< class="displa mb-3 mt-md-4 mt-3 mb-sm-2 hpp-fs-x-medium cs-fw-extrabold text-white"> AI and ML

Pentaho ETL Tool Guide: Features, Use Cases, and When to Upgrade

By Pentaho

Pentaho’s approach to data lineage enables organizations to visually track and understand how data moves and is transformed throughout pipelines, enhancing data integrity, compliance, and trust in analytics.

How to Build Governed Data Pipelines Across Hybrid Environments with Pentaho

By Pentaho

Pentaho’s approach to data lineage enables organizations to visually track and understand how data moves and is transformed throughout pipelines, enhancing data integrity, compliance, and trust in analytics.

In the ETL vs ELT Debate, Data Engineers Still Need to Build AI-Ready Pipelines

By Pentaho

Pentaho’s approach to data lineage enables organizations to visually track and understand how data moves and is transformed throughout pipelines, enhancing data integrity, compliance, and trust in analytics.

Webinar: What a Real-World Credit Risk Team Taught Us About Modern ETL

By Pentaho

MarketAxess shares how they built scalable, trusted ETL pipelines to support global credit risk operations. Watch the full discussion to hear firsthand how a small team transformed fragmented data into a reliable, near real-time foundation for decision-making.

Webinar: Data Integration Reimagined - Why Leading Organizations Are Moving Beyond Open‑Source ETL 

By Jessica Allen

Explore why modern data has outgrown open source, the hidden costs and risks holding teams back, and how enterprise‑grade data integration helps organizations become data‑fit.

Data Integration: Strategies, Tools, and Enterprise Solutions

By Pentaho

Data integration is usually seen as a mature technology given its presence in enterprise data stacks for over twenty years. And certainly, most organizations have been leveraging data integration as a foundational data management solution, transforming and moving data for analytics and core operations.

Gartner D&A Orlando 2026: AI Didn’t Break Your Data Strategy — It Exposed It 

By Kunju Kashalikar

If you walked the halls of Gartner’s Data & Analytics conference in Orlando, one theme was impossible to ignore: AI isn’t failing because it’s immature — it’s failing because our data foundations are.  

From Pipelines to Insight: Pentaho’s Approach to Data Lineage

By Kunju Kashalikar

Pentaho’s approach to data lineage enables organizations to visually track and understand how data moves and is transformed throughout pipelines, enhancing data integrity, compliance, and trust in analytics.

Power Your AI Journey with Pentaho’s Most Advanced Release Yet

By Sandeep Prakash

Pentaho Release 11 delivers major advances across Data Integration and Business Analytics, from browser-based pipeline development to stronger security and governance. Built for modern data teams, it simplifies complexity, reduces risk, and helps organizations get data-fit for AI and analytics at scale.

A Modern UX for a Data-Fit Future

By Sandeep Prakash

Pentaho’s web-based PDI marks a new chapter for data integration: intuitive, centralized, and built for every persona. It’s smart simplicity in action — helping businesses get data-fit for AI, analytics, and what’s next.

 
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