Austin Chia's Blog Posts

Austin Chia is a data analyst, analytics consultant, and technology writer. He is the founder of Any Instructor, a data analytics & technology-focused online resource. Austin has written over 200 articles on data science, data engineering, business intelligence, data security, and cybersecurity. His work has been published in various companies like RStudio/Posit, DataCamp, CareerFoundry, n8n, and other tech start-ups. Previously worked on biomedical data science, corporate analytics training, and data analytics in a health tech start-up.

Data Exfiltration: Prevention, Risks & Best Practices
Learn
7 Minute Read

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
Learn
7 Minute Read

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.
Data Scanning Explained: What Scanning Data Can Do For You
Learn
6 Minute Read

Data Scanning Explained: What Scanning Data Can Do For You

How do you know which data is the most sensitive? Data scanning is your starting point! Learn how to scan data & get all the details here.
Metadata 101: Definition, Types & Examples
Learn
7 Minute Read

Metadata 101: Definition, Types & Examples

Often referred to as "data about data," metadata simplifies data management and actually helps you do all sorts of cool stuff. Get the details here.
What is a Data Scientist?
Learn
5 Minute Read

What is a Data Scientist?

From predictive modeling to AI-driven systems, data scientists harness data to make informed decisions and drive innovation. Here's all you need to know about the role.
Product Analytics 101: Definition, Metrics & Tools
Learn
9 Minute Read

Product Analytics 101: Definition, Metrics & Tools

Maximizing the quality and performance of a product doesn't end at launch — product analytics allow us to monitor and act on data to refine and optimize services