Suleman

Glad my Global Cargo Movement Performance report page made it to Power BI Report of the Day by Power BI Masterclass. Thanks @PBIMasterclass and @tomas_kutac_en for the shout out! 😊👌

@HumAngle_ @A_Salkida You killed an idea with a better idea not necessarly by barrel of a gun, one thing that could change that is QUALITATIVE EDUCATION, not the free trash giving by our leaders in the name of education. when people that understands the genesis of the problem writes, you read! Weldone

Mohammed Yusuf was killed; Abubakar Shekau died by suicide to evade capture. Habib and Abba, Yusuf’s own sons, walked into explosions of their own making. Yet, the network they built stubbornly endures. How? @A_Salkida takes us through the origin of #BokoHaram and how the movement continues to sustain itself. humanglemedia.com/ideology-blood…

@secmxx Once state institutions or constituted authorities left a vaccum in justice & protection of lives, then self-help and jungle justice creep in, & many will be victims of jungle justice, all it takes is a simple stereotype. When there is no rule of law in a society, barbarism leads

Bandits raid in achida, Sokoto yesterday went really badly for the bandits, the locals mobilized themselves and went after the bandits, they brought back a bandits head.. The hunter got hunted

Politicians don't respect Nigerians and unfortunately, Nigerians don't respect themselves.

Authentic people are rare… not because they don’t exist, but because pretending pays faster.

@Joseph_opene No, you did'nt get it, the vertipaq engine uses SQL uderneath to query the data irrespective of your data source(SQL or not). It's underlying and you may not see it unless you use DAX Studio an external tool that allows you to check query performance and server timing.

@Smanmalik83 I get what you mean😊😊 They solve similar problems in terms of data logic, but they are different languages. DAX runs on the VertiPaq in-memory engine, not SQL. SQL only comes into play when you’re using DirectQuery or when Power Query folds transformations back to the source.

If you understand Power BI, you already understand SQL. If you don’t see that yet, you’re still thinking at a surface level. Power BI vs SQL: Same Logic, Different Language Most people treat Power BI and SQL like they’re two different worlds. They’re not. If you strip away the interface, the buttons, and the syntax, you’ll realize you’re solving the exact same problems, just in different ways. Here’s the truth most people miss: If you understand data logic, you can work in any tool. If you only understand tools, you’ll always feel stuck. Let’s break it down properly 👇 🔁 Append (Power BI) = UNION (SQL) This is about stacking data vertically. You use this when: • You have multiple tables with the same structure • You want to combine them into one dataset • You’re consolidating data across time, regions, or systems Example: You have: • January_Sales • February_Sales Same columns: Customer, Product, Amount 👉 In SQL: SELECT * FROM January_Sales UNION ALL SELECT * FROM February_Sales 👉 In Power BI: Use Append Queries in Power Query Real-world use case: Combining monthly sales files from Excel into one clean dataset for reporting. Mistake people make: Trying to merge these tables instead of appending them. That creates duplication and messy outputs. 🔗 Merge (Power BI) = JOIN (SQL) This is about combining data horizontally. You use this when: • You want to enrich a table with additional columns • You have a common key between tables • You’re building relationships between datasets Example: You have: • Sales (CustomerID, Amount) • Customers (CustomerID, Name, Region) 👉 In SQL: SELECT s.Amount, c.Name, c.Region FROM Sales s LEFT JOIN Customers c ON s.CustomerID = c.CustomerID 👉 In Power BI: Use Merge Queries and select the join type (Left, Inner, etc.) Real-world use case: Adding customer demographics to transaction data for deeper analysis. Mistake people make: Using append here instead of merge, which destroys the data structure. ⚠️ The Real Difference (That Actually Matters) It’s not Append vs Merge. It’s this: 👉 Row expansion vs Column enrichment • Append/Union → More rows • Merge/Join → More columns If you don’t understand this distinction, you’ll keep making wrong modeling decisions. 🧠 When to Use Which (No Guessing) Use Append / UNION when: ✔ Tables have identical structure ✔ You want a longer table ✔ You’re combining historical or segmented data Use Merge / JOIN when: ✔ Tables have related but different information ✔ You need lookup/enrichment ✔ You’re building a proper data model 🚨 Brutal Truth If you’re still deciding between Merge and Append by “trying both and seeing what works” you don’t understand your data. And that’s the real problem. Senior analysts don’t experiment blindly. They know what the output should look like before they touch the tool. 💡Power BI didn’t replace SQL. It just gave SQL a user interface. If you master the logic behind both: you become tool-independent. And that’s where real leverage comes from. 👉 So be honest: Do you find yourself using Append/UNION more, or Merge/JOIN more in your projects? #PowerBI #SQL #DataAnalytics #DataEngineering #BusinessIntelligence #DataModeling

Glad my Global Cargo Movement Performance report page made it to Power BI Report of the Day by Power BI Masterclass. Thanks @PBIMasterclass and @tomas_kutac_en for the shout out! 😊👌

🏆 Power BI Report of the Day by Suleman Abdulmalik 🔗 linkedin.com/posts/activity… 👉 For more: powerbi-masterclass.short.gy/linktree?utm_c… #powerbi #dataviz #datafam

@whitenigerian Indeed

Never regret being too kind. Your reward is with Allah, not with people.

@BjFocus26 @ezekiel_aleke Weldone slowly but surely. Omo anytime I remembered I've been learning and doing my data analytics career in silos and all alone, I give myself a kudos & pat on the back. Keeps on pushing and grinding. 👏

A quick review on my Power BI project please @ezekiel_aleke

🪄 Learn How to Build Flexible Daily, Weekly, and Monthly Analysis in Power BI Dashboards 🔗 medium.com/microsoft-powe… Get access to all our tutorials: powerbi-masterclass.short.gy/power-bi?utm_c… #PowerBI #datafam #dataviz

🪤 Hidden #PowerBI trap: Auto Date/Time creates a secret date table behind every date column. Fix: File → Options → Data Load → Uncheck "Auto date/time" Then build a proper Date dimension. 🔗 medium.com/microsoft-powe… 👉 For more Power BI tips & tricks: linktr.ee/powerbi.master…

🚀 Power BI button slicer as a KPI card on steroids

@FCBayernEN Bring it on! Bayern is aiming for treble this season, let's reach the final lads.🏆

𝐄𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 you need to know about tonight's Cup clash: 🗞️ fc.bayern/r2sa 🆚 fc.bayern/arw4t 📊 fc.bayern/wsd3 Let's go! 🔴⚪️

Looking deeper, the cracks become clearer, Growth is concentrated in a few segments, support tickets are quietly increasing, cycle time is under pressure, early signals that scale could start hurting performance if ignored. You can interact with report via app.powerbi.com/view?r=eyJrIjo…

Hi #datafam! At first glance of my Executive KPI report for @ZoomCharts everything looked great, revenue up, customers growing, operations stable but alas the data told a deeper story: Margins starting to tighten, support demand rising & customer growth is outpacing workforce.

@Oluwaraf @Aabdul_HameedD On? It should be on this rather x.com/i/status/20096…

@Smanmalik83 @Aabdul_HameedD Congratulations boss

Glad to received my certificate of achievement for the Onyx Data and ZoomCharts March-April 2026 data challenge on Maritime Logistics & Terminal Efficiency Analytics. Thanks to Leon Gordon and the team for the platform to upskill. Looking forward to what May-June will brings. 🌟

@BiokpoAmachree This is an insightful dashboard.

Final result: a Power BI dashboard built on Microsoft Fabric. Behind it: Data ingestion → Lakehouse → Dataflows → Warehouse → Semantic model What looks like a simple dashboard is actually a fully structured data pipeline. Clean data. Consistent metrics. Reliable insights.

Data analysts: Your toughest competition isn't other analysts. It's the status quo. Learn to make the cost of inaction clear. Paint a compelling picture of what's possible with your insights. Paint a clear picture of what happens without your insights.