Austin Chia
Log Management: Introduction & Best Practices
Log management, a building block for observability, is a crucial IT practice. Understand the concepts, goals and best practices — including a simple tutorial.
Data Logging: An Introductory Guide
In this blog post, we’ll cover an overview of data logging, including its key components, types, applications, and best practices for success.
What is Fraud Detection and Prevention?
In this comprehensive guide, we will explore fraud detection and prevention strategies that can help mitigate the risks associated with fraudulent activities.
Data Observability: The Complete Introduction
Get the complete story on data observability here: what itis, the 5 pillars, benefits & implementing — and best of all, ALL the things you can do with it.
Stream Processing: Definition, Tools, and Challenges
In this blog post, we'll define Stream Processing and take a look at the challenges and advantages it offers over traditional batch processing.
Real-Time Analytics: Definition, Examples & Challenges
Real time analytics is data analytics, with speed! Analytics in real time isn't for everything, but it's perfect for certain areas. Get the full & fast story here.
Data Mesh Architecture Explained
Data mesh might be the solution you need. Want to enable teams to innovate, to own and drive their data? Learn all about data mesh right here.
Data Fabric Architecture: Benefits, Best Practices & Trends
Data architecture is a Big Topic for many today. Learn about the data fabric architecture, get started on your own, and consider trends that impact how we treat our data.
Data Security Today: Threats, Techniques & Solutions
Data security is more important than ever. With organizations relying heavily on technology for their sensitive information, the risk of data breaches is constantly rising.
Data Loss Prevention (DLP): Definition, Components & Types
Explore Data Loss Prevention (DLP), a vital security solution for safeguarding sensitive information, compliance, and minimizing data breach risks.
Data Governance: Definitions, Components, & Best Practices
Discover the importance of data governance in a data-driven world. Learn key components, benefits, and best practices for secure, high-quality data.
Data Lifecycle Management: A Complete Guide
Learn data lifecycle management (DLM) to effectively manage data throughout its lifecycle, from creation to deletion, ensuring security and compliance.
MELT Explained: Metrics, Events, Logs & Traces
Unlock the power of the MELT observability framework. Explore metrics, events, logs, and traces to optimize system performance and enhance customer experiences
What is a Data Architect? Responsibilities, Skills & Salary Explored
Explore the role of data architects: designing data infrastructure, ensuring security, and optimizing data utilization for modern businesses.
Data Sovereignty vs. Data Residency: What's The Difference?
Understand data sovereignty vs data residency for informed data management. Make compliant storage decisions in a complex data-driven world.
Web Analytics 101: A Comprehensive Guide
Discover how understanding website data and user behavior drives business success, optimizing experiences and unlocking customer insights.
Data Exfiltration: Prevention, Risks & Best Practices
Learn about data exfiltration as a threat to organizations. Discover techniques, risks, and prevention measures to safeguard sensitive information.
Data Integration: Everything You Need to Know
Discover the significance of data integration today, including techniques, challenges, and key components of successful data integration solutions.
