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The #Energy #Data Journey - An #EnterpriseArchitecture Blueprint for the Digital #Utility. https://lnkd.in/djGQZbf7 #gridmodernization #gridanalytics #gridorchestration #gridOS #DTECH #DTECH24 Greenbird Integration Technology GE Digital Grid Software #Utility40 #bigdata #datafabric

Customer Case Study: VTTI in Netherlands ❤️ with Axians VTTI Leverages the Denodo Platform to Empower Analytics and Data Science for the World of New Energy! VTTI is a global leader in independent energy storage, and the company develops critical energy infrastructure the world needs to move towards a carbon neutral future. Fueled by its purpose, “Energy to Move Tomorrow,” VTTI safely provides and expands access to energy, including fuels, chemicals, gasses, and other energy- derived products so that customers and partners can accelerate the transition to sustainable sources. knitwear, trousers, and accessories. In the evaluation phase for next-generation technologies, VTTI did a competitive analysis of data management tools. The company evaluated three platforms to send jetty information, such as data about vessel arrivals and departures, to the company’s Power BI dashboard. Due to the ease of use of the Denodo platform, combined with the guidance of the implementation partner, Axians, it took just 2 weeks to create and publish a data model to Power BI with the Denodo Platform, compared to two months with the competing platforms. The Denodo Platform, with its core data virtualization technology, made it much faster and easier to integrate the jetty data with other VTTI systems. https://lnkd.in/dxJ63ys2 Pascal van Bergeijk

Cost-Effective Optimization of Your Data Infrastructure Imagine embarking on a cross-country road trip with a GPS that hasn't been updated in years. You might take wrong turns, encounter unexpected obstacles, and ultimately waste valuable time and resources. Similarly, in the world of data engineering, optimizing your data infrastructure is like keeping your GPS up-to-date - critical for efficiency, cost-effectiveness, and long-term success. As a business leader in data engineering, you're not just driving your organization forward; you're navigating the ever-evolving terrain of data challenges. The question that echoes in many minds is, "Are there cost-effective ways to maintain and optimize our data infrastructure over time?" Let's explore. Let us acknowledge the landscape. Just like a GPS needs accurate maps, your data infrastructure requires a clear understanding of data sources, usage patterns, and evolving business needs. Conduct regular audits to identify outdated or redundant data, ensuring you're on the right path from the outset. Cloud technology isn't just a buzzword; it's a game-changer.  Migrating to the cloud can significantly reduce infrastructure costs, providing scalability and flexibility.  Embrace cloud-native solutions, optimize your storage usage, and explore reserved instances for further savings.  The cloud is more than a destination; it's a strategic advantage. In our fast-paced digital age, automation is the fuel that propels us forward.  From data cleansing to routine maintenance tasks, automation reduces manual efforts, minimizes errors, and frees up your team to focus on strategic initiatives.  Think of it as cruise control for your data infrastructure - maintaining speed while conserving energy. Tips for Actions: Regular Health Checks: Schedule regular audits to identify and eliminate inefficiencies in your data infrastructure. Cloud Optimization: Assess your cloud usage regularly, exploring options like reserved instances and efficient storage solutions. Automation Integration: Identify routine tasks that can be automated, allowing your team to work on high-impact projects. What optimization strategies have you found most effective in your data engineering endeavors? Let's initiate a discussion in the comments and share our collective insights. If you are interested in further discussing with me https://lnkd.in/gDMfF72R  #DataOptimization #passionpreneur #dataengineering #preethisusanisaac 

#PerformanceTuning starts at the very beginning of the software development lifecycle. It's not just a final step but a continuous process that spans the entire lifecycle... from defining performance goals in requirements gathering, making smart architectural choices, and writing optimized code to continuous monitoring and maintenance—every step counts. During week 2 of Zach Wilson's boot camp, one thing that resonated profoundly with me was the significant carbon footprint we leave behind when we do not adopt the best strategies to build optimal data pipelines. As a data engineer, I believe optimizing data pipelines isn't just about efficiency and speed—it's about our responsibility to the environment. Here are some ways data engineers can reduce the carbon footprint: 🔹 Optimize Data Pipelines: Streamline data flows to reduce unnecessary data processing. Efficient pipelines consume less energy. 🔹 Efficient Storage Solutions: Use data compression and archiving strategies to minimize storage requirements. Less storage means less energy consumption. 🔹 Scalable Architecture: Design systems that can scale efficiently based on demand. This helps avoid over-provisioning of resources. 🔹 Leverage Cloud Services: Many cloud providers offer energy-efficient data centers and sustainability programs. Choose providers committed to green energy. 🔹 Batch Processing: Schedule data processing tasks during off-peak hours to balance load and reduce energy spikes. 🔹 Monitor and Optimize: Continuously monitor resource usage and optimize configurations. Identify and eliminate bottlenecks that lead to excessive energy use. Every bit of optimization helps reduce energy consumption and, in turn, our carbon footprint. Let's leverage our skills to create more sustainable tech solutions. Zach Wilson Stephanie Nuesi Carly Taylor, M.Sc. #DataEngineering #PerformanceTuning #Sustainability #TechForGood #GreenTech https://lnkd.in/guMP3WCf

Though overprovisioning may appear as a safety net for seamless data center operations, the unseen cost lies in the realm of dirty data. The financial and environmental impact can be substantial. Uncover the nuanced financial and operational consequences associated with overprovisioning and explore a transformative solution. Discover how MCIM's innovative clean data solution paves the way for better power management, tangible cost savings, and proactive green IT initiatives. In a landscape where data center efficiency is paramount, make informed decisions with MCIM. #DataCenter #CleanData #DataCenterEfficiency #Operations https://hubs.li/Q02dvyL-0

In a landscape where data center efficiency is paramount, make informed decisions with MCIM. #DataCenter #CleanData #DataCenterEfficiency #Operations https://hubs.li/Q02dvyL-0

VTTI Leverages the Denodo Platform to Empower Analytics and Data Science for the World of New Energy. In the evaluation phase for next-generation technologies, VTTI did a competitive analysis of data management tools. The company evaluated three platforms to send jetty information, such as data about vessel arrivals and departures, to the company’s Power BI dashboard. Due to the ease of use of the Denodo platform, combined with the guidance of the implementation partner, Axians NL, it took just two weeks to create and publish a data model to Power BI with the Denodo Platform, compared to two months with the competing platforms. The Denodo Platform, with its core data virtualization technology, made it much faster and easier to integrate the jetty data with other VTTI systems. Download the case study below for the whole story.

With data centers consuming 3% of global electricity, optimizing data management is key to sustainability and cost control. Discover the future of data management with Sven Oehme, DDN's CTO and Forbes Technology Council member! In his latest Forbes article, Sven dives into the critical role of data management innovation in data center efficiency. Read it today! 👉 https://bit.ly/3t0mdoT #DataManagement #DataCenterEfficiency #Sustainability #ForbesArticle

💡AI is driving the need for data center transformation 📰Read our latest article that has been feature in Mission Critical Magazine's May 2024 issue and find out how modern data centers must evolve to handle the complexities of hybrid ecosystems. 👉Check out the free article here: https://okt.to/pf4ZbL #DataCenters #DCIM #TechInnovation #FNT #MissionCritical #FutureProof #fntsoftware

💡AI is driving the need for data center transformation 📰Read our latest article that has been feature in Mission Critical Magazine's May 2024 issue and find out how modern data centers must evolve to handle the complexities of hybrid ecosystems. 👉Check out the free article here: https://okt.to/pXlQse #DataCenters #DCIM #TechInnovation #FNT #MissionCritical #FutureProof #fntsoftware