"Boost Your Data Strategy with Data Vault 2.0 Best Practices"

Oracle Introduces Autonomous AI Lakehouse - The Next Generation of Cloud & Data Convergence “Customers consistently tell us they want to use the tools they already have on top of their data,” said Stephen Orban, senior vice president, Product Ecosystem & Partnerships, Databricks. “Databricks is committed to open and interoperable data access for analytics and AI, and Unity Catalog helps make that possible by providing a unified governance layer for formats like Apache Iceberg. We welcome Oracle Autonomous AI Lakehouse’s integration with Unity Catalog, giving joint customers seamless access to their data and the flexibility to use Oracle and Databricks together.” Read More: https://lnkd.in/dKCHrhZE #AIDatabase #AITech365 #analyticssolutions #ApacheIceberg #AutonomousAILakehouse #Cloud #DataStack #news #oracle

🔹 Week 2: Laying Our Data Foundation 🔹 Last week, we explored how to move from data chaos to clarity — identifying the systems that power our supply chain ecosystem. This week, we roll up our sleeves and lay the foundation: 🏗️ Deciding where our data should live (cloud or on-prem) 🧱 Ensuring latency fits our use cases 📐 Defining key data elements & dimension tables 🔒 Establishing data ownership and access control Whether you’re building your first data warehouse or refining a mature platform, this stage determines how scalable your analytics — and future AI enablement — will be. 👇 Watch the full video below to see how to measure twice and cut once when designing your data foundation. #SupplyChainData #DataStrategy #CloudDataWarehouse #DataGovernance #SupplyChainAnalytics #DataArchitecture #OperationsExcellence

Wouldn't it be nice to have data products on-demand? Here's the crazy thing: You don't *need* a Data Warehouse or Lakehouse to do it! One company came up with a clever approach, capturing data from all manner of enterprise systems, and placing it into an intermediary format. This enables "last-mile" transformation that create... (wait for it...) #DataProducts! Check out Michael Kowalchik of Matterbeam as he explains a way to "end pipeline tyranny!" Because let's be honest: Those data pipelines can do amazing things, but only when every step in the workflow is operational. And the other consideration? A few data pipelines are easy to manage; but dozens? scores? Sooner or later, the comlexity becomes a bear! You need Data Products! Watch the full demo here: http://bit.ly/47rxnVj David Glickman * Mark Madsen * Yves Mulkers * Alex Jackson #Analytics #BigData #Cloud #DigitalTransformation #Agility #Value

Regardless of industry, your enterprise is also in the data processing business. That's why forward-thinking data leaders continue to discover new ways to unlock scalable, cost-effective, AI-ready performance. Our latest blog explores how Snowflake and hybrid cloud solutions are reshaping data processing for this new era, and how you can determine which approach is the best fit for your organization. Read the full piece here: https://lnkd.in/g6REz_Xf #Snowflake #DataModernization #HybridCloud #AIReady #DataProcessing #Hakkoda

By 2030, we’ll generate 200 zettabytes of data, and half of it will live in the cloud. Most data warehouses aren’t ready — and the struggle is real: -Reports take hours when executives need answers in minutes -Cloud bills spike because resources aren’t optimized -Legacy pipelines break under growing data volumes, slowing innovation -Teams spend more time troubleshooting than building insights Our free eBook shows you how to turn these roadblocks into a scalable, high-performing data warehouse: -Migrate legacy systems without downtime -Pick the right architecture for your workloads -Control costs while scaling performance Download your free copy: https://lnkd.in/gKyjY2Rh #BuzzClan #DataWarehouse #CloudArchitecture #DataEngineering #BigData #DataStrategy #Analytics #DataManagement #DigitalTransformation #BuzzClanServices

How much value is locked away in your organization’s data silos? At Roshdy Tech, we help businesses break down barriers through seamless **Data Integration**. One client came to us struggling with fragmented data spread across outdated systems and modern cloud platforms. They needed a unified view to make better decisions faster. By implementing a scalable integration strategy, we combined their data into a single source of truth, unlocking insights that drove efficiency and growth. If multiple data sources are holding your business back, it’s time to connect the dots. #DataIntegration #BusinessIntelligence #TechInnovation

Enterprises don’t just need data, they need the right lens to see it clearly. 👀 From Business Intelligence & Analytics to Cloud Engineering and Managed Services, the right delivery mix can transform raw information into powerful, actionable insights. Think of dashboards as living products: version them, A/B test layouts, refine thresholds, and roll out updates with CI/CD precision. Check out our blog to know how enterprises can build robust, future-ready data lenses: https://lnkd.in/gZqzCGY8 #DataDriven #BusinessIntelligence #Analytics #CloudEngineering #ManagedServices #DigitalTransformation

Data Lakes Are Easy. Value Lakes Are Hard. Every organization today is building a data lake and that’s a good start. But very few are truly swimming in value. The challenge isn’t about storing data anymore. It’s about structuring, governing, and activating it. Too often, we see cloud analytics projects focus on infrastructure rather than insight. Data sits in the lake, waiting for direction while the business keeps asking the same questions it asked years ago. The real shift happens when organizations start treating analytics as a business capability, not an IT project. When architecture meets adoption. When governance meets goals. With modern cloud platforms the technology part is finally catching up. Now, it’s time for the mindset to follow. Because in the end, data doesn’t create value on its own, decisions do. #DataStrategy #DataLakes #CloudAnalytics #BusinessIntelligence #DataGovernance #DigitalTransformation #DataDriven #BusinessValue #ModernAnalytics #DataActivation #CloudData #DataCulture #DecisionMaking #DataManagement

Next Pathway President, Clara Angotti, highlights four essential best practices to ensure a smooth and cost-effective migration to Snowflake’s AI Data Cloud. She emphasizes the importance of thorough data and code preparation, leveraging automated translation tools, planning proof-of-concept migrations, and initiating testing early through incremental waves. By applying these strategies, organizations can reduce risk, shorten timelines, and modernize with confidence. Read Clara’s article for expert insights and actionable steps to accelerate your Snowflake migration: bit.ly/3Ka2SI1    #NextPathway #SHIFTCloud #CloudAutomation #CloudMigration #Snowflake  #Onelake #DataFactory #AzureSynapes #Informatica #ETL #AI #Aiautomation #GenerativeAI 

Why Cloud + Analytics = The Future of Business Decisions A few years ago, I worked on a project where - every report was built manually - downloading CSVs, - cleaning them in Excel, and - emailing “final” versions that went out of date the next morning. Sound familiar? That’s when I realized something powerful: Data-driven decisions can’t scale without the cloud. Enter Cloud + Analytics. When we migrated to AWS, everything changed: S3 became our single source of truth; no more scattered spreadsheets. Redshift allowed us to process millions of rows in minutes instead of hours. QuickSight brought our data to life with interactive dashboards that updated automatically. Now, instead of debating whose file had the latest numbers, teams could focus on why the trend changed and what to do next. The Real Impact: One simple dashboard tracking Customer Acquisition Cost (CAC) and Lifetime Value (LTV) turned into our daily decision compass. Leaders could instantly see which campaigns were profitable, which weren’t and make confident calls backed by real-time data. That’s when it hit me: Cloud isn’t just about storage or speed, it’s about unlocking clarity at scale. My takeaway: The future of business decisions lies where cloud infrastructure meets analytics intelligence. Together, they empower every stakeholder - from analysts to executives - to act on insights, not instincts. How about you? Have you seen cloud analytics change how your team makes decisions? #CloudComputing #AWS #Analytics #DataDriven #QuickSight #Redshift #S3 #BusinessIntelligence #BusinessAnalysis #DataAnalysis #DigitalTransformation