Packt’s Post

 🚀 Exciting news! My book, Managing Data As A Product, is part of Packt’s End-of-Year $9.99 Sale! 🎉 ⏱️ For a limited time, you can explore all Packt eBooks and videos at an unbeatable price. 🎯 Don't miss the chance to level up your technical skills and dive deeper into data product-centered architecture 👉 Check it out here: https://bit.ly/3Bn75q8   #TheDataJoy #PacktSale #dataProducts #dataManagement #dataEngineering

Check out our handy reference architecture for data engineers, data architects and IT professionals designing and implementing #analytic solutions. It can also be useful for product managers or business decision-makers interested in understanding how insights from #data can be made directly accessible to end-users in a #realtime, user-friendly format. 👀 Or maybe you're just curious to learn what it takes to balance data freshness, latency, and high query throughput. Regardless, have a read. 📖

Check out our handy reference architecture for data engineers, data architects and IT professionals designing and implementing #analytic solutions. It can also be useful for product managers or business decision-makers interested in understanding how insights from #data can be made directly accessible to end-users in a #realtime, user-friendly format. 👀 Or maybe you're just curious to learn what it takes to balance data freshness, latency, and high query throughput. Regardless, have a read. 📖

Check out our handy reference architecture for data engineers, data architects and IT professionals designing and implementing #analytic solutions. It can also be useful for product managers or business decision-makers interested in understanding how insights from #data can be made directly accessible to end-users in a #realtime, user-friendly format. 👀 Or maybe you're just curious to learn what it takes to balance data freshness, latency, and high query throughput. Regardless, have a read. 📖

Check out our handy reference architecture for data engineers, data architects and IT professionals designing and implementing #analytic solutions. It can also be useful for product managers or business decision-makers interested in understanding how insights from #data can be made directly accessible to end-users in a #realtime, user-friendly format. 👀 Or maybe you're just curious to learn what it takes to balance data freshness, latency, and high query throughput. Regardless, have a read. 📖

In this post, WiRD break down the concept of data architecture, exploring its key components and why it plays a crucial role in today’s data-driven world. Whether you're a tech enthusiast or someone looking to better understand the backbone of effective data management, this blog will give you valuable insights. Curious about how data architecture impacts everything from decision-making to business growth? Dive in and discover why it’s a must-know topic in the tech landscape! #DataArchitecture #DataManagement #TechInsights #BlogPost #DigitalTransformation #managementconsulting 👉 https://lnkd.in/d3YNn8Nd Would love to hear your thoughts! 💬

Check out our handy reference architecture for data engineers, data architects and IT professionals designing and implementing #analytic solutions. It can also be useful for product managers or business decision-makers interested in understanding how insights from #data can be made directly accessible to end-users in a #realtime, user-friendly format. 👀 Or maybe you're just curious to learn what it takes to balance data freshness, latency, and high query throughput. Regardless, have a read. 📖

Excited to share insights on #BigData architecture! 🚀 Dive into the complexities and strategies behind building robust data infrastructure. Let's empower businesses to harness the power of their data effectively! #DataArchitecture #DataScience #TechTalks

Data Architecture Evolution: Hype vs. Reality • Database → Data Warehouse → Data Lake → Lakehouse → Data Mesh/Fabric But are we truly benefiting from this evolution? Reality Check: • Many struggle with basic data warehouse capabilities • Advanced concepts often underutilized • Skill gaps and legacy system issues persist • High costs, with benefits falling short of expectations Key Takeaways: 1. Most still rely on traditional databases and warehouses 2. Advanced architectures adopted piecemeal, not holistically 3. Success depends on strong data culture and clear use cases The Future: • Potential grows as technologies mature • Need for simplified implementations • Focus on business alignment crucial Bottom line: Master the fundamentals. Align data strategy with business needs. Don't just chase trends. Thoughts? What's your experience with evolving data architectures? #DataEngineering #BusinessIntelligence #DataStrategy

Check out our handy reference architecture for data engineers, data architects and IT professionals designing and implementing #analytic solutions. It can also be useful for product managers or business decision-makers interested in understanding how insights from #data can be made directly accessible to end-users in a #realtime, user-friendly format. 👀 Or maybe you're just curious to learn what it takes to balance data freshness, latency, and high query throughput. Regardless, have a read. 📖