Tag: Data Engineering

A Data Intelligence Platform: What Is It?

  As data continues to be a crucial asset for modern businesses, having a sophisticated approach to managing that data is no longer optional—it’s essential. This is where a Data Intelligence Platform comes in. It is a system designed to connect, process, and extract actionable insights from enterprise data using AI-driven learning. Databricks is at… Continue reading A Data Intelligence Platform: What Is It?

Reaching New Heights with Databricks: A Feature Roundup for Data-Driven Success

Welcome to our latest Databricks New Feature Roundup! In this edition, we’re exploring some of the exciting new capabilities that Databricks has rolled out recently. From a revamped SQL Editor designed for better productivity and real-time collaboration, to cutting-edge integrations that bring more intelligence and automation to your analytics workflows, these updates aim to make… Continue reading Reaching New Heights with Databricks: A Feature Roundup for Data-Driven Success

Lakehouse: The Best Data Warehouse

The exponential increase in data variety, veracity, and volume brings the challenge of effectively storing, sorting, manipulating, and driving decisions using this data. Data warehouses, data lakes, and data lakehouses are the different data management architectures, each with their share of benefits and challenges. Find out how Lakehouse is the best data management solution for… Continue reading Lakehouse: The Best Data Warehouse

StreamFlake: Real-Time CDC Pipeline with Kafka and Snowflake

Building a Real-Time CDC Pipeline with Kafka and Snowflake (Part 1) 🚀 In a modern enterprise, there are several compelling reasons why you would/should want to replicate changes from one place to another, and even more for doing it constantly, reliably, efficiently, and fast. In this article, we will show how we replicated not one… Continue reading StreamFlake: Real-Time CDC Pipeline with Kafka and Snowflake

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