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7 Data Integration and Quality Use Cases Managing data to meet modern needs is daunting, and so is searching for the technology to help. Until now, options have been limited to legacy products, Big Cloud hyperscalers, and point products — all of which have limitations and challenges. There’s a better way. Qlik Talend offers a […]

6 Data Integration Reference Architectures for Business Acceleration Your data needs to be able to contribute to real growth, innovation, and a competitive edge to your business.  Yet, as more data floods into your environment from more sources than ever, people-intensive integration tools can get in the way. Download Six Data Integration Reference Architectures for

5 Reasons Qlik and Snowflake Are Better Together: Automating the Data Warehouse for Faster Time-to-Insight Automating the Data Warehouse for Faster Time-to-Insight Now more than ever, data is moving to the cloud, where data warehousing has been modernized and reinvented. The result is an explosion in adoption. And for Snowflake users, Qlik offers an end-to-end

Transform Data in Your Cloud Warehouse Today’s data teams are being asked to integrate massive stores of data as quickly as possible. But traditional processes for managing data warehouses are hand-coded and complex. And that’s led to management complexity, developer resource constraints, cost overruns, and increased risk. You don’t have to settle for outdated data

Top Cloud Data Warehouses for the Enterprise: Amazon vs. Azure vs. Google vs. Snowflake Modern cloud architectures combine three essentials: the power of data warehousing, flexibility of Big Data platforms, and elasticity of cloud at a fraction of the cost to traditional solution users. But which solution is the right one for you and your

The Definitive Guide to Data Quality The most successful organizations rely on using data-driven insights to inform their most important decisions. But the insights you can extract out of your data are only as good as the data itself. That’s why data quality is so important — it can help ensure that every decision you

Supercharge Your Databricks Lakehouse A data lake is a foundational architecture for your data and analytics strategy, especially if it includes AI, ML, and data science initiatives. And for meeting today’s demands, Databricks has become the data lake of choice for many modern organizations. But data doesn’t integrate itself. You need a smart, modern solution

Reverse ETL Explained: Closing the Loop with Qlik Application Automation Isolated systems are bad for business. When you don’t have the right data at the right time, marketing platforms don’t properly target, finance solutions apply discount rules across the board, and customer support apps treat every client with the same indifference. There’s a way to

Maximizing Data Value in the Age of AI Now more than ever, organizations are grappling with a fundamental question: How can they quickly unlock the full value of data to accelerate business outcomes — while enhancing data trust and governance? To fulfill that need, a new way of conceptualizing and delivering data has emerged: the

Data Integration Success Stories: 12 Solutions to the Top Data Delivery Challenges Source-to-target time reduced from days to seconds. 60+ million rows replicated hourly. And improved data delivery by 400%. These are just a few of the outcomes that leading organizations have seen after solving their data integration challenges with Qlik®. Around the world, Qlik