Tag: #data
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Unleashing the Power of Explode in PySpark: A Comprehensive Guide
Efficiently transforming nested data into individual rows form helps ensure accurate processing and analysis in PySpark. This guide shows you how to harness explode to streamline your data preparation process. Modern data pipelines increasingly deal with nested, semi-structured data — like JSON arrays, structs, or lists of values inside a single column.This is especially common…
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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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Delta Lake Speed-Up: Z-Order on Single vs. Multiple Columns
Introduction As organizations ingest massive volumes of data into Delta Lake, query performance becomes critical, especially for dashboards, ad-hoc analysis, and downstream ETL jobs. One powerful technique to reduce query latency and improve data skipping is Z-Order Optimization. In this article, let’s cover: What Z-Ordering is How to apply it to single vs. multiple columns…
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From Big Data to Big Insights: Paginated Reports Made Easy
Introduction to Paginated Reports: Paginated reports are designed to be printed or shared. They are called paginated because they are formatted to fit well on a page. They display all the data in a table, even if the table spans multiple pages. You can control their report page layout exactly. Power BI Report Builder is…
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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…