In the world of data architecture, the medallion architecture format provides a powerful framework, particularly within lakehouse systems. This approach organizes data into three distinct layers: bronze, silver, and gold. Each layer serves a specific purpose, ensuring...
Constant threats put IT estates at risk, demanding proactive protection. From natural disasters, outages, credential breaches, to cyberattacks—every scenario requires careful planning. Among these threats, ransomware presents unique challenges for IT departments....
In the rapidly evolving world of data management, understanding the distinction between data transformation and data orchestration is crucial for organizations aiming to leverage their data effectively. While both processes play significant roles in data workflows,...
Building a data protection program doesn’t happen overnight, and the frequently used comparison to a journey is accurate, with lots of ground covered before reaching maturity. So, what’s the best way to get started? Determining which direction to go. An interesting...
Data is the lifeblood of a modern organization, driving decision-making and propelling growth. Data classification ensures its vitality by properly routing it for maximum efficiency and security. Volumes of data are generated, collected, stored, and analyzed by...
Are you ready to take your business to the next level? Do you want to learn how to harness the power of AI and put it into action? Join us on Thursday, March 7, at 11:00 am to see how Converge Technology Solutions can help you define your AI journey. What You'll Learn...
Welcome to the Big Data & Analytics Montréal Summit:Big Data and Analytics Summit 2023! Explore the latest big data and analytics trends, such as advancements and challenges in artificial intelligence. Discover how to build high performing teams in data science...
All data has value, but not the same value. Critical data needs to be accessible while sensitive data needs stringent controls and less important data needs less resources. When DLP is adapted to specific data priorities and context and baked into workflows, rather...