iSAQB® Software Architecture Gathering’s Post

Navigating the Maze: A Guide to Data Architectures

Evolution of data platform architectures to today’s two-tier model (a-b) and the new Lakehouse model.

Data integration shouldn’t hold your team back. Many data and integration engineers face obstacles from monolithic systems and fragmented architectures that impact efficiency and scalability. Our latest white paper breaks down a streamlined approach to data integration, showing how a unified data hub can drive operational efficiency and innovation. Download the white paper here ➡️ https://lnkd.in/gatvCNdx #DataManagement #DataStrategy #DataEngineering

Data integration shouldn’t hold your team back. Many data and integration engineers face obstacles from monolithic systems and fragmented architectures that impact efficiency and scalability. Pivotly's latest white paper breaks down a streamlined approach to data integration, showing how a unified data hub can drive operational efficiency and innovation. Download the white paper here ➡️ https://lnkd.in/gatvCNdx #DataManagement #DataStrategy #DataEngineering

Do you know where your data is stored? There are different data storage architecture types that determine where and how you interact with your data. Knowing where your data is is the basis for securing it.

📢 𝐓𝐡𝐞 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬: 𝐅𝐫𝐨𝐦 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐭𝐨 𝐃𝐚𝐭𝐚 𝐌𝐞𝐬𝐡 In a previous post, I discussed the importance of organizing data in a 𝐝𝐚𝐭𝐚 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞, highlighting the different techniques to organize your data into your data Lakehouse 📚. In this article, I break down the confusion that many data professionals face when they hear about different 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 𝐥𝐢𝐤𝐞 𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐝𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐥𝐚𝐤𝐞𝐬, 𝐦𝐨𝐝𝐞𝐫𝐧 𝐝𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐟𝐚𝐛𝐫𝐢𝐜𝐬, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐦𝐞𝐬𝐡. 🤔💡 I provide clear explanations of each architecture, making it easier to understand their purposes and how they have evolved over time. 🏗️💻 If you've ever felt overwhelmed by the options available or unsure which architecture suits your needs, 𝐭𝐡𝐢𝐬 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐢𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮! 📖✨ #DataArchitecture #DataWareHouse #ModernDataWareHouse #DataLake #DataLakeHouse #DataFabric #DataMesh

Knowing your data and computing environment is foundational to a good information program. Know the differences so you can plan accordingly for your business.

Are you considering implementing data fabric within your organization? We have partnered with Database Trends & Applications (DBTA) to help bring you more information about this robust data architecture. Our experts discuss the latest in data fabric solutions, integration challenges, and the tools you need to succeed. Watch the on-demand webinar and equip your business with high-quality, reliable data access: https://hubs.ly/Q02CJnjq0 #DataQuality #DataAccess #DataFabric

First ask, how does your organization manage architecture and access for both structured and unstructured data? https://bit.ly/4cRlWHl

The terms datalakehouse and data warehouse refer to two distinct data storage architectures, each suited to different use cases in modern data management