Tag: #dataanalytics
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Sync planner data to power bi using Power Automate.
Introduction: In today’s data-driven project environments, tracking work progress visually and in real time is no longer a luxury—it’s a necessity. Microsoft Planner serves as a great tool for managing team tasks and priorities, but when it comes to analytics, it hits a wall: there’s no native connector to Power BI. That’s where Power Automate…
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Delta Sharing: Let’s Share Seamlessly
Data became valuable the moment we started generating it at scale. As organizations began storing it by region — each with its own compliance rules, protocols, and security boundaries — the challenge shifted to: how do we share and consume data across regions securely, efficiently, and with minimal friction? Enter Delta Sharing: a modern, open, and cost-effective way to…
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Battle of the Data Titans: Databricks vs Microsoft Fabric Notebooks
In this blog, we break down the key differences between Microsoft Fabric and Databricks notebooks— comparing their pricing, features, and capabilities — to help you choose the right platform for your business needs. In today’s world, data is the backbone of decision-making, innovation, and business growth. With the explosion of big data, companies need powerful…
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Data Migration 2025: What It Is & Why It’s Important?
Data serves as the essential support structure across all industries today. Organizations seeking to modernize systems require efficient data migration to improve operational efficiency through improved data access. Partnering with the best data migration services company could make this transformation seamless and more secure. As businesses continue to grow, what is a data migration? Simply…
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![Difference between Data Science and Machine Learning [2025]](https://diggibyte.com/wp-content/uploads/2025/07/lY6meKzT.jpg)
Difference between Data Science and Machine Learning [2025]
Knowing the difference between data science and machine learning is important for businesses and professionals. This knowledge helps them stay ahead in the AI-driven world. Data science focuses on extracting meaningful insights from structured and unstructured data. Machine learning enables systems to learn from data and make predictions using algorithms without explicit programming. Data science…
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Data Visualization 2025: What It Is & Why It’s Important
Data visualization enables complex information to become graphical representations such as infographics, maps, graphs and charts amid the global exponential increase of data. This change allows business people and researchers to show data better. It helps improve communication, decision-making and understanding. Data visualization tools enable companies and data analysts to identify patterns and correlations hidden…
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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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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…