Top Considerations in Building an Analytics Ready Data Pipeline to the Cloud

June 29 at 12:30 PM EDT - Top Considerations in building an Analytics Ready Data Pipeline to the Cloud

Moving data to the cloud comes with many challenges. Traditional ETL processes are struggling to deliver scalable, effective, and timely data for the business. This results in frustrated business users from slow delivery of data and a workplace reporting on out of date, inaccurate and untrusted data.

This session will focus on the role an integrated data integration platform can help in enabling you to build a high performant analytic ready data pipeline to the cloud. See how Qlik enables Customers like Devon Energy to deliver data where they need it, in the right format with the freshest data.

Highlights include:

• Top Considerations when building and managing a high performant analytics data pipelines in a zero-code environment
• Low Latency with Change Data Capture (CDC) and Batch Reduction to capture changes as and when they occur in real-time
• A clear path to value with near real time delivery of data to all cloud platforms including AWS, Azure, GCP and Snowflake
• Limited System Impact that delivers high-performance replication with minimal impact to the performance of your transaction systems such as SAP

Qlik's Data Integration Platform can help transform your organization's modernization programs and data analytics strategy by using real-time data replication