FinQ for Finance Leaders: Turning Numbers into Narratives with Databricks

Finance isn’t just about reporting numbers anymore—it’s about shaping strategy, guiding capital allocation, and building resilience in a volatile world. CFOs and their teams sit at the centre of growth, profitability, and liquidity decisions, yet too often they are constrained by fragmented systems, static dashboards, and manual spreadsheets. In fast-moving markets, these limitations can be […]
People Decisions, Powered by Data: HRIQ + Databricks in Action

Hiring the right talent has always been one of the most critical priorities for organizations. Employees drive innovation, customer experiences, and long-term business performance. Yet despite its importance, the process of attracting, selecting, and onboarding employees has historically been riddled with inefficiencies. HR teams spend endless hours screening resumes, coordinating interviews, and onboarding new hires—only […]
Crystal Ball for Retail Business: DemandIQ + Databricks Redefining Forecasting

Retail has always been a business of margins, speed, and precision. Stock too little, and you lose customers to competitors. Stock too much, and you tie up working capital in slow-moving inventory while increasing markdown risks. Add in promotions, seasonality, supply disruptions, and rapidly shifting consumer behavior—and forecasting becomes less of a science and more […]
Handling CDC in Databricks: Custom MERGE vs. DLT APPLY CHANGES

Change data capture (CDC) is crucial for keeping data lakes synchronized with source systems. Databricks supports CDC through two main approaches: Custom MERGE operation (Spark SQL or PySpark) Delta Live Tables (DLT) APPLY CHANGES, a declarative CDC API This blog explores both methods, their trade-offs, and demonstrates best practices for production-grade pipelines in Databricks. Custom […]
Understanding RELATED and RELATEDTABLE Functions in Power BI

Data modeling is a foundational skill in Power BI, and mastering DAX functions that operate across related tables is essential for creating powerful and efficient reports. Two of the most useful functions for working with relationships in Power BI are RELATED and RELATEDTABLE. In this blog, we will explore what these functions do, when to […]
Event Stream vs Apache Kafka: Choosing the Right Engine for Real-Time Data

Introduction In today’s digital world, data is moving at the speed of thought. Imagine a fleet of 100 vehicles, each equipped with 200 sensors, continuously generating millions of events per second. This isn’t fiction — it’s happening in industries like logistics, automotive, and smart cities. If you delay this data by even 30 seconds, the […]
Liquid Clustering in Databricks: The Future of Delta Table Optimization

Introduction — The Big Shift in Delta Optimization In the ever-evolving world of big data, performance tuning is no longer optional – it’s essential. As datasets grow exponentially, so does the complexity of keeping them optimized for querying. Databricks’ Liquid Clustering is a groundbreaking approach to data organization within Delta tables. Unlike traditional static partitioning, […]
UDF vs Inbuilt Functions in PySpark — The Simple Guide

If you’re working with PySpark, you’ve probably asked yourself this at some point: “Should I use a built-in function or just write my own?” Great question — and one that can have a huge impact on your Spark application’s performance. In PySpark, there are two main ways to transform or manipulate your data: Using Inbuilt […]
Apache Spark 4.0’s Variant Data Types: The Game-Changer for Semi-Structured Data

As enterprises increasingly rely on semi-structured data—like JSON from user logs, APIs, and IoT devices—data engineers face a constant battle between flexibility and performance. Traditional methods require complex schema management or inefficient parsing logic, making it hard to scale. Variant was introduced to address these limitations by allowing complex, evolving JSON or map-like structures to […]
Turning Notebooks into Dashboards with Databricks

Why Databricks Notebook Dashboards Stand Out In the world of data-driven decision-making, dashboards are essential for turning raw numbers into actionable insights. While most dashboards help you visualize numbers, Databricks takes it a step further by making the process smooth, flexible, and tightly integrated with your working environment. Databricks notebook dashboards offer a unique blend […]