Ebook

Streaming Legacy Data to Kafka - Real Industry Stories

IT executives are constantly challenged by the need to accelerate the adoption of the most modern and powerful technologies while still having to rely upon their existing installed base of storage and compute infrastructure. The only practical path forward is to enable backwards compatibility.

Cloud-based, distributed processing frameworks and database platforms are enabling deployment of much faster and more powerful real-time processing and analytics systems. Yet the vast majority of the data they process is still being generated by a pre-existing installed base of older servers and applications. The costs and disruption that would result from any effort to replace these systems outright are simply incalculable. But the challenges of integrating them with modern, cloud-based distributed processing platforms are daunting.

In order to support its long-established position as a market leader in their industry, this insurance and asset management company is dedicated to continuous improvement and modernization of their IT systems. The company’s IT strategy centers on fully integrating its entire information base within an enterprise data hub, with the end goal of delivering rapid access to current and complete information to all areas of the business, from front-line customer services to back-office asset management, analytics and regulatory compliance.

Given the enormous scale and platform diversity of its infrastructure, one of the biggest challenges was enabling real-time ingest of transaction data to Cloudera for use as its data hub. This was especially true for the vast amount of data generated by core applications running on IBM/z mainframe systems.

Cloudera offers no native connectivity or processing capabilities for EBCDIC formatted mainframe files. Moving that data into the hub necessitated labor- intensive ETL processes that were managed by teams of exceptionally high skilled IT experts who were versed in both IBM/z mainframe and distributed cloud technologies.

Download this eBook to learn how three organizations used Precisely Connect solutions to fully integrate their legacy systems into their cloud platforms and analytics engines by streaming to Kafka, gaining real-time access to legacy data while eliminating the costs and delays of manual ETL processes.

Ebook: Streaming Legacy Data to Kafka - Real Industry Stories