Tag: Data Architecture

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

Data Strategy: One Platform, Greater Gains

Maximizing Value Through Platform Unification In today’s data-driven business landscape, organizations face a common challenge: how to transform an increasingly complex data ecosystem into a cohesive, value-generating engine. While many enterprises have invested heavily in various data tools and technologies, this fragmented approach often creates silos, reduces efficiency, and limits the potential of data initiatives.… Continue reading Data Strategy: One Platform, Greater Gains

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

Databricks + Fabric: Better Together

  Organizations continuously seek robust, flexible, and scalable solutions to handle their diverse data needs in today’s rapidly evolving data landscape. Databricks and Microsoft Fabric have emerged as leading platforms, each with strengths and target personas. While they share some similar technical features, their unique approaches to data management make them highly complementary services. This… Continue reading Databricks + Fabric: Better Together

Migrate from Stored Procedures to dbt

We all love shortcuts. That’s why many organizations use stored procedures in their data warehousing processes. They’re an excellent solution for packaging and scheduling complex transformations through logical conditions. Stored procedures have become a core building block of teams’ workflows. But do they have any cons?  Data workers indicate a noticeable increase in data warehouse… Continue reading Migrate from Stored Procedures to dbt

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