TechBis

  Is This Sector Dying in India? A Deep Dive Beyond the Headlines image by Anurodh kumar PowerBI Course at Rs 99. There’s a strange kind of panic that ripples through social feeds whenever a prominent industry reports slowing growth, layoffs, or waning investor interest.  Recently, questions like  “Is the IT sector dying in India?”  or  “Is e-commerce over?”  are gaining traction — not just among professionals but students choosing careers, parents fretting over futures, and entrepreneurs wondering where to place their next bet. But before we declare a sector “dead,” it’s important to unpack what that really means. What Do We Mean by ‘Dying’? In everyday language, “dying” suggests something that’s fading into irrelevance — no demand, no growth, no future. But in economic reality, most mature sectors don’t suddenly vanish; they  transform . Consider industries like railways, print publishing, animation, or retail. None have died, strictly speaking. They...

Microsoft Fabric in 2025: Major Updates You Need to Know PowerBI Course at Rs 99. In 2025, Microsoft Fabric didn’t just evolve — it  expanded the definition of what an integrated analytics platform can be . From unified data experiences to AI-driven insights, Microsoft continued to push Fabric toward being the backbone of enterprise data workflows. Whether you’re an analytics engineer, data analyst, BI developer, or decision maker, these updates deserve your attention. Let’s break down the  most impactful improvements of 2025  and why they matter. 1. Fabric AI Enhancements — Analytics Meets Intelligence Microsoft introduced deeper  AI integration directly inside Fabric  — not just copy-paste from Copilot, but foundational enhancements that enable: Natural language data exploration Ask questions like: “Show me the regions with the highest sales growth this quarter” and get visualizations instantly. Auto-generated insights and anomalies Fabric now surfaces trends,...

15 SQL Commands Every Data Analyst Must Learn PowerBI Course at Rs 99. If you want to work with data professionally,  SQL is non-negotiable . Dashboards, BI tools, AI models, and reports all depend on  structured data , and SQL is the language that lets you ask the right questions from that data. As a data analyst, you don’t need  all  of SQL — but you  must  master the essentials. Below are  15 SQL commands that cover 90% of real-world analyst work . 1. SELECT — Fetching Data The foundation of SQL. Every analysis starts here. SELECT * FROM sales; Used to retrieve columns and rows from a table. 2. WHERE — Filtering Records Filters data based on conditions. SELECT * FROM sales WHERE region = 'North' ; Critical for isolating relevant data. 3. DISTINCT — Removing Duplicates Helps identify unique values. SELECT DISTINCT country FROM customers; Very common in profiling data. 4. ORDER BY — Sorting Results Sorts data in ascending or descending order...