Christopher Wu

Sovrn recently partnered with Databricks to make our privacy-compliant web browsing datasets available on the Databricks Marketplace. Keith Fagan, Sovrn’s VP of Data, sums it up perfectly: "In partnership with Databricks Marketplace, our clients can get the data they need quickly and efficiently, giving them back precious time to improve the bottom line." Read the press release: https://bit.ly/49ospIi

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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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We are LIVE at PASS Data Community Summit! Join us for Day 1 of Postgres Conference Seattle for a "Journey through Postgres" w/ Zak Tedder in Rm 420 or "Tips and Tricks for developers moving to PostgreSQL" w/ Eric Lendvai in Rm 422. Check out the full schedule here https://lnkd.in/estNqRHm #Community #Postgres #Data #peoplepostgresdata

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SaaS Daily Funding News $330m+ invested into the software industry. Details 👇 Cohesity - Series F - $150m - offers hyperconverged secondary storage for backups, test/dev, file services, and analytics use cases. NightVision - Seed Round - $5.4m - Web & API security testing company Dot Compliance - Series B - $17.5m - delivers the industry's first ready to use cloud-based quality and compliance management solution for regulated industries. HumanX - Seed Round - $6.m - focuses on AI serves as a catalyst for enterprises. PineGap.ai - Seed Round - $2.5m - an AI-powered equity research platform for Wall Street Qureight - Series A - $8.4m - an imaging analytics company. Ecotrak Facility Management Software - Series Unknown - $30.m - offers a mobile-first, web-based asset management SaaS platform to manage its facilities online. Clientell - Seed Round - $2.5m - offers no-code machine learning platform to analyze consumer data and predict behaviour Lawhive - Seed Round - $11.8m - on a mission to make legal help accessible to everyone. Apify - Series Unknown - $2.9m - a web scraping and browser automation platform that can turn any website into an API. Bridgewise - Series A - $21.m - aims to become the industry standard for equity research by applying advanced AI My Emissions - Seed Round - $1.6m - platform for food companies to accurately measure and reduce carbon emissions. Official carbon labelling partner of Just Eat. ClickPost - Series A - $6.m - a logistics intelligence platform that helps companies use data science to improve supply chain performance. Cozero - Series A - $6.9m - empowers companies to decarbonize and boost their business performance. GridBeyond - Series C - $55.3m - wireless energy management and control systems for retail, commercial and industrial users. Take2 AI - Seed Round - $3.m - AI-Powered job simulation platform for sales recruiting. #saas #software #startups #venturecapital #technology #startup

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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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Confluent's Field CTO, Kai Waehner, shares insights on the future of streaming analytics and data management, highlighting the importance of reliable data flow, collaboration, and security. Discover how Confluent's cutting-edge platform revolutionizes streaming analytics. Read the full interview: https://lnkd.in/gSMVCmvy #StreamingAnalytics #DataManagement #FutureOfData #BusinessIntelligence

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New feature alert! Users can now enable "Worker instance recommendations" to start optimizing both the # of workers and now the worker size (e.g. .2xlarge --> .4xlarge) for Databricks jobs clusters 🎯 In tandem with "auto-apply," all users have to do is enable and walk away. Gradient will do all the heavy lifting. 🔥 This addition to our search space provides even more optimization opportunities for our users 🌈 This is for both Amazon Web Services (#AWS) and Microsoft #Azure We've already gotten great feedback from our users, and this is just the beginning. Learn more in our recent release notes: https://hubs.ly/Q02wyqH80

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Want to hear from Intuit on how they are using AI? Avni Sharma and Todd Ekenstam are presenting at KubeCrash on October 9th! Intuit’s AI-Native Platform: Simplifying Kubernetes for Developers After running 3,000+ microservices and monoliths on Kubernetes for the last four years, Intuit is building its next-generation AI-native paved-road platform that will enable its developers to define app intent, and the platform will take care of the rest, thereby alleviating the developers from the K8s cognitive overload. We will share our end-user perspective on using Kubernetes and why abstracting networking and compute infrastructure and utilizing AI-powered application autoscaling will enable developers to focus more on what they excel at: writing code. This improves platform maturity and provides developers with an internal developer platform to deliver a delightful developer experience. Attending this talk will teach you how open-source projects, such as Open Application Model, Istio, Karpenter, Argo Rollouts, and Numalogic/Numaflow, can be integrated and extended to build your AI-native application platform, thereby paving a path for increasing our developer velocity by 25%. Don't miss the free, virtual event focused on cloud native / platform engineering! kubecrash.io

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🚨#SnowflakeSummit Booth Map Alert 🚨 I’m not even close to being packed for the Snowflake Summit next week, but I do have the info on some MUST-SEE booths to stop by: ❄️ Don't miss the opportunity to chat with Informatica. They created a new category of software, the Informatica Intelligent Data Management Cloud™ (IDMC); that connects, manages, and unifies data across virtually any multi-cloud or hybrid system. ❄️ Visit Domo to explore how they leverage Snowflake to enable users to simplify data management and access actionable intelligence through a native, bi-directional integration built on DOMO Cloud Amplifier. ❄️ Stop by Data Axle to learn how they help companies use clean business and consumer data to find their optimal audience, perform analysis, or power their own solutions. ❄️ With Sigma Computing, you don’t need to know SQL or Python to use Snowflake Cortex's forecasting functionality. They built a UI that allows Snowflake customers to access these features from a spreadsheet-like interface. ❄️ Be sure to visit Zenlytic to uncover powerful insights about your data and learn about their newly released Zenlytic Cognitive Layer. ❄️Visit Kloudgen to learn about how you can leverage InstaQuery to optimize your Snowflake queries for cost & performance. ❄️ Caution: Data Engineers at Play at Matillion's AI Data Playground. Stop by to learn about how Data Productivity Cloud helps you get even more out of Snowflake’s AI features, enabling faster, simpler AI pipelines. ❄️ Talk about all things customer data at the Redpoint Global Inc. learn about how their Customer Data Platform (CDP) works with Snowflake to make your data management super easy.

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Observe natively integrates with Snowflake Trail and continuously collects telemetry data. Observe for Snowflake provides complete visibility into the performance of Snowflake Data Cloud, UDFs, and Snowpark Container Services apps. In episode ten of of our #observability trends webinar series, Kyle Champlin and Daniel Odievich will explore how you can maximize performance and achieve compliance readiness in Snowflake with Observe. Register now: https://lnkd.in/gftXxx_4 (P.S. - If you can’t attend on the day, register anyway and we’ll send you the recording.)

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Try this quick demo to see how Cribl helps you optimize data ingestion and storage costs so you can manage your telemetry data growth: https://lnkd.in/e33Pk3nJ

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Struggling with high data ingestion costs and overwhelming log volumes? Cribl's interactive demo shows how to reduce data ingestion and optimize storage costs. Key Benefits: Data Reduction: Eliminate unnecessary log data to cut licensing and infrastructure expenses. Cost Optimization: Route data to cost-effective destinations, ensuring efficient resource utilization. Enhanced Performance: Streamline data pipelines for improved system performance and faster insights. Experience the demo to see how Cribl can help you manage your data more effectively. #DataManagement #LogOptimization #CostSavings #Cribl #DataIngestion #ITOperations #SecurityOperations

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🚀 Follow along this week as we highlight some of the features we shipped over the past quarter! Up first: Anyscale Replica Compaction. Anyscale’s Replica Compaction optimizes resource scheduling in Ray Serve, solving resource fragmentation and enhancing efficiency. Why it matters:  Resource fragmentation happens when scaling leads to uneven utilization across nodes. As traffic decreases, previously needed nodes become underutilized, leading to increased cost and poor efficiency. Ray Serve scales each model independently, leading to this issue. Solution: Replica Compaction automatically migrates replicas into fewer nodes, optimizing resource use and reducing costs with zero downtime. Results: On an Anyscale Service with multiple LLMs (Mistral, Mixtral, Llama3), efficiency increased by 10.7% (measured by Tokens / GPU Second).  We found instance seconds declined by 3.7% despite an 11.2% traffic increase. Learn more in our blog: https://lnkd.in/e5WjVSFH Get started today: https://bit.ly/3Y6qHrx

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Check out both the talks from #posetteconf about pgvector + Python! One from me about pgvector with everything but Django, then one from Paolo Melchiorre on Django: https://lnkd.in/g6ixPn_8 #python #postgresql #pgvector

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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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Snowflake Summit 2024 San Francisco is a wrap! Our team showed up and showed out, connected with some of our existing and past clients, and had some amazing conversations with some soon-to-be new clients. A special thank you to Snowflake for hosting another amazing event and we want to say that our team was truly wow’ed by some of the new things you are turning out to help make our customers more successful. From AI/ML functionality to new and better ways to work within Snowflake, and everything in between, this year is one for the books in terms of some amazing announcements. We also want to thank Jonathan Gross for being an awesome partner within the AE team, and our partners DataOps.live and Sigma Computing for helping facilitate some great conversations and demos as we kept them busy with introductions and ad-hoc Q&As. A special thank you goes out to our new partners VaultSpeed, Dagster Labs and data.world! We are excited to start building a community of enablement between our customers and continuing to make advances in how we ensure we are always provide the best in breed solutions to our clients. If you didn’t catch Summit, many of the sessions will be available through Snowflake for steaming and we encourage you to go see what was unveiled. As we head back home and start bringing sanity back to our inboxes, we look forward to hearing from you about any questions you may have or ways that we can help you with your Snowflake strategy. If you made it this far, we want to hear from you about your experience. What was your favorite part of Summit? What new feature were you most excited to see announced? Comment below! #Snowflake #SnowflakeSummit #AIML #AI #ML #Data

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Apache XTable provides users with the ability to translate metadata from one #lakehouse table format to another omni-directionally. What exactly happens after the XTable "Sync" Process is run? The sync process provides users with the following: ✅ Syncs the data files along with their column-level statistics and partition metadata information ✅ All the schema-level updates in the source table are reflected on to the target format metadata ✅ Metadata maintenance for the target table format. - If the target format is Apache Hudi, unreferenced files will be marked as ‘cleaned’ to control metadata table size - If the target format is Apache Iceberg, snapshots will be expired after a configured amount of time - If the target format is Delta Lake, the transaction log will be retained for a configured amount of time ⭐️ Want to try out XTable? - Here is a link to the getting started page: https://lnkd.in/gHMBQeqV #dataengineering #softwareengineering

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