Harry Skeffington

Databricks' new Tabular Play has put Snowflake on the defensive, sparking fresh competition in the cloud data landscape. Curious about what this means for the future of cloud computing and data analytics? Dive into the full story to get all the insights! https://lnkd.in/gwdGJycD #CloudComputing #DataAnalytics #Databricks #Snowflake #TechNews #BigData #DataScience #MachineLearning #AI #DataWarehouse #DataLake #CloudStorage #Innovation #TechTrends #BusinessIntelligence #DataEngineering #CloudSolutions #ITInfrastructure #DigitalTransformation #TechIndustry #DataManagement #DataStrategy #FutureTech #TechUpdates #EnterpriseTech

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New Addition to NY Tech Week! 🌟 Since we're at capacity with our first event, we've expanded our #NYTechWeek lineup with a workshop that you can attend from anywhere: Data Spring Cleaning 101 - Turning Clutter into Clarity. 📅 Friday, June 7   ⏰ 11:00 AM - 12:00 PM EDT   📍 Virtual - Accessible from anywhere! Event Highlights: ▶ Guidance from Industry Experts: Fred Setra, a seasoned AI Engineer & Engineering Manager, alongside Sebastian Freiman, a skilled Data Solutions Architect, will be leading the workshop. ▶ Insightful Lessons: Equip yourself with strategies for effective data management, including how to conduct data health checks, optimize data structure and flow, recognize potential issues, and master archiving techniques. You Will Learn: ▶ Streamlining Techniques: Discover the latest tools and methods for organizing your data. ▶ Improved Decision Processes: Learn how to refine your data for better decision-making. ▶ AI Readiness: Prepare your data for the future of generative AI applications. Don't miss this opportunity to enhance your data management skills and transform your data from chaotic to clear! 🔗 Secure your spot here: https://lu.ma/22prqqoa #DataCleaning #AI #AIReadiness #GenAI #Analytics #Leadership #Innovation #DataAnalytics #NY #TechWeek #DataHealth #DecisionMaking #Strategy #DataEngineering Looking forward to seeing you there!

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Having the right tools for the job makes a project much more successful! Come explore this excellent new feature, Hybrid Tables, in next week's Snowflake ProTalk Register Today: https://hubs.ly/Q02tkQp40 #SnowflakeInnovations #DataTechnology #AI #AIWorkflow #AdvancedAnalysis #ProTalkSeries #DataInsights #Innovation #HybridTables

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How to analyze and explore data stored in Snowflake using R ❄️ In this tutorial, James Blair, Sr. Product Manager of Cloud Integrations at Posit, shares how to: 1️⃣ Set up an R environment inside of Posit Workbench running as a native app on Snowpark Container Services. 2️⃣ Use the RDB player interface to push computation into Snowflake, allowing you to access greater memory and compute resources than you typically would in a standard R session. 🔍 Explore more about the Snowflake and Posit partnership → https://lnkd.in/gt2QCs_i 🎥 Watch the tutorial on YouTube → https://lnkd.in/gh9P7wNm

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Unlock next-level data analytics with Snowflake and AtScale! Secure your spot for our exclusive July 24th webinar. https://bit.ly/3RTXpbP How to Optimize Enterprise Data Analytics Using a Universal Semantic Layer with Snowflake and AtScale Wednesday, July 24, 2024 2:00 PM ET (11:00 AM PT) | 60 mins Revolutionize your analytics with Snowflake + AtScale with: 🔹 Enhanced query performance  🔹 Seamless BI tool integration (Excel, Power BI, Tableau, Looker)  🔹 Advanced analytics, governance and security Featured Speakers 🔹Dave Mariani, Founder & CTO, AtScale 🔹Keith Smith, Principal Partner Sales Engineer, Snowflake You’re invited! As data volumes and complexity grow, achieving consistent, secure, and high-performance analytics becomes crucial for organizations.  This webinar will explore how AtScale, now available as a Snowflake Native App in the Snowflake Marketplace, empowers you to define and consume a universal semantic layer directly within your Snowflake account. In this webinar, we’ll cover: 🔹How AtScale's integration with Snowflake provides consistent business metrics for self-service analytics, enables OLAP-style multi-dimensional analysis, and improves query performance without the need for data extracts or imports.  🔹How AtScale’s semantic models, defined using Semantic Modeling Language (SML) or AtScale’s visual modeling interface, can be consumed by BI applications like Microsoft Excel, Power BI, Tableau, and Looker, as well as AI/ML applications and large language models (LLMs). Don't miss this opportunity to see how AtScale and Snowflake can transform your data strategy together.  Register now! https://bit.ly/3RTXpbP

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Think IBM DataStage is old news? THINK AGAIN!!! With IBM DataStage-aaS Anywhere, users can now integrate and access their data wherever their pipelines live. This enables users to execute their data pipelines within their own VPC and deploy the DataStage runtime on any cloud, data center, geography, and even on-premises. This deployment flexibility translates into compounding effects: Users reduce data movement by executing pipelines where data already lives, lower egress costs, and minimize network latency. As a result, users boost pipeline performance while maintaining data security and controls. If you haven't talked to IBM recently about DataStage, it's time for an update! Don't miss out on the ultimate deployment flexibility that IBM DataStage-aaS Anywhere offers! #ibm #dataintegration #datastage https://lnkd.in/eN85WKUE

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At the Tableau Conference 2024 in April, the "4th wave of analytics" was a keynote topic. In this clip from a recent "Sensemakers," Keith Helfrich and Jonathan Drummey unpack a bit more of what exactly 4th wave analytics might actually mean. #tableau #TC24 #TheSensemakers #TheActionauts #dataanalytics

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👀 Just a reminder for folks looking for a unified platform in the Microsoft data and AI tooling that automatically captures column level lineage at job and query runtime (including the columns used in an ML model to create a predicted value downstream!), Azure Databricks has you covered. 💪

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🎉 #Snowflake #Iceberg #DataVault 🎉 Join Will Riley at the next Snowflake Data Vault User Group to learn about building a Data Vault using Iceberg tables 🕧 When: May 15 @ 9AM PT/ 12PM ET/ 5PM GMT 🏠 Where: Virtual 💻 Register: https://lnkd.in/eejTbb_s @Snowflake #DataVault #IcebergTables

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Streamline your data management with Orbit ELT Data Pipelines for Amazon Redshift. Automate and sync your data seamlessly, ensuring real-time insights and efficient reporting. Learn how to unlock the full potential of your data warehouse with our expert guide. https://hubs.la/Q02yXW890 #Orbitanalytics #DataManagement #AmazonRedshift #ELT #DataAnalytics #CloudData #DataIntegration #DataWarehouse #BigData #CloudComputing #DataScience

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As we head into tonight's presidential debate, take a look at the excellent research coming from Duncan Watts and team at UPenn about the changing patterns of news consumption in the US, powered by Nielsen data. https://lnkd.in/gXiYRSky

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Super interesting to see the launch of Snowflake Arctic for enterprise customers, will be interesting to see how customers benefit in Performance to Cost of models vs likes of DBRX ❄️❄️❄️

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Check out this Q&A with René Haag of Syniti as he shares insights from a study developed with HFS Research, emphasizing the critical role of high-quality data for successful AI implementations. A key takeaway? The adage "garbage in, garbage out" has never been truer. #DataFirst

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Hey Databricks peeps!🐥 Mark down May 15th for a Data Modeling Webinar with Keith Belanger & Siddhesh Pore! Don’t miss this opportunity to learn: 🔺 Fresh updates for the Databricks SQL serverless warehouse 🔺What is data modeling and why it matters 🔺6 steps to data modeling Excellence in medallion architecture 🔺The benefits of upgrading to Unity Catalog 🔺How to leverage proactive model-centric Data Governance 🔺Live demo: Building a data model for Databricks SQL 🔺Q&A #SqlDBM #datamodeling #databricks https://lnkd.in/gXThVWsd

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Build your data science, ML, data engineering and analytics skills through webinars in the Databricks for Practitioners Series. Tomorrow’s webinar focuses on “Databricks Lakehouse Optimization: Tips, Tricks and Serverless Features.” They will demonstrate how to optimize your Databricks environment and improve what you can get out of the platform. Key topics will include: ·      How to use, diagnose and identify areas for improvement. ·      Common tips and tricks for optimization, from compute to data to code. ·      How to leverage new features (serverless compute, predictive optimization, etc.) to improve your platform performance. ·      How to monitor ongoing usage to ensure performance is stable over time. https://lnkd.in/egtJvQcy #DataScience #Lakehouse #ML #DataEngineering #DataAnalytics

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Are you considering a move to the Snowflake #DataCloud? This free guide from Passerelle outlines three core steps for implementing a modern data strategy with Snowflake. Hear first-hand from two regional banking institutions on how (and why!) they made the journey to data modernization. Read on to learn: 🔹 Five questions to ask when assessing your current data management practices 🔹 How to identify data champions and first use cases 🔹 How to create a single source of truth with your data 🔹 How to establish data access and security that promotes data accessibility in your organization 🔹 How Renasant Bank has modernized its marketing by activating their data with GrowthLoop's #composableCDP

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Introducing Databricks Assistant Autocomplete. Assistant Autocomplete real-time code suggestions as you type in SQL and Python. It uses context from code cells, Unity Catalog metadata, DataFrame data, and more to relevant suggestions as you type. This is a super cool time saver for databricks practitioners leveraging our AI Assistant!!!

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Identify and delete unnecessary Domo datasets in 15 seconds. Keep a clean kitchen. Keep a clean data warehouse.

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