snowflake's disaster recovery capabilities, where he will delve into the advanced mechanisms designed to protect your data from unexpected disruptions. Our session will kick off with an in-depth look at Snowflake's features that enhance data resilience and support seamless business continuity. We'll cover key aspects of disaster recovery and demonstrate how Snowflake addresses potential data failure scenarios. 🌟 The demonstration will include: ➡ Replication Processes: Understand how data is replicated across accounts to ensure availability. ➡ Sample Account Failover: See how Snowflake handles a failover process in real-time. ➡ Sample connected application and its behaviors during DR events. Sanjay will also discuss strategies for automating the detection of disaster recovery events, as well as the steps involved in the failover and failback processes. ❓ The session will conclude with an interactive Q&A segment, allowing you to engage directly with Snowflake experts and gain insights into best practices and operational efficiencies for disaster recovery. 🚀 Come be a part of an amazing community -- Dallas is one of the local Texas user groups that is growing fast (there are also groups in Austin and Houston!). Everyone is welcome at our in-person Snowflake events, whether you're new to Snowflake or a seasoned expert. 😎 See you soon in Carrollton at the Dallas Makerspace! #datacloud #datasuperhero #snowflakesquad #disasterrecovery

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Did you know that "Big Text Data" accounts for nearly 80% of data scattered across the enterprise, housed in disparate siloed systems? Thanks to the Internet of Things (IoT), data has morphed into varying formats, and this category we call "big text data" includes things like labels, words, queries, sentences, reviews, documents, emails, comments, suggestions, complaints---and BILLIONS of text messages. Did you know that "big text data" does not play well with traditional RDBMS systems, previously relied upon as the defacto systems for engaging in data manipulation and querying using SQL? While relational databases (RDBMS) are perfect for storing and managing tabular, structured data with predefined schemas, "big text data" requires a more flexible place to live and be stored in. That's where Graph Databases comes in. Graph Databases are natively designed to handle and bring in data of all different formats for contextualized understanding, also providing an organized explanation for how the data all relates. A Graph Database's SUPERPOWER is its ability to take in and organize data into a readable format, connect the dots between the data points and then tell a story around how the interconnected data points know each other. At the heart of the graph is the most common denominator of them all, AKA Kevin Bacon, if we are referring to his Six Degrees of Separation theory 😁. A Graph Database builds a bridge for humans and machines to work together to master the art of Data Science. For those seeking to maximize knowledge discovery through data mining, a Graph Database is your best friend! We will count all the ways Graph Databases solve "Big Text Data" problems on my next post! 😍 #BigData #GraphDatabases #SolvingBigTextDataProblems #DataSemantics #SemanticLayer #UnstructuredData #KevinBaconTheory #EquitusAI #EquitusEnterprise

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Alex Jobin, Nikin Tailor, and Casey McSherry take the stage on August 14 for our next #RELEXTalks episode! Join our RELEX Solutions experts to find out how AI significantly improves forecasting accuracy. #AI #Forecasting

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The most effective data literacy programs focus on those who can immediately apply new skills in analytics, data science, and AI. Without that, many training efforts miss the mark, Kjell Carlsson of Domino Data Lab explains in Nathan Eddy's latest IT Pro Today article on how tailored upskiling is key to driving real impact. Read on to learn how closing the data skills gap can reduce productivity losses and improve decision-making. 🔗 https://gag.gl/wKR30r #DataSkills #AI #Upskilling #DominoDataLab #Productivity

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Great summary from our Tableau Conference - “The future of Tableau is all about delivering on where we came from with the analyst, this is the deep visualizations, data cataloging, data prep, etc.,” Ryan Aytay said. “But it’s also about bringing data and AI for everyone, every user like myself, because I’m of course a business user, but I need data to do my job.” Ryan Aytay, Tableau CEO, shares his vision for the future of Tableau and how the business will continue to stay true to it’s core while disrupting the #AI and #analytics space. More on this and what announcements were made at Tableau Conference 2024 in VentureBeat.

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As a Snowflake Alum, I was initially nervous with Snowflake's seemingly late entry into the Generative AI race. But my initial doubts have turned into enthusiasm lately as Snowflake's strategy appears to be taking shape. From its very beginning, everything Snowflake has introduced has been geared toward efficiency and ease of use, and it's clearly no different with their efforts in the Generative AI space. The true promise of Gen AI is not whether or not it can do your child's homework, but how it can be integrated into everyday business activities that drive growth and efficiency. With the launch of Arctic, Snowflake's vision for the future of Generative AI is becoming much clearer. Get your popcorn ready!!! #ITconsulting #technologyconsulting #Snowflake #TheGreenLeafWay https://lnkd.in/ej-Gm3HG

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During Qlik's webinar "The Economic Impact of Cloud Analytics," Boris Evelson, Vice President and Principal Analyst at Forrester Research, made a very valuable statement when he spoke with Brendan Grady: "You need to bring BI to where the user lives." He mentioned that this could be Salesforce, Teams, or any other platform where the user spends time. https://lnkd.in/gAG_mYFh The same applies to BI engineers. We need to bring #DevOps to where the #Qlik engineer lives. Therefore, the new #Gitoqlok "#QlikConnect" release will bring DevOps data to your Qlik environment in a sidebar. Would you like to: * Understand the usage of the sheet you are working on. Why are you making changes when this sheet has not been used for the past four months? * Search for expressions in the complete Qlik stack and autofill your Qlik window? * Get information about referenced and generated QVD files while working in the load script? * Understand that QSDA Pro has not evaluated this app for months, and there are still open issues? * Access history information and understand Jack and Rose's changes they made a few months ago? Just post what DevOps information is key for you when you develop in Qlik and we will see if we can present this information to you. In Qlik! The Power of Qlik is amazing! The total economic impact study reveals a 209% ROI using Qlik Cloud Analytics. Deliver this value faster with DevOps! Suppose you're eager to learn more about how the new Gitoqlok' Qlik Connect' release can revolutionize your Qlik experience, leveraging zero-touch version control and QSDA Pro. In that case, we invite you to visit our magical booth 900 at Qlik Connect. We are the Wizards of DevOps! #QlikLuminaryAlumni #QlikPartnerAmbassador Info QlikConnect Ian Crosland Thomas Hopp Alex Polorotov Rob Wunderlich Martin Tombs Sarah Urbiss Michael Fawcett

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Take a look at the commentary from our visionary CEO Mike Capone on Qlik's three decades of transforming data into actionable insights and read our 2023 Global Impact Report which showcases our commitment to #AI, innovation and making a global difference. 🌍

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We do a great job of explaining the “why” and the “what” behind transforming your business with Sigma Computing Join this webinar to understand “how” we can accelerate your time to Sigma value with fast & efficient migrations from your legacy BI tools.

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APIs are poised to revolutionize the way we interact with AI systems, and their importance cannot be overstated. As we move toward a future where AI agents will orchestrate workflows and experiences across our martech stacks, the ability to expose functionality via APIs will become crucial. **Key Takeaways** * APIs are essential for AI agents to interact with martech products, enabling automation and orchestration across the stack. * Currently, only 17.3% of martech platforms have great API coverage, presenting an opportunity for vendors to differentiate themselves. * The demand for APIs will increase as AI agents become more prevalent, driving the need for robust programmatic interfaces. **Putting it into Practice** The integration of APIs with AI systems will unlock the full potential of data, enabling AI agents to make informed decisions and automate complex workflows. This will not only streamline operations but also allow marketers to focus on higher-level strategic goals. By providing great API coverage, martech vendors can empower their customers to leverage AI agents more effectively, leading to increased usage and competitive advantage. The importance of APIs cannot be overstated in the Age of AI. As AI agents proliferate across martech stacks, the ability to interact with products via APIs will become the key to unlocking their full potential. This means that martech vendors must prioritize API development to stay ahead of the curve and provide their customers with the tools they need to succeed. **Your Turn** What questions do you have about the role of APIs in the future of AI agents? Have you had any successes or struggles in implementing APIs in your martech stack? Share your thoughts and experiences in the comments below.

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In the world of MA&D, data isn't just part of the conversation—it is the conversation. Salesforce's recent $11 billion dance with Informatica might not have reached the finish line, but it left us all with one clear takeaway: in today's data-driven market, overlooking the quality of your data could be the missed step that trips up your next big deal. If it isn't clear by now, data absolutely can't be an afterthought in the M&D process - it must be part of the central focus from the beginning. #DataFirst

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❄️ Come and hear how Snowflake uses DataOps.live for massive productivity gains for all its engineers. #data #dataops #analytics #dataproducts

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If you are a customer of Snowflake and Salesforce this integration is game changing. Deeper integration = more ROI as illustrated via 3 industry use case examples below. Data is only valuable to the Business if it’s Accessible, Actionable & can be used in the front office: 💪 Retailers can use Commerce and Service Cloud data w/ POS and supply chain in Snowflake 💪 CPGs can organize Marketing and Sales Cloud in Data Cloud w/ financial and transaction data in Snowflake; and share data via clean room 💪 Media orgs can use 1P data in Data Cloud to power media campaigns via Snowflake clean rooms or Data Cloud ad activations

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In a new Tableau and Salesforce survey of Americans, nearly half of Gen Z respondents said they feel anxious looking at their personal data. What can businesses do to ease this distress? They should offer three things: ✅ Training ✅ Time ✅ Access to data Go deeper on how:

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Our commitment to AI-driven solutions and strong alliances with Snowflake and Databricks are enabling significant advancements in data management and analytics. Check out this SiliconANGLE & theCUBE article where Rob Strechay and George Gilbert discuss how Informatica remains at the forefront of data management, consistently driving innovation and customer success:

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The results are in and what results they are!! Snowflake Q3,25 earnings results with more than $900M in product revenue (29% YoY), $5.7B in RPO (55% YoY) and 542 customers spending more than $1M each year with Snowflake A MASSIVE thanks to all our of partners that help us to delivery amazing outcomes day after day. But there is more.... We also announced our intent to acquire Datavolo which will make it even easier for customers to bring both structured and unstructured data to Snowflake. Plus we also signed a strategic agreement with Anthropic allowing customers to leverage industry leading Clause models within Snowflake Cortex AI. James Petter Alex D'Anna Karen Beauné

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