Carlos Daniel Sanchez R.

New blog post: Temporal Analysis with Stream Windowing Functions in DuckDB This week, Petrica Leuca and Gábor Szárnyas present a series of SQL queries for computing time windows with different semantics on the well-known railway data set. https://lnkd.in/duEu8yVm

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ICYMI 💫 - here’s a fantastic step-by-step tutorial by Akshay Pachaar on how to build an agentic reasoning system for search and retrieval (specifically, corrective RAG) from scratch. Uses LlamaIndex workflows to let you orchestrate complex, customizable event-driven agent workflows. Combine this with Linkup, Comet, and Qdrant for the full e2e system. Workflow: https://lnkd.in/gvB764h2 Post: https://lnkd.in/gdpTHs7u

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"We've invested heavily in AI to make sure that our technology is perfectly suited to these new evolving AI apps. And it's still happening. We're still in that process of invention and solidifying what tools we can provide to make it easy for developers to build agents." In an interview with Nasdaq, our CEO Rowan Trollope explains how Redis is evolving from being a foundational infrastructure of the cloud / mobile era into a key piece of the memory layer in the new AI / agentic stack. Watch the full interview here: https://lnkd.in/giMzK85d

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How do you adopt, deploy, and optimize PostgreSQL in a cloud-native world? Join Angel Camacho, Vibhor Kumar, and Gabriele Bartolini on February 18 at 12 PM ET for a technically-rich webinar exploring the challenges and opportunities of cloud-native PostgreSQL. What you’ll learn: ✅ Deployment strategies for scaling PostgreSQL in cloud-native environments. ✅ How Kubernetes and PostgreSQL extensions unlock powerful stateful workloads. ✅ Real-world insights on migrations, automation, and performance optimization. Whether you’re navigating migrations, managing workloads, or optimizing for the future, this webinar will arm you with actionable insights to modernize your PostgreSQL deployments. Register here ➡️ https://bit.ly/40CgkeP #EDBPostgresAI #JustSolveItWithPostgres #PostgreSQL #CloudNative #HybridCloud #Kubernetes #K8s #DatabaseMigration

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Community Spotlight! Jairus Martinez wrote this fantastic guide on using Docker, Inc containers to create consistent, isolated dev environments for Dagster. Key benefits: 🐳 Easy setup and sharing across teams ⛓️ Reproducible environments with version control ⏩ Fast dependency management with uv Full post in the comments! #DataEngineering #Docker #Python #Dagster

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Hyland's Jitesh S. Ghai shares more about Enterprise Context Engine and Enterprise Agent Mesh. Hyland takes the hundreds of millions of artifacts across your fragmented application landscape and connects it with the industry's first Enterprise Context Engine and Enterprise Agent Mesh. Learn more here: https://bit.ly/3VoZTjD

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🚨 NEWS 🚨 The Apache Software Foundation Announces New Top-Level Projects Apache DevLake™ and Apache Grails® join The ASF’s growing roster of Top-Level Projects underscoring strength of Foundation’s open source communities https://buff.ly/RMg0Bkd #opensource #data #Java

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From real-time processing with Apache Kafka to batch loading with Fivetran, swipe 👉 for a selection of the top tools transforming how data flows. Ready to optimize your data pipelines? Check out our Introduction to Data Engineering course and get the first chapter for free. Start now 🔗 https://ow.ly/2JmQ50V7Am8 #DataCamp #DataEngineering #DataTools #ETL

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You need tools that simplify, not complicate, your infrastructure setup. The #OpenSource Cluster Toolkit offers pre-built blueprints and modules for rapid, repeatable cluster deployments. You get easy integration with JAX, PyTorch, and Keras; platform teams get simplified management with Slurm, GKE, and Google Batch, plus flexible consumption models like Dynamic Workload Scheduler and a wide range of hardware options. Learn more about simplifying your cluster setup and deploying quickly using our Cluster Toolkit → https://goo.gle/4jlhEur

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Datadog Database Monitoring provides index recommendations to help you proactively optimize query performance. Learn how we formulate our recommendations and present them with rich context by drawing on a wide range of data sources: https://lnkd.in/ei5AvKdC

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🧠 Building AI agents shouldn’t require custom glue code and vendor lock-in. With new# MCP support in Postman, your team can generate, inspect, and connect AI tools across any model—Claude, Cursor, and more. 🔗 Standardize connections. Accelerate workflows. #PostmanDrop https://lnkd.in/gmRErTRY

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📣 We are excited to announce the release of Delta Lake 3.3 on Apache Spark 3.5.3, with features that improve the performance and interoperability of Delta Lake! 🦀 What’s new in Delta Lake 3.3? 🌟 Support for Identity Column to assign unique values for each record inserted into a table. 🌟 Support for Row Tracking Backfill to alter an existing table to enable Row Tracking. Row Tracking allows engines such as Spark to track row-level lineage in Delta Lake tables. 🌟 Support for enhanced table state validation with version checksums and improved Snapshot initialization performance based on this checksum. 🌟 Support for enabling UniForm Iceberg on existing tables without rewriting the data files using ALTER TABLE. 🌟 Support VACUUM LITE to deliver faster VACUUM for periodically run VACUUM commands. 🔗 View the release notes: https://lnkd.in/exxF4u8m #opensource #oss #linuxfoundation #lfaidata #deltalake

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The Unity Catalog REST API makes #metadata management for your data #lakehouse simple, scalable, and reproducible. Automate metadata tasks and integrate with your workflows to unlock streamlined data management. Dive into our latest blog to learn how to take advantage of custom functionality and build production-grade integrations! 👇 🔗 https://lnkd.in/ewjiY6cs #unitycatalog #opensource #oss #restapi

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🚀 Master the Art of Workflow Automation with Apache Airflow! 🌟 Are you ready to simplify complex workflows and supercharge your data pipelines? At Radiansys Inc. we dive deep into how Apache Airflow can transform the way you programmatically author, schedule, and monitor workflows with ease. Explore practical tips, best practices, and real-world integrations to take your automation game to the next level. Whether you're working with ETL processes, big data pipelines, or machine learning workflows, this blog is a must-read! 👉 Read more: https://lnkd.in/gH45utxp Let’s make data automation simpler and smarter together! #ApacheAirflow #DataAutomation #ETL #BigData #WorkflowOrchestration #DataEngineering

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📊 Neo4j + Unstructured Transform your unstructured documents into rich graph relationships with the new Neo4j connector in Unstructured Ingest V2! Check out the connector docs to learn how to batch process records, set up connections, and leverage powerful graph queries to explore document relationships and content structure. 👉 https://lnkd.in/eb_sPNb5

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