Brendan Peterson

Brendan Peterson LinkedIn Profile

Brendan has been in the world of data for over 20 years as both an implementer of integration solutions and an evangelist of the benefits of comprehensive data strategies. His focus is on bridging the gap between technical discussions and clear business value, bringing to light the positive outcomes from a well executed data operation.

October 23, 2025

ETL vs. ELT: Differences, Pros, Cons, and How to Choose

Data loading seems simple on the surface — move information from here to there. The complexity emerges when you ask: at what stage should transformation occur? Before you load? After? This sequencing question, whether to restructure and clean data pre-load…

October 14, 2025

Best Data Analysis Tools to Use in 2025

Organizations are drowning in information yet starving for insights, with the global data analytics market exploding from $64.75 billion in 2025 to a projected $658.64 billion by 2034. This isn't just growth; it's a fundamental shift in how businesses operate…

September 4, 2025

How Semantic Context Powers Accurate Natural Language Query

As Gartner's 2025 Hype Cycle for Analytics and Business Intelligence reveals, natural language query (NLQ) sits at the "Peak of Inflated Expectations" with transformational potential, but without proper semantic foundations, most NLQ implementations fail to deliver on their promise. What…

July 10, 2025

Unlocking Agile Analytics with Composable Semantic Models from AtScale

In today's fast-paced world, companies must utilize data to make informed decisions. However, with so much data coming from various sources, company records, sales systems, cloud storage, and live data feeds, it's challenging to maintain everything in a neat, consistent,…

March 25, 2025

Cloud Cost Optimization: Strategies to Reduce Costs & Maximize Efficiency

What is Cloud Cost Optimization? Cloud cost optimization is the practice of reducing cloud expenses while maintaining performance and scalability. It involves analyzing cloud usage, right-sizing resources, implementing automation, and leveraging cost-saving tools to maximize efficiency. The goal is to…

January 23, 2025

Using AI for Data Analytics

AI has become increasingly popular among online users in the past several years. With the rise of generative AI tools like ChatGPT, AI has seemingly taken over the internet. Its use cases seem nearly unlimited, ranging from content generation to…

December 10, 2024

2024 in Review: AtScale’s Evolution and Innovation in Data Analytics

As we close out 2024, we reflect on a year of bold strides and transformative innovations at AtScale. From empowering collaboration, simplifying deployments, advancing natural language capabilities, and fostering interoperability, our mission to modernize data analytics has taken significant leaps…

October 24, 2024

How to Choose a Semantic Layer and the Technical Features to Look For

Businesses increasingly turn to semantic layers to bridge the gap between raw data and insightful decision-making in the rapidly evolving data landscape. The right semantic layer can be the linchpin for achieving faster data accessibility, improving collaboration between business and…