For years, organizations have operated under the assumption that “good enough” data is… good enough. A few gaps here, a few duplicates there as long as dashboards work and reports run, why sweat the small stuff? That mindset might have worked in the past. But today, “good enough” data is no longer enough and holding onto that thinking could be quietly costing your business millions.
Whether you're a data engineer, analyst, or developer stepping into the world of cloud-based data integration, Azure Data Factory (ADF) is a powerful tool worth mastering. It allows you to build robust, scalable data pipelines to move and transform data from various sources, all without managing infrastructure.
If you’ve used Power BI for any amount of time, you know that DAX (Data Analysis Expressions) is both powerful and, at times, puzzling. While it unlocks deep analytical capabilities, it can also slow down your reports if not used wisely.
In a world full of dashboards, reports, and visualizations, simply showing data is not enough. If you want your audience to understand, remember, and act on the insights, you need to go beyond the graph. You need to tell a story. Welcome to the world of storytelling with data, where raw numbers are transformed into compelling, clear, and meaningful narratives that spark decisions.
In today’s data-driven world, dashboards are everywhere; in executive meetings, marketing reviews, sales stand-ups, and operations war rooms. Yet despite their prevalence, most dashboards fail to deliver real value. They’re cluttered, confusing, or just ignored. A high-impact dashboard isn’t just a collection of charts. It’s a powerful decision-making tool. When designed well, it answers questions before they’re asked and guides teams to take confident, timely action.
Over the past ten years in data, I’ve been fortunate to collaborate with, learn from, and help grow some incredibly talented engineering teams. One thing has become clear along the way: Tools come and go, but the core skills that make a great data engineer remain timeless. In today’s cloud-first, real-time, business-aligned world, here are the five skills I believe every aspiring data engineer must master.
Data governance is a growth enabler, not just a compliance formality. When data is governed effectively, organizations move faster, collaborate better, and scale with confidence.
This year marks a major milestone for me: 10 years in the data and analytics industry. Over the past decade, I’ve had the privilege to work across various domains, lead talented teams, implement large-scale cloud architectures, and help organizations transform raw data into strategic advantage.
Maybe this game is different, with different rules,Maybe I am still naive, without many clues.Maybe the days of being nice are over,Maybe a blame game is all this life has to offer. There was a time when it was fun to work on something new,Now, new feels like a battle, with allies very few.I am... Continue Reading →
In the realm of modern technology, the terms Artificial Intelligence (AI) and Machine Learning (ML) often swirl together in conversations, creating an aura of confusion. Yet, amidst the haze, clarity emerges when we grasp the fundamental disparities between the two. AI, the embodiment of simulated human intelligence in machines, stands as the overarching concept, while Machine Learning, a subset of AI, empowers computers to learn from data and improve their performance iteratively. Understanding this dichotomy unveils the distinct roles each plays in revolutionizing industries and shaping our future.
In lands afar, where dreams take flight,NRIs walk a path both dark and bright.They miss the tapri chai, its comforting brew,But keep sipping coffee, a taste which grew.Mother's food, a taste of childhood and joy,In distant lands, they rarely get to enjoy.Yet in Indian restaurants, a glimpse of home,Where familiar flavours, softly roam.Earning well, a... Continue Reading →
This blog post will help you build an automated and effortless way to keep your Azure Analysis Services model up-to-date using Azure Data Factory, ensuring accurate insights with seamless refreshment.
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