Ensuring Data Quality in PySpark: A Hands-On Guide to Deduplication Methods
Identifying and removing duplicate records is essential for maintaining data accuracy in large-scale datasets. This guide demonstrates how to leverage PySpark’s built-in functions to efficiently clean your data and ensure consistency across your pipeline. Predominant methods to remove duplicates from a dataframe in PySpark are: distinct () function dropDuplicates() function Using the Window function Using […]
Bulk API : An inevitable gamechanger
Essence: As businesses grow and handle ever-larger datasets, the demand for efficient data synchronization and management tools becomes increasingly essential. “Salesforce offers a robust ecosystem with a variety of APIs that facilitate seamless integration with external systems and enhance overall process efficiency.” It has become essential for the firm to deal with larger data sets […]
Triggering Azure Data Factory (ADF) Pipelines from Databricks Notebooks
Overview In modern data workflows, it’s common to combine the orchestration capabilities of Azure Data Factory (ADF) with the powerful data processing of Databricks. This blog demonstrates how to trigger an ADF pipeline directly from a Databricks notebook using REST API and Python. We’ll cover: Required configurations and widgets Azure AD authentication Pipeline trigger logic […]
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 […]
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 […]
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 […]
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 […]
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 […]
A Secure & Scalable Oracle Connection Strategy in Databricks Using OJDBC and Azure Key Vault
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 […]