Ali Lacy Sherrill

The latest update for #SnowflakeDB includes "Celebrating Innovation and Excellence: Announcing Snowflake's Data Drivers" and "Introducing Snowflake Notebooks, an End-to-End Interactive Environment for Data & AI Teams". #analytics #BusinessIntelligence https://lnkd.in/dH8h5ftY

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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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In today’s #TechnicalTuesday article, Chris Hastie walks you through how to establish your own connections from Snowflake to the Matillion ETL API to trigger jobs. To be more specific, Chris shows you: ❄️ How external access in Snowflake works 🌐 How to configure an outbound network rule 🔗 How to set up an external access integration 🔒 How to attach optional security components: secrets for a Matillion ETL API ⚙️ How to trigger Matillion ETL jobs in a stored procedure Why is this important? This stored procedure could be beneficial in various scenarios, such as: ⏰ Triggering a job as part of a scheduled task 🔄 Triggering a job as part of a wider set of stored procedures 📥 Triggering a job when a stream detects new data from a snowpipe Read the full step-by-step guide below. https://lnkd.in/ggnvQBXu

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✨ Master AI in Snowflake: Enhance Your DBT Workflow ✨ Our Senior Data Engineer, Jaime Andres Salas, guides you in integrating LLMs with Snowflake Cortex into your DBT transformations. Key points: 🔹 Sentiment analysis with AI 🔹 Join sentiment data with reviews 🔹 Create recommendations for feedback https://hubs.ly/Q02BX1sW0 👉 Read the full article #AI #Snowflake #DBT #DataScience #LLM

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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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Databricks Clean Rooms, powered by Delta Sharing, enables organizations across industries to collaborate with partners in a privacy-safe manner without relinquishing control over sensitive data. Key features: ✔️ Any language, any workload ✔️ Any cloud, no replication ✔️ Any scale, any trust level Learn how it works👇

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Bi-directional data access between Snowflake and Fabric offers an exciting partnership. I assume this brings enhanced interoperability, reduced complexity and costs, increased access to tools and applications, and improved data insights. Excited to hear of any Snowflake announcements at the Summit. #Snowflake

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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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Migrated your data warehouse to Snowflake but lost critical Excel functionality? Many companies moving away from legacy OLAP engines like SSAS struggle to replicate the direct query capabilities their users rely on in Excel. Join our webinar on Wednesday, July 17 at 9 am PT | 12pm ET to discover how Cube Cloud is bridging this gap with Snowflake! ❄ We'll discuss: 🔹 The importance of multidimensional analysis in various disciplines 🔹 Challenges of migrating from legacy OLAP engines to Snowflake 🔹 How Cube Cloud enables direct query access between Excel & Snowflake Register now 👉 https://lnkd.in/dS8NfJXK #Snowflake #Excel #DataAnalytics #OLAP #DataMigration #CubeCloud

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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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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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Data Engineers! Want to hear the latest on #news like Snowflake's acquisition of DataVolo?? Look no further!! https://lnkd.in/exec7a4b Plus great, curated data content almost 5,000 other data practitioners are getting straight to their inbox every week 🕊️ #dataengineering #analytics #datanews

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Step into the lakehouse by tuning into our latest interview: The Databricks Data Lakehouse with Josh Miramant 📼 ☑ Discover how Lakehouse architecture merges the best of data lakes and warehouses to offer enhanced governance, scalability, and accessibility: ☑ Understand Lakehouse basics and its transformative benefits. ☑ Explore essential tools like Delta Lake, Apache Iceberg, and Apache Hudi. ☑ Learn best practices for effective implementation in your business. 🔗 https://lnkd.in/e9PQNEVr #DataManagement #Data #LakehouseArchitecture #Innovation #Databricks #DataScience

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We are excited to announce the General Availability of Row and Column Level Security in Unity Catalog on AWS, Azure and GCP! This is your gateway to a new world of unified data security, where you can confidently share data with multiple users and groups, all while maintaining control and ensuring that sensitive information remains protected. Read the full blog post to learn more about how you can enable fine-grained access controls using Row Filters and Column Masks.

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Learn how to create custom nodes, leverage dynamic tables, utilize Cortex forecasts, and maximize Snowflake's features within your data pipeline. Read Justin Delisi's blog to discover how Coalesce can transform your data engineering processes today! 👇 https://lnkd.in/gERrwR2a #DataEngineering #Snowflake #Coalesce #DataPipeline #MachineLearning #AI 

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Introducing Databricks LakeFlow, a new unified, intelligent solution for data engineering with everything you need to build and operate production data pipelines. LakeFlow simplifies data engineering—from data ingestion to transformation and orchestration—so data teams can scale to the ever-growing demand for reliable data and AI.

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Introducing Databricks LakeFlow, a new unified, intelligent solution for data engineering with everything you need to build and operate production data pipelines. LakeFlow simplifies data engineering—from data ingestion to transformation and orchestration—so data teams can scale to the ever-growing demand for reliable data and AI.

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