The data engineering landscape is evolving! 🚀 The shift from a “modern” to a “postmodern” data stack is reducing complexity and paving the way for productivity, AI integration, and enhanced governance. Explore insights from Matillion’s CEO Matthew Scullion and data expert Joe Rees on how this unified approach transforms data strategies.
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Availability of high quality data remains one of the key bottlenecks for value creation for many organizations. New paradigms for scalable data management, such as data mesh, promise to break the barriers. In theory these approaches make sense, but implementing them in practice is far from trivial. There is a real risk of Déjà Vu from past revolutions in data architectures. The article below is the start of a series in which my colleagues at Rewire lay out a recipe for success, in which value creation and fundamental data transformation go hand-in-hand. #data #ai #rewire
Scalable data management: from theory to practice - Rewire - Data & AI Transformation
https://rewirenow.com/en/
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Excited to share my latest article, “Technical and Strategic Best Practices for Building Robust Data Platforms”. 🥳 In this article, I share strategies, architectural principles, lifecycle considerations, and non-functional attributes that underpin a data platform and help organizations design modern data platforms to drive value through data and AI. I share an approach to design modern platforms that balance compliance, efficiency, scalability, security, observability, and innovation. The article also covers the full data lifecycle, from ingestion to archival, and approaches for supporting both real-time and batch analytics. If you’re working on data infrastructure modernization or governance projects, I hope you’ll find my article insightful and useful. I would love to hear you thoughts and feedback. Link to the article: https://lnkd.in/guVnEn2E
Technical and Strategic Best Practices for Building Robust Data Platforms - DATAVERSITY
https://www.dataversity.net
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Thrilling news 🗞️ showcasing our commitment to driving continuous innovation for customers in areas like unified data and AI governance , seamless and flexible data engineering, and AI-driven data integration solutions. 💡
A Leader in Gartner Magic Quadrant for Data Integration Tools
google.smh.re
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🚀 Unlock Data Success with Cutting-Edge Trends & Tools! 🚀 Is your data infrastructure ready for 2025? From cloud-native architectures to AI-driven analytics, data engineering is rapidly evolving, and the right tools can make all the difference. 🌐💡 In our latest blog, we dive into the top data engineering trends and tools you should adopt to stay competitive and unlock new insights from your data. 📈 Explore the full list of trends and tools and get your business on the path to data success! 🔗 https://bit.ly/3TswtjX #DataEngineering #DataTrends #BigData #AI #CloudTech #DigitalTransformation #DataManagement #DataStrategy #TechInsights #DataSuccess #BusinessGrowth #TechInnovation
Top Data Engineering trends and tools to embrace to attain data success
https://www.techmango.net
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What's the future of AI-Driven Data Ecosystems: Lakehouse vs. Edge Data Architectures AI-driven data ecosystems are redefining how we manage and utilize data. Two key architectures—Lakehouse and Edge Data—are at the forefront of this transformation, each offering unique benefits and challenges. In the future, we may see these architectures coexisting, complementing each other to create a robust, adaptive, and intelligent data ecosystem that powers the next wave of AI innovations. https://lnkd.in/gXGSJesH
Enterprise Data Architecture Overview - Data Ideology
https://www.dataideology.com
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Introducing the Databricks Data Intelligence Platform, a new AI-based data platform built on a lakehouse architecture. It’s not just an incremental improvement over current data platforms, but a fundamental shift in product strategy and roadmap. What does this mean for you? Democratize insights with natural language and build AI with your own data – all with the best governance. Read why our co-founders think this is the future of all data platforms!
Data Intelligence Platforms
databricks.com
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Acquisition Alert 🔔 Organizations are swimming in all types of data, but generally have inherent challenges around integration. Enter Snowflake's recent acquisition of Datavolo, our new multimodal data integration platform. It enables businesses to unify and analyze all their data types in one place, further accelerating solutions for multimodal data integration needs for AI, analytics and apps. This acquisition marks a significant step in expanding Snowflake’s capabilities for data engineers, focusing on data integration in the bronze layer. https://lnkd.in/gtcREBZv
Snowflake to acquire Datavolo to boost multimodal data integration capabilities
snowflake.com
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Unlock the Future of Data Management 🚀 Read this blog where Mike Ferguson, CEO of Intelligent Business Strategies, dives into transformative techniques to shorten time to value using AI-driven data management and open tables. Discover how to democratize data engineering, create high-quality data products, and implement a modern data architecture. Don't miss out on transforming your data strategy! 🌟
Shortening Time to Value Using AI-Driven Data Management and Open Tables
informatica.com
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Unlock the Future of Data Management 🚀 Read this blog where Mike Ferguson, CEO of Intelligent Business Strategies, dives into transformative techniques to shorten time to value using AI-driven data management and open tables. Discover how to democratize data engineering, create high-quality data products, and implement a modern data architecture. Don't miss out on transforming your data strategy! 🌟
Shortening Time to Value Using AI-Driven Data Management and Open Tables
informatica.com
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