The business case for upgrading to a data lake
The future depends on a unified data architecture that can support everything from analytics and reporting to AI agents.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Governing your lakehouse with Fivetran Managed Data Lake Service
Lakehouse governance requires observability, access control, data lifecycle management, and more. Fivetran MDLS makes it easy.
What is an Open Lakehouse Architecture? (Technical Deep dive)
In this video, Dipankar breaks down the lakehouse architecture layer by layer - from object storage to table formats, catalogs, and compute engines. He covers.
What's a data lakehouse? Architecture and examples
Learn what a data lakehouse is, its core architecture, and how it compares to data lakes and data warehouses to solve modern data challenges.
Getting started with Apache Polaris Catalog in Fivetran's Managed Data Lake Service
Why the catalog matters, how to configure it with popular query engines, and the essential best practices every data engineer should follow.
Supercharging Qlik Open Lakehouse: Now Streaming, Trusted, Open, and AI-Ready
Earlier this year at Qlik Connect, we introduced Qlik Open Lakehouse, a fully managed, Apache Iceberg–based platform designed to make it easy and cost-effective for organizations to ingest, optimize, and manage data in open lakehouse architectures. And the first version of Qlik Open Lakehouse is generally available as of Sept 2025.
Building Your Next-Gen Lakehouse with Qlik, AWS, and Apache Iceberg
Real-time analytics has become a cornerstone of modern enterprises. Businesses are no longer satisfied with waiting hours or days for insights—they demand answers in seconds. The rise of AI, machine learning, and generative AI has only accelerated this need, putting immense pressure on data platforms to deliver reliable, scalable, and flexible architectures.
No More Swamps: Building a Better-Governed Data Lake Architecture
Two data challenges exist across almost all organizations: access and trust. These issues scale exponentially as an organization grows to the point that it can no longer hand around sheets of paper or approve database access. The demand for better data access drove the history of data warehousing, following the ethos that better decisions come from more data and that compute would catch up with demand. However, the hunger for collecting more data didn’t come without a cost.
Qlik Open Lakehouse: Now Generally Available
A few months ago, at Qlik Connect, we announced the launch of Qlik Open Lakehouse, a new, fully managed capability that brings together the best of the Upsolver platform together with Qlik Talend Cloud. And today, we are excited to announce the general availability of Qlik Open Lakehouse within Qlik Talend Cloud that makes it easy and cost-effective for organizations to ingest, optimize, and manage massive amounts of data directly in Apache Iceberg–based lakehouses.