Lisa Jung

Today we're taking the powerful data tools we've built for technical practitioners, and opening them up to everyone! We're releasing end-to-end no-code workflows with: ∑ 𝐒𝐩𝐫𝐞𝐚𝐝𝐬𝐡𝐞𝐞𝐭-𝐬𝐭𝐲𝐥𝐞 𝐜𝐚𝐥𝐜𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 🧮 𝐃𝐚𝐭𝐚 𝐛𝐫𝐨𝐰𝐬𝐢𝐧𝐠 🔏𝐔𝐩𝐝𝐚𝐭𝐞𝐝 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 🔮𝐀𝐈 𝐬𝐩𝐞𝐞𝐝 𝐚𝐧𝐝 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭𝐬 These new workflows live right alongside our existing SQL, Python, and AI tools, so everyone— regardless of technical experience— can come together in Hex to ask and answer questions with data. Watch the launch video below, and check out the blog in the comments for all the details! https://lnkd.in/gdpHuAYb

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Developers love Redis because it’s fast. Liftoff uses Redis Cloud as a high-availability, low-latency database, increasing their ROI by improving ad relevance and quality. Hear more about the benefits of their improved ad relevance and quality straight from the director of engineering at Liftoff Mobile. Learn more about Liftoff's soaring ad exchange with Redis Cloud's low latency: https://lnkd.in/gAWBScEk

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🌟 Master Terraform Resource Lifecycle Management 🌟 🚀 Check out my latest blog: "Taint, Untaint, and Replace in Terraform: A Guide to Resource Lifecycle Management"! In this post, I’ve explored essential Terraform techniques that help ensure smooth infrastructure provisioning and management. Whether you’re troubleshooting, updating, or rebuilding your cloud resources, understanding these concepts is key to maintaining a robust infrastructure-as-code (IaC) workflow. 🔑 Key Highlights: 1️⃣ Tainting Resources: Forcefully mark resources for recreation without modifying the code. Perfect for fixing misconfigured or failed deployments. 2️⃣ Untainting Resources: Undo tainting to preserve existing resources and avoid unnecessary recreation. 3️⃣ Replacing Resources: Explicitly trigger the replacement of resources with real-world use cases and examples. 4️⃣ Best Practices: Tips for using these commands effectively. 📌 Why Read This? Gain deeper insights into Terraform’s lifecycle commands and elevate your IaC skills to efficiently manage cloud environments like a pro. 💡 Read the full blog here: @Medium: https://lnkd.in/gkpAp6QC @Hashnode: https://lnkd.in/gUz2sDSd 👉 Don’t forget to like, share, and drop your thoughts in the comments! 📋 Tags for Reach: #Terraform #CloudComputing #DevOps #InfrastructureAsCode #AWS #CloudEngineering #Automation #IaC #HashiCorp #CloudManagement #DevOpsTools

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The final deep dive on change query support in the table formats is ready. This one covers Apache Paimon, focusing on understanding the change query support through the lens of its internals. https://lnkd.in/dFfM_8nA

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New blog post by Alex Monahan: Benchmarking Ourselves over Time at DuckDB The DuckDB team's philosophy is to ensure correctness first, then iterate and optimize to improve performance. This blog explores how this happened over the last three years when DuckDB became approximately 3-25x faster and 10x more scalable. Read more at https://lnkd.in/dnQ7Nya8

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Are you considering migrating from #Redis Cluster to a single instance Dragonfly setup? Join our developer advocate Joe as he shares tips, tricks, and best practices for a smooth transition. Don't miss out on this insightful discussion. Watch the video here: https://hubs.la/Q02vV9b00

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💡 Optimizing Costs with Dragonfly: A Technical Breakdown 💻 For technical teams looking to maximize performance while minimizing cloud infrastructure costs, Dragonfly offers significant advantages. By cutting down memory overhead, leveraging CPU-specific optimizations, and using a shared-nothing architecture, Dragonfly is designed to be resource-efficient while maintaining high throughput. Whether you’re scaling horizontally or aiming to optimize performance, Dragonfly can help you reduce operational costs without sacrificing speed. In this blog, we break down the technical strategies that Dragonfly uses to cut costs and improve efficiency. 🔗 Read more here: https://hubs.la/Q02RDNVr0 #CloudOptimization #TechEfficiency #DevOps #DatabasePerformance #Dragonfly#CostReduction

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Apache Airflow's open-ended nature allows for great customization but can lead to challenges in scaling, testing, and debugging. Join Bhavani Ravi, Independent Software Consultant, as she covers key factors for data teams setting up Airflow. https://airflowsummit.org/ #DataEngineering #ApacheAirflow Apache Airflow

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Confluent's Tableflow is getting closer and closer to GA. Materializing Kafka topics as Iceberg tables, but with a great deal of thought around schema conversion, schema evolution and such. It's amazing how much work goes into making a product robust to schema changes. After the initial announcement I wrote two articles explaining Tableflow and its role in the future of bringing operational and analytics planes together. * Tableflow: the stream/table, Kafka/Iceberg duality: https://lnkd.in/gZbQ2cZ8 * Hybrid Transactional/Analytical Storage: https://lnkd.in/dTg6DKVy

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Anti-Complex Kubernetes: Open Source and Cloud Native – October 31 🚀 Platform builders and engineering leaders, this one’s for you! In this deep-dive session, we'll explore strategies to reversing the complexity in Kubernetes. Joining us this episode is Phill Gibson, Sr. Product Manager at Azure. He’ll share insights on what’s working—and what’s not—in the battle against cloud native complexity. 📅 October 31 – mark your calendar! 🔗 https://hubs.ly/Q02VmzPd0 #CloudNative #Kubernetes #DevOps #OpenSource #PlatformEngineering #TechLeadership

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In this tutorial we’ll present a CDC pipeline with Kafka to stream changes to a Snowflake Lakehouse in Real Time

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🚀 Automate Your CI/CD Pipeline with Snowflake and GitHub Actions 🚀 Our Senior Data Engineer, Jaime Salas, shares an insightful guide on integrating GitHub Actions with Snowflake to streamline your CI/CD pipeline. Learn how to: 🔹 Set up key pair authentication 🔹 Create and manage Snowflake users and schemas 🔹 Automate tests and merges using GitHub Actions Enhance your development workflow with these powerful automation techniques! https://hubs.ly/Q02BWXC10 👉 Read the full article #DataEngineering #Snowflake #GitHubActions #CICD #Automation

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Join Neal Ford and his guest Pramod S. on May 9 at 12 p.m. ET to get an expert perspective on what the future holds for data-driven architecture. Big data is getting bigger all the time, so you know you’ll have to support a data-driven strategy at some point, but what will that entail? https://bit.ly/3Qd6wU8 #softwarearchitecture

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Explore the Power of Redis Released 2024 on August 23rd. It is an opportunity to connect with Redis experts, dive into the product roadmap & learn from top brands how real-time technology is shaping the future of app development. Learn more. https://lnkd.in/dcwJXrzJ #Event #EventAlert #technology #DailyDose #FollowUs #StayTuned #StayConnected #trending #trendingnow #trendingpost #explore #explorepage #TechDogs

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Using denormalized data in a document database? Learn how to update denormalized data across Cosmos DB containers using Durable Azure Functions and the change feed. #azure #azurefunctions #cosmosdb

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𝐍𝐨𝐫𝐭𝐡𝐟𝐥𝐚𝐧𝐤 𝐬𝐞𝐜𝐮𝐫𝐞𝐝 $22.3𝐌 𝐭𝐨 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐜𝐥𝐨𝐮𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 With a Kubernetes-based self-service platform, it empowers developers to build, deploy, and scale workloads without the complexity of brittle tools or rigid third-party platforms. Trusted by companies like Sentry and Writer, Northflank streamlines DevOps, lowers barriers for engineers, and raises productivity. 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐚𝐧𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 𝐩𝐫𝐨𝐬: 𝐖𝐡𝐚𝐭’𝐬 𝐲𝐨𝐮𝐫 𝐠𝐨-𝐭𝐨 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐲𝐢𝐧𝐠 𝐜𝐥𝐨𝐮𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭, 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐜𝐨𝐦𝐩𝐚𝐫𝐞 𝐭𝐨 𝐍𝐨𝐫𝐭𝐡𝐟𝐥𝐚𝐧𝐤? Andrej Vasilj, Martin Swanson, Paolo Fantini PhD, Krešimir Merdžo, Nicola-Jane Brooks, Modo Money, Igor Krstelj, Kevin Race, David Carmalt, Abdirizak Hersi,. #CloudDeployment #KubernetesInnovation #DeveloperTools. ------ 𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐡𝐨𝐰 𝐰𝐞 𝐃𝐨 𝐢𝐭 👉 https://lnkd.in/ed_mKpkF

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Telemetry Pipelines are the key to controlling the cost and chaos of your telemetry data. But what are the best ways to architect them? 🤔 🏗 Check out our newest blog post to get the full rundown: 👉 https://lnkd.in/gbUSyfRY

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👋 🛠️ Say goodbye to complex troubleshooting. With Synthia, the AI assistant built into Sisense's Compose SDK, developers get real-time guidance—no technical jargon needed. Whether you’re a seasoned coder or new to the game, Synthia makes navigating Compose SDK seamless, solving challenges and optimizing workflows faster. Start your 30-day free trial 👉 https://bit.ly/4dGzK7j #AI #SaaS #DataScience

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Join Grant Fritchey and me next week as we talk about #PostgreSQL stored procedures and functions. We'll talk about how to use them, some of the unique things you can do with both, and how they differ from #SQLServer. Hope to see you there! https://buff.ly/3YnQtXQ

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