Building a data mesh? Don't overlook the X and Y axes of data sharing and independence. The X-axis defines how widely you'll distribute data; the Y-axis determines the level of autonomy for teams. A high X and high Y scenario strongly points towards a data mesh architecture, granting domain-driven data ownership while enabling seamless data access across the organization. Image source #datamesh #dataengineering #leadership #dataarchitecture
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In a world where data is increasingly critical to decision making, implementing an innovative approach like Data Mesh can make all the difference. 🔍 This model distributes responsibility for data to autonomous teams, promoting a more agile and scalable architecture 💡 Discover how Data Mesh is transforming data strategies in enterprises, enabling greater flexibility and governance 👉 https://lnkd.in/dAJ #NTTDATASpain #DataMesh #data #NTTDATADigitalLovers
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Ensuring Data Consistency with a Smart Data Fabric Today's organisations grapple with an ever-increasing amount of #data which makes it challenging to ensure all users operate from a current, single source of truth. Harris | Oakmark has found a solution by leveraging a smart #datafabric architecture enriched with a semantic layer. In this short webinar Joe Lichtenberg shares Harris Associates' story, where technology meets strategic vision to deliver operational efficiencies. https://lnkd.in/eM9PAVgB #datamanagement
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- Wondering how data is processed? 📊 4 key types of data pipelines you need to know: 1️⃣ Batch: Handles large amounts of data in one go, perfect for non-urgent tasks. It's cost-effective but not the quickest. 2️⃣ Stream: For live data action, offering instant analysis. It's real-time but resource-intensive. 3️⃣ Microbatch: A hybrid, processing data in small, frequent batches for timely results without high costs. 4️⃣ Lambda architecture: The all-in-one, blending batch and stream to cover all bases, from up-to-the-minute to comprehensive historical data. Choose the best fit for seamless data handling! ... #productmanagement #leadership #productexcellence For insights on leading teams to product excellence, follow me! Thaís Kremer ✨
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Data mesh offers a shift in data architecture, promoting decentralization and autonomy across business factions. This framework empowers domain teams to control their data pipelines and analytics, improving agility and relevance. Unlike centralized approaches, where data teams grapple with many requests and lack contextual understanding, data mesh encourages self-sufficiency and collaboration. This model can make organizations more efficient, reduce bottlenecks, and accelerate insights. How do you see data mesh reshaping the future of data analytics in your industry? #DataMesh #DataFlow #DataInsights
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Decisions made today can influence our data architecture for decades. Building infrastructure that can efficiently process complex datasets is crucial. Failing to capture critical data now creates a 30-year knowledge gap. Leaders need to recognize the importance of creating adaptable systems that can evolve alongside technology. In this episode of Floating Points, Former Federal CIO, Suzette Kent emphasizes that investing in robust data collection methods today ensures we can make informed decisions tomorrow. Watch the full conversation using the link in the comments below.
Today's data, tomorrow's questions | Suzette Kent
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Data management has become increasingly crucial for leadership teams. Key areas such as data use cases pivotal to the business, the data assets driving these use cases, and the data and technology architecture enabling accessibility to these assets will play a significant role. #takecontrolofyourdata #energydatasolutions #oilandgasdata #integrateddatawarehouse #datapipelines #energydataconduits #mappingenabled #analyticsready
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Many data leaders are asking what are data mesh and data fabric? How does my business successfully use them? Semarchy joined DBTA in a roundtable webinar discussing data fabric and data mesh architectures and how companies can utilize them. Watch the replay to learn more: https://hubs.ly/Q02y8tMm0 #mdm #dataplatform #datamesh #datafabric #datamanagement #data #dataarchitecture
The Rise of Data Mesh and Data Fabric Architectures - Semarchy
https://www.semarchy.com
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In conversations with teams and leaders, it’s clear that many organizations are caught in a costly loop; overspending on data tools while underinvesting in the right data architecture. Here are some numbers worth considering: - 65% of data projects stall due to architecture, not tool limitations. - Companies with flexible data frameworks achieve 2.5x better ROI. - Integration costs now exceed licensing costs in 7 out of 10 projects. One counter-intuitive finding: Less rigid tooling often leads to more robust, adaptable solutions. A question for leaders: Are your data challenges really about the tools, or is it time to rethink the foundation? #DataStrategy #Analytics #DigitalTransformation #Innovation
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Is your data architecture struggling to scale as your organization grows? Data Mesh could be the answer! Unlike traditional centralized systems, Data Mesh empowers domain teams to own and manage their data, ensuring it’s treated as a product. This approach decentralizes data management, allowing teams to innovate faster, maintain data quality, and eliminate bottlenecks. For companies handling vast, complex data ecosystems, Data Mesh enhances scalability, promotes data ownership, and improves agility by distributing responsibilities across domain teams. Is it time for your organization to explore Data Mesh? #DataMesh #DataArchitecture #Scalability #DataOwnership #DataGovernance #staytuned #chctips #cloudhorizontech
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Embark on Your Data Mesh Journey! 🚀 In her keynote at PasDaS 2024, Emily Gorcenski introduced Data Mesh as a paradigm shift from traditional data architectures. It’s a collection of data products replacing centralized platforms with a decentralized approach, akin to a microservices architecture for data. This setup facilitates easier development and integration of data products. By standardizing interfaces between teams, Data Mesh fosters direct collaboration, enhances data quality, and simplifies data management. Read this article to dive deeper into Data Mesh and gain insights that can transform your data strategy and operations https://lnkd.in/dfVK-ATc. #onedata #dataproducts #datamesh #technology #innovation
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