Taking the traditional ETL approach to provide data from across the enterprise to the cloud is a manual, error-prone, and time-consuming process, draining organizations of time and resources that they just do not have.

In this webinar, you will hear how United Wholesale Mortgage has gained access to real-time data at scale by converting their data sources into live data streams, to better utilize data lake machine learning, and modernize their data architecture for cloud analytics.

United Wholesale Mortgage now delivers game-changing mortgage technology to dramatically increase the speed, accuracy, and access of customer related loan information, while reducing CPU utilization and computing costs. They have achieved this by using Qlik^™ Data Integration for data replication with Change Data Capture (CDC), Confluent for Apache Kafka^®, and Microsoft^® Azure Synapse for Cloud Data Warehouse modernization.

Register today to learn how Qlik, Confluent, and Microsoft enable you to accelerate the delivery of data and insights by unlocking the true potential of data from legacy systems.

• Build A Modern Streaming Foundation - Ingest real-time data with CDC technology from a wide breadth of sources including databases and mainframes to the cloud
• Keep Data In Motion - Continuously stream data from mission critical production systems, with low-latency and minimal impact, for multi-application availability
• Enable Real-Time analytics - Create analytic data pipelines that deliver the freshest data to enable advanced analytics use cases and realize quicker time to value from your data
• Low Code/No Code - Automate the processes to prepare continuous data streams with no hand coding required, simply drag and drop to build your real-time data pipelines.

Take advantage of modern analytics and microservices, enabling streaming analytics as well as streaming ingestion into data lakes and data warehouse platforms.

Register and receive the ebook ‘Fast-Track Business Insights with Data in Motion. In this eBook, you’ll learn how Qlik CDC Streaming and Confluent for Kafka work together to establish a flow of unbounded transactions from multiple sources to one or more targets. Discover how to fuel Kafka-enabled analytics use cases – including real-time customer predictions, supply chain optimization, and operational reporting – with a real-time flow of data.