Tag: #data
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Accelerating Change Data Capture with apply changes in Delta Live Tables (DLT): Simplifying SCD Type 1 & 2 Implementation
Introduction: Change Data Capture (CDC) is a crucial component of modern data engineering, enabling efficient tracking and processing of data changes from source systems. Traditionally, implementing CDC required complex and error-prone merge logic. With Delta Live Tables (DLT) in Databricks, CDC can now be implemented in a declarative, scalable, and reliable manner using the apply_changes…
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How Will Artificial Intelligence Affect Data Analysis in the Future
Introduction The role of data in modern decision-making has never been more critical. Organizations across all sectors are increasingly relying on data-driven insights to guide strategies, optimize operations, and foster innovation. However, the three V’s volume, variety, and velocity of data continue to grow exponentially, traditional data analysis methods are being pushed to their limits.…
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A Deep Dive into Persistent Storage in Flutter with SQLite & Shared Preferences
What are SQLite and Shared Preferences? SQLite is a lightweight, serverless database used for local data storage in mobile applications. It stores data in a single file on the device, making it ideal for offline-first app development. SQLite allows apps to read, write, and manage structured data efficiently without an internet connection. It is widely…
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Understanding Isolates in Dart and Flutter: A Guide to Efficient Concurrency
Introduction Dart is single-threaded by default, meaning heavy tasks can freeze your Flutter app’s UI. To prevent this, Dart offers Isolates—a way to run tasks in parallel without shared memory. This guide explains what isolates are, when to use them, and how to implement them effectively in Flutter. What are Isolates? Isolates are Dart’s solution…
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Accelerating Incremental Data Ingestion with Databricks Auto Loader and Delta Live Tables
Introduction: In today’s data-driven world, enterprises handle massive amounts of continuously arriving data from various sources. Traditional batch ETL jobs, while effective, often lead to inefficiencies, delays, and operational overhead. Databricks Auto Loader and Delta Live Tables (DLT) provide a powerful solution for incremental data ingestion and pipeline automation. Auto Loader simplifies real-time and batch…
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Governance on AI Agents: Ensuring Control, Transparency, and Safety
What happens when an AI agent makes a decision that negatively impacts your business? According to a recent MIT study, 68% of organisations deploying autonomous AI agents report experiencing at least one significant incident related to misaligned agent behaviour in their first year of deployment. As AI agents become more capable and widespread, the need…
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Power BI Semantic Model Version History – A Game Changer for Data Management
Managing changes in a Power BI semantic model has always been a challenge, especially when working in a self-service environment. Mistakes happen, and without a proper versioning system, rolling back to a previous state was difficult. But with Semantic Model Version History (Preview), Power BI introduces a much-needed solution to track, restore, and manage model versions effortlessly. What is Semantic Model…
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The Rise of Agentic AI: Transforming Modern Business Operations
Are your employees spending 40% of their workday on routine tasks that don’t leverage their expertise? According to recent McKinsey research, the average knowledge worker wastes nearly half their productive hours on administrative busywork, data processing, and coordination activities. Meanwhile, business complexity continues to increase, with organizations managing 10x more applications than they did just a…
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Meta’s Release of Llama 4 AI Models: Revolutionizing Open-Source AI
In a world where AI capabilities are advancing at breakneck speed, organizations face a critical challenge: how to access powerful AI models without the astronomical computing costs and environmental impact associated with training them from scratch? Meta’s release of Llama 4 models on April 5, 2025 represents a significant milestone in democratizing access to cutting-edge AI…
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Mastering Power BI: 15 Essential Rules for Designing an Effective Dashboard
Creating a well-structured Power BI dashboard isn’t just about adding visuals—it’s about ensuring clarity, efficiency, and usability. A poorly designed dashboard can overwhelm users, while a well-optimized one can deliver actionable insights at a glance. Here are 15 essential rules to design the perfect Power BI dashboard, along with practical examples to help you apply them effectively.…