Data Analytics
Data and analytics strategy: how to decide what to analyze
How to choose which decisions, questions and metrics your company should analyze first.
15 min of reading
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Insights in Software, Data, and AI
Stay connected with the latest news in technology, innovation, software development, and best market practices from the perspective of our experts in software, data, and artificial intelligence.
Business Intelligence
Power BI governance: how to balance control and self-service at scale
Operating model, guardrails, trust and monitoring for Power BI at scale.
18 min of reading
Artificial Intelligence
How to choose an AI agent framework (and when to skip one)
Pick an agent framework by control, reliability and team fit.
14 min of reading
Data Engineering
What is data engineering? The lifecycle, stack and roles
How raw source data becomes something the business can trust and use.
14 min of reading
Software Development
Python
How to choose a programming language and framework
Pick languages and frameworks by workload, team and lifecycle
14 min of reading
Data Engineering
Data Analytics
The future of SQL: what changes when data is distributed
Why SQL still runs distributed analytics, and what changes per engine
12 min of reading
Data Engineering
Data Analytics
Workflow orchestration with Apache Airflow: a practical guide
How workflow orchestration with Apache Airflow keeps data pipelines reliable
15 min of reading
Data Engineering
When to use Apache Kafka (and when batch is enough)
When Apache Kafka is worth the cluster, and when batch still wins.
14 min of reading
Data Engineering
Data Analytics
Great Expectations (GX) demystified: a practical guide to automated data validation
Automated data validation with Great Expectations (GX): a practical guide.
13 min of reading
