Ruth Ekwere’s Post

Our latest meetup recap discusses the concept and application of Dynamic Zone Visibility (DZV) in Tableau and highlights its ability to transform data visualization and interaction within dashboards. This detailed session covers how DZV enables dynamic content display like sheet swapping, showing and hiding legends and filters, and drill-down data exploration, thereby facilitating a more engaging and insightful data exploration experience. For a comprehensive understanding and examples of implementing DZV in Tableau, you can read the full article here.

📊 Excited to share the first article in my new mini-series: "Kimball Dimensional Modeling: A Business Perspective" 🏗️ Are you a data manager or data modeler looking to sharpen your skills? 🧠💼 This crash course breaks down Kimball's approach in three easy-to-digest articles, released weekly. Article #1 is now available! https://lnkd.in/gE7--UDX #DataModeling #BusinessIntelligence #DataManagement #DataEngineering Stay tuned for parts 2 and 3 in the coming weeks! 📅

Data models and analytics go hand in hand, but how do you balance technical and business considerations? 🤔 We packaged our recent chat with Benjamin Rogojan of Seattle Data Guy into a guide on data modeling that takes you from data modeling foundations to best practices for effective data modeling. 📖 Read more: https://lnkd.in/d_zEw2wV #DataModeling #DataAnalytics

📊 Dive into the basics of data visualization and unlock the power of visualizing data effectively! Check out our latest blog post to learn more: https://lnkd.in/dqrTG6vd #DataVisualization #DataAnalysis #Insights

🤔 Do you know the difference between dataset lineage and field lineage? Understanding these concepts is vital for tracking your data’s journey through complex systems and making informed decisions. Here’s a quick dive into the two crucial types of data lineage: 1️⃣ Dataset Lineage: Tracks relationships between datasets Types: - Table-to-Table: Shows how tables relate - Table-to-Dashboard: Maps data movement into dashboards - Dashboard-to-Dashboard: Illustrates flow between dashboard elements 2️⃣ Field Lineage: Offers granular insights into data transformations Types: - Column-to-Column: How columns interact within tables - Column-to-Field: Connects data to visualization tools - Field-to-Field: Traces data between visual components 🔑 Key Takeaway: While dataset lineage provides a high-level view of data flow, field lineage offers detailed insights into transformations at the column level. 💡 Our Tip: Choose the right lineage type based on your use case. Mastering these types helps maintain data integrity and supports informed decision-making! 👉 Full article here: https://lnkd.in/eJGmbpe6 #Data #DataLineage #DataManagement #BusinessIntelligence #DataGovernance

Data pipelines are the backbone of data-driven decision-making, transforming raw data into actionable insights. Discover why implementing a robust data pipeline is crucial for modern enterprises aiming to enhance their market positioning and operational efficiency. Whether you're optimizing existing processes or just starting on your data journey, understanding this essential tool can be a game-changer. Read the full article!

Understanding the intricacies of a data pipeline is crucial for any data-driven enterprise. Our blog delves into how a data pipeline transforms raw data from various sources into valuable information ready for analysis. Learn how data science professionals design scalable and automated pipelines to meet business requirements efficiently. 📈 Discover more on our blog! 📊 https://lnkd.in/dkZNJNVS #DataPipeline #DataScience #DataDriven #BusinessIntelligence #BigData

This is a good overview of today’s popular data modeling design patterns in the Big Data age, especially for those of us who grew up in our IT careers during the Inmon/Kimball era of data warehousing.

What is a data product? As it turns out, many things can be a data product. Data products can vary greatly in refinement, interface, abstraction and use case. They aren't just dashboards. https://lnkd.in/gv_VCaab

Data modeling plays a crucial role in understanding and organizing data. Explore the different types of data modeling with this insightful infographic. https://lnkd.in/eJmUPDA9