Tecton’s Post

3 emerging trends in the 2024 State of Data Engineering report, presented by Einat Orr Let's zoom into the first trend: #GenAI influence on software #infrastructure - the rise of Generative AI is not slowing down, heavily influencing the entire #dataengineering scope, from storage, computation engines, to #mlops and #observabilitytools Get the full report here 👇 https://lnkd.in/d9hKVHBP

Check out the latest 2024 State of Data Engineering report from lakeFS! There's a ton of great content in here about the latest trends in the data space –including data observability. 🚀 Some can't-miss highlights: ✅ "More and more, data observability solutions are being used not just to monitor the data sources (both internal and external) but also the infrastructure, pipelines, and post-ingestion systems." ✅ "Enterprises are also viewing data observability as a foundational priority for their generative AI initiatives. Gartner has identified data observability as a must-have for AI-ready data." ✅ "Similar to 2023, @/Monte Carlo are paving the way forward in this category, with G2 recognizing them as the #1 Data Observability Platform and data-driven organizations like Cisco, American Airlines, and NASDAQ leveraging Monte Carlo to drive more reliable AI systems." Check out the full article here: https://lnkd.in/dtdbtV7q

🚀 Exciting Workshop Alert! 🚀 Join to deep dive into the world of Data Engineering in the Age of AI! 🌐💻 The workshop is structured to provide a solid understanding of the following fundamental data engineering and streaming concepts: 1. Introduction to the Data Intelligence Platform 2. Getting started with Delta Live Tables (DLT) for data pipelines  3. Creating data pipelines using DLT with streaming Tables, and Materialized Views  4. Change Data Capture with SCD1 and 2  5. Mastering Databricks Workflows with advanced control flow and triggers 6. Generative AI for Data Engineers  7. Understand data governance and lineage with Unity Catalog  8. Benefits of Serverless Compute Follow SparkDataSurf for More !!! Link: https://lnkd.in/esMM8SQZ #SparkDataSurf #Databricks #DatabricksWorkshop #DataEngineering #AI #DLT #DataPipelines #Databricks #GenerativeAI #DataGovernance #ServerlessCompute #Workshop #DataIntelligence #LinkedInPost

Check out the latest 2024 State of Data Engineering report from lakeFS! There's a ton of great content in here about the latest trends in the data space –including data observability. 🚀 Some can't-miss highlights: ✅ "More and more, data observability solutions are being used not just to monitor the data sources (both internal and external) but also the infrastructure, pipelines, and post-ingestion systems." ✅ "Enterprises are also viewing data observability as a foundational priority for their generative AI initiatives. Gartner has identified data observability as a must-have for AI-ready data." ✅ "Similar to 2023, Monte Carlo are paving the way forward in this category, with G2 recognizing them as the #1 Data Observability Platform and data-driven organizations like Cisco, American Airlines, and NASDAQ leveraging Monte Carlo to drive more reliable AI systems." Check out the full article here: https://lnkd.in/dZEFqSTQ

Dive into our latest exploration of the LL-Mesh, a pioneering concept inspired by 'Data Mesh Principles and Logical Architecture.' In our newest blog post, we unveil how the LL-Mesh framework is tailored to meet the unique demands of LLM technologies, integrating data, context, and reasoning for a scalable, swift architectural response to technological advances. #GenerativeAI #Telecommunications #Innovation #DataMesh https://lnkd.in/dNFKdK6y

Discover how PostgreSQL is revolutionizing AI-driven data management in our recent whitepaper. Get key takeaways about: ✅ Data Lakehouses: Seamlessly integrate data lakes and warehouses for enhanced efficiency. ✅ Generative AI: Leverage advanced transformer architecture for innovative AI solutions. ✅ Vector Databases: Boost AI performance with the power of vector databases. ✅ Customizing AI: Tailor AI models with cutting-edge techniques for optimal performance. Download now to dive into these insights and more ➡️ https://bit.ly/3ySaknT

Discover how PostgreSQL is revolutionizing AI-driven data management in our recent whitepaper. Get key takeaways about: ✅ Data Lakehouses: Seamlessly integrate data lakes and warehouses for enhanced efficiency. ✅ Generative AI: Leverage advanced transformer architecture for innovative AI solutions. ✅ Vector Databases: Boost AI performance with the power of vector databases. ✅ Customizing AI: Tailor AI models with cutting-edge techniques for optimal performance. Download now to dive into these insights and more ➡️ https://bit.ly/3ySaknT

The importance of metadata, metadata management and data unity cannot be overstated. A great post describing how Via Foundry eliminates your metadata challenges can be found here - check it out. https://lnkd.in/eXD8fKfs

🌟 Imagine data engineering as the architect of a digital universe, meticulously crafting the structures that house our data-driven world. 🏗️💻 This insightful article delves into the future landscape of data engineering platforms and architecture - sparks are flying! 🔮 🔍 Exploring the article's key themes: - Data pipelines evolving into interconnected neural networks – a symphony of data orchestration. - Embracing cloud-native solutions for scalability and flexibility in the data ecosystem. - The rise of real-time data processing, turning the tide in the analytics realm. 🧠 Let's ponder together: How can we adapt to this dynamic data universe to navigate its complexities and harness its potential? 💭 Share your thoughts and let's unravel the mysteries of the data realm! 🌐💬 https://lnkd.in/etZHKAAi

Is GenAI practical for data engineering, or just hype? Join @databricks to discover how #dataintelligence is helping data engineers build faster, more reliable pipelines. Learn how the Data Intelligence Platform is revolutionizing data engineering, & more.