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.
In a world where data is everywhere but rarely well-understood, data cataloguing is becoming a critical pillar of enterprise data strategy. Whether you're a data engineer, analyst, or business leader, knowing what data you have, where it lives, and how to trust it is no longer a luxury, it’s a necessity.
Turning chaos into clarity across your data ecosystem In today’s data-driven world, organizations are generating massive volumes of information, but without clear governance, that data can quickly become a liability instead of an asset. A well-crafted data governance policy is more than just documentation. It’s the foundation of trust, compliance, security, and value across your... Continue Reading →
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.
At its core, a data warehouse (DW) is a centralized repository that consolidates data from across the enterprise, spanning sales, finance, marketing, supply chain, and HR into a clean, structured, and analytics-ready format.
At its core, MDM is the practice of defining, managing, and governing the most critical data entities such as customers, products, suppliers, locations, employees so that the entire organization agrees on a single version of the truth.
Are you looking for a simple way to copy data from Zoho to Azure Data Lake? You're in the right place! With Azure Data Factory (ADF), you can automate the process of copying data from Zoho’s API to Azure Data Lake Storage Gen2, making it easier to store and analyze your data.
In this step-by-step guide, we’ll go through the exact process of creating Linked Services, defining datasets, and setting up a Copy Activity to seamlessly transfer your JSON data to Parquet format.
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.
The field of data analytics is evolving rapidly, and new trends and technologies are emerging every month, below are the latest trends as of now: Augmented Analytics: Augmented analytics combines artificial intelligence (AI) and machine learning (ML) techniques with data analytics to automate data preparation, insight generation, and data visualization. It empowers non-technical users to... Continue Reading →
Microsoft Copilot is an AI-powered code completion tool developed by Microsoft in collaboration with OpenAI that uses machine learning to provide code suggestions and completions to developers as they write code. It is designed to help developers be more productive by automating some of the more repetitive tasks of coding. It has the potential to... Continue Reading →
AI has become the Buzzword of the 21st century, anyone who even has a little idea of what AI can do is either excited, nervous, or fearful of it, and rightly so.
Ization 