Systems | Development | Analytics | API | Testing

ETL Frameworks in 2025 for Robust, Future-Proof Data Pipelines

ETL (Extract, Transform, Load) frameworks have evolved significantly over the past two decades. In 2025, as data pipelines expand across cloud platforms, real-time systems, and regulatory constraints, the architecture and flexibility of ETL frameworks are more critical than ever. This post explores the key principles, features, and operational concerns that modern data professionals need to understand to build effective, scalable ETL frameworks for data engineering use cases.

Snow Report: What's Happening At Snowflake In May

Learn about recent additions to the Snowflake Horizons catalog as well as new resources for updating your data skills in this month's edition of the Snow Report. You'll also find information on Summit 2025, Snowflake's premiere annual conference, as well as links to podcasts, news announcements, and more.

The AI Roadmap: 6 Essential Steps to AI Readiness

Everyone is taking part in the AI scramble, some more successfully than others, as we all know. But many enterprise companies are still just getting their feet wet. Here at Qlik we saw an opportunity to try to capture what it is that these successful companies did to get value from AI for their organizations. So, we partnered with IDC to get those answers and discovered that preparation is a major difference maker for success with AI.

15 Benefits of BI Dashboards That Make Work Easier

Business intelligence (BI) dashboards, also known as BI dashboards, are a powerful way to help people collect, share and analyze their business data to make informed decisions. Business dashboard software can help users monitor operations, optimize processes, and improve overall business performance by having data readily available, and can also help detect and prevent potential problems before they become issues with its use of real time data.

Ep 22 | Lessons in Tech and the Two-Way Street of Mentorship with AWS's Melissa Dougherty

As part of our Women Leaders in Technology (WLIT) series on The AI Forecast, we’re joined by Melissa Dougherty, Global Managing Director of Partner Sales, Financial Services. Each quarter, we’ll take a break from the regularly scheduled AI programming on The AI Forecast to direct our attention to this important topic in tech.

Data-driven admissions: Optimizing enrollment with automation

Universities must integrate scalable, automated data solutions to centralize information, reduce inefficiencies, and enhance decision-making, ensuring a seamless, student-centric experience. To discuss how to do just that, Ilia Xheblati, Director of Analytics Engineering at Northeastern University, joined us to get to the heart of embracing scalable, automated data solutions so universities can eliminate inefficiencies, streamline decision-making, and create a more connected, student-centric experience.

How to Achieve Secure, Scalable Multi-tenancy for GPU Infrastructure

By Erez Schnaider, Technical Product Marketing Manager, ClearML In a previous blog post, we laid the foundations for understanding multi-tenancy in GPU-access infrastructure and highlighted its critical importance. In this post, we’ll dive into ClearML’s approach to achieving secure and efficient multi-tenancy. At a high level, multi-tenancy refers to the ability to share a single resource pool, typically GPU or CPU clusters, across multiple, logically isolated entities known as tenants.