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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💥 Kerrunch! That's the sound we imagine every time we run the world's first data lake compression service. Check out how Granica Crunch works by testing our new interactive demo: https://bit.ly/3W0opsl #cloud #AI #DataDriven

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Looking to get started with in-database machine learning with MySQL HeatWave? This guide will help get you on the right path. https://lnkd.in/gPjuJU9g

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Watch Palantir Developer Chris Jeganathan as he builds with AIP in real-time. In this video, he walks through writing TypeScript code to fetch data, how to stream data into AIP, containerizing a TypeScript ingestor using Compute Modules, and using pipeline builder to hydrate the ontology. https://lnkd.in/gxvxNpAX

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While Harnessing the power of #GenAI is primarily a Dev job, it does require new Dev paradigm, knowledge and toolbox. Here's an awesome article with hands-on walkthrough for Devs on how to learn/Use #Autogen with #Promptflow to create powerful Multi-Agent LLM-based #AI Applications by Sunil S. https://lnkd.in/gmxc-A5Q

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🚨 Is your data engineering workflow holding you back? 🚨 MotherDuck and Dagster Labs are teaming up to discuss the secrets of modern data engineering. We'll cover: - Crafting an end-to-end data platform with Bluesky data, MotherDuck, and Dagster - Proactively solving problems with "shift-left" testing to catch issues early - Practical automation strategies to streamline your workflow and boost productivity 📅 January 14th ⏰ 9:00 AM PT ☑️ Registration link in the comments

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Our new research report, "Key Value Stores: Adoption Trends Through a Valkey Lens," reveals industry-first insights into customer sentiment regarding Redis's decision to revoke the open source status of its key-value data store software. Explore key findings and takeaways below. https://bit.ly/3Y7Havn via TFiR #Valkey #OpenSource #database

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🚀 Ready to build modern, intelligent applications with relational knowledge graphs and advanced AI in Snowflake? Join Molham Aref, CEO of RelationalAI, and Jay (JieBing) Yu, PhD, VP of Applied Research, for an informative Build Session on November 14th at 1:00 PM PST: “Building Mission-Critical Intelligent Applications with Relational Knowledge Graphs in Snowflake.” What to expect: 1. Create a digital twin of an enterprise with knowledge graphs. 2. Implement sophisticated business logic directly inside Snowflake with rule-based reasoning, graph, prescriptive, and predictive analytics. 3. Simplify the complex. 🗓️ Register now to secure your free spot. https://hubs.li/Q02XwFPZ0 #Snowflake #IntelligentApplications #DataAnalytics

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#GraphThat Episode 3 "GenAI and Knowledge Graphs" is now available on the Amazon Web Services (AWS) YouTube channel! Learn more about RAG, GraphRAG, and how you can use LLMs with an existing Knowledge Graph, no vectors or raw text required! https://lnkd.in/gqCRbxeH

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How do Meta Agents and Inner Agents collaborate to break down complex tasks? This flowchart illustrates how #TaskGen simplifies workflows by passing subtasks between agents, executing functions, and storing results in shared memory. Learn more in our latest whitepaper! https://lnkd.in/gWeKRxhs #AI #Automation #Cybersecurity #TaskAutomation #SharedMemory #SimbianAI

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Vibrant Planet 🌎 is helping make the world’s ecosystems more resilient with fully-managed #ApacheAirflow from Astronomer. #VibrantPlanet uses geospatial processing to collect massive amounts of data from global forests, orchestrating everything through #Airflow. They starting off self-hosting their own environments but quickly needed to scale, and turned to Astro 💫 💬 ️"It's been a resounding success, mostly we have more engineers that can focus on our geospatial operations and less on managing and keeping our infrastructure alive," says Cyrus Dukart, Engineering Lead. Check out the video to learn more 🖥️ 🌲 #DataEngineering #DataOrchestration #ModernDataStack #DataWorkflows #DataPipelines

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"LLMs don’t reason like humans—understanding that is key to unlocking their true potential in the real world." — Drew Banin. In this insightful conversation, Drew explores how dbt Labs transformed cloud data workflows, the evolving role of semantic layers in AI, and how vector embeddings are changing the game. He also dives into the limitations of LLMs' reasoning and why prompt engineering might become less crucial as AI continues to evolve. This is a must-listen for anyone interested in how data and AI are shaping the future. To listen to Drew, click here :

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Join PyTorch at Snowflake's #DataCloudDevDay on June 6 in San Francisco to learn how to accelerate GenAI performance with Native PyTorch. Register: https://hubs.la/Q02xQStt0

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📣 At Databricks, we want to help customers build more #inference-friendly #llms. Our MixAttention architecture demonstrates that reductions in KV cache size make it possible to maintain model quality while improving inference speed and reducing memory footprint. Read our latest blog post to learn more: https://lnkd.in/gcHxM4DX

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Thanks for having us on the show, Simon Maple and Tessl! On this episode of The AI Native Dev, Omer Rosenbaum and Simon broke down the best ways to leverage AI for code documentation, especially when it comes to legacy languages like COBOL. Listen/watch the entire episode here (or wherever you get your podcasts!)→ https://lnkd.in/earhGr6f

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Question: Considering migrating to Unity Catalog? Curious about potential errors or the rollback process? Watch this quick clip of Blueprint's Databricks Champion, Shannon Lowder, explaining just how easy it is to manage and reverse a migration if needed. #unitycatalogmigration #ucmigration #unitycatalog #databricks

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