Austin Chia
An Introduction to Batch Processing
Processing large amounts of data all at once — this is known as “batch processing”. Understand when and why we need it, even today when we stream so much data.
Data Mining: The Ultimate Introduction
Data mining is the sophisticated analysis of data. Learn how it helps to discover patterns and relationships within large datasets, informing strategic decisions.
Time Series Databases (TSDBs) Explained
Time series databases are powerful! How do they work & what can they do for your business? Get the full details on TSDBs here.
Data Management: Its Importance and Benefits
Managing data is a critical practice for any organization. In this article, learn all about the data lifecycle and best practices for data management.
What is Data Masking?
Masking data is an important step in data security and data privacy. Learn when and why to mask data, and then learn how to do it. Get the complete story here.
The AI Engineer Role Today
Learn all about the role of AI Engineer, including the skills, tools, and learning paths you need to become an AI Engineer.
Call Center Analytics & Metrics for Success
The call center can tell you a LOT about the experience of your customers. Know exactly what metrics & data to track to improve your call center operations.
Robotic Process Automation: RPA Today
A transformative technology, RPA automates business processes that are structured and rules-based. But RPA is not AI. Get the full RPA story here.
Query Languages: A Simple Introduction
Query languages are what make your database so powerful. Get to know the types of and most common query languages, and all the ways you can use them.
11 Common Data Types: A Comprehensive Guide
Explore 11 common data types in this comprehensive guide, covering integers, strings, booleans, and more. Learn their purpose and applications for data visualization.
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.
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.
What Is Data Logging?
In this blog post, we’ll cover an overview of data logging, including its key components, types, applications, and best practices for success.
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.
