
Re-orchestrating and Modernizing Your Infrastructure with Cloud
Join Us Virtually
May 26, 2022: Mainframe Modernization
June 16, 2022: Data Warehouse Modernization
July 28, 2022: Re-Orchestration – Migrating to the Cloud
Modernize Your Data Architectures with Ness Digital Engineering and Confluent
From order processing to financial transactions, inventory control to payroll, mainframes continue to support many mission-critical applications, still performing most of the batch processing for many enterprises. Data-driven enterprises need real-time access to mainframe data to feed distributed applications, microservices, and other business operations and enable organizations to use all their data for competitive advantage.
A new generation of technologies is needed to consume and exploit today’s real-time, fast-moving data sources. With event streaming from Confluent, you can run your business in real-time, building fast-moving applications enriched with historical context.
Join Confluent and Ness Digital Engineering in this talk series to learn more about re-orchestrating and modernizing your infrastructure and how it will allow your organization to build sophisticated data and event-driven applications, uncovering data sources and deriving valuable insights, giving your business a competitive advantage.
May 26: Modernization of the Mainframe
June 16: Data Warehouse Modernization
July 28: Re-orchestration, the 7th R to Migrating to the Cloud
About Ness Digital Engineering
Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit ness.com.
About Confluent
Confluent is the data streaming platform pioneering a fundamentally new category of data infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion, designed to be the intelligent connective tissue enabling real-time data from multiple sources to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. Visit www.confluent.io to learn more.
Modernization of the Mainframe
May 26, 2022 | 11:00 – 11:45 AM EDT
Mainframes are still hard at work, processing over 70% of the world’s most critical computing transactions every day. But high-cost monolithic architectures and a lack of in-house expertise remain the key challenges. Companies fall short of their newer and more agile counterparts due to a significant roadblock – the legacy systems. Though CIOs are well-aware of this existential threat of a slow transformation, modernizing legacy systems is not a simple task.
Organizations migrate and modernize mainframes to the cloud, such as Amazon Web Services (AWS), for many reasons. Agility, time to market, diminishing COBOL developers, the move from structured programming to event processing, and reduced technical debt – are just a few reasons to modernize the mainframe footprint.
This discussion will examine the many ways to approach modernization and the many decisions needed to arrive at the right strategy for organizations. We plan to highlight the success factors for a successful mainframe modernization approach using several patterns while focusing on a native build approach using flow architecture. The most talked-about topic involving Mainframe modernizations involves the following:
- Unlock the power of real-time, streaming data on the mainframe
- Integrate with legacy CICS applications
- Bridge mainframe to the cloud
This discussion is for those who want to learn more about cost savings and performance enhancement and those who want to modernize their environment but can’t rip and replace it in its entirety.
Data Warehouse Modernization
June 16, 2022 | 11:00 – 11:45 AM EDT
Cloud has drastically changed the data analytics space as new technology has decoupled storage from compute to power new analytics, ranging from traditional BI to machine learning. Cloud data warehouses like Snowflake, Databricks, Redshift, Synapse, and BigQuery drive scalable, cost-effective analytics and reporting. Many organizations are looking to migrate away from legacy on-premises solutions (Teradata, Oracle, Cloudera, etc.) toward the cloud to take advantage of these new technologies.
By working with Confluent and Ness, organizations now have the opportunity to rethink how to populate these new data warehouses (DW). Instead of being left with traditional choices such as batch files, ETL, and legacy messaging, they can modernize their data movement architecture by connecting data across any environment (cloud or on-prem).
Data platform modernization is an integral component of most digital transformation initiatives. Kafka streaming capabilities can be a key element of these data warehouse and data lake modernization projects, enabling more efficient, performant, and cost-effective data pipelines.
Join us for this discussion to understand why Confluent’s data-in-motion platform is helping organizations connect hybrid and multi-cloud data to their cloud data warehouse of choice in real-time.
The discussion and demonstration will introduce the benefits of modernization, including:
- Reduced time to analytics by connecting data sources (on-prem and cloud) into your data warehouse without writing a code
- Normalizing, enriching, and transforming your source data in real-time before it is written to the data warehouse
- Future-proofing your architecture and gaining increased overall flexibility and business agility
Modernizing your data warehouse doesn’t need to be a multi-year lift and shift.
Re-orchestration, the 7th R to Migrating to the Cloud
July 28, 2022 | 11:00 – 11:45 AM EDT
Microservices architecture enables organizations to evolve their systems away from the slow and unresponsive shared-state architectures. Event-driven microservices decouple systems, teams, and products and streamline application development. In this session, we will take a deep dive into how you can use Confluent Cloud to explore event-driven architectures and how they can be applied across industries.
This data must be evaluated against the seven common migration strategies (7 Rs) for moving applications to the Cloud. These strategies are re-host, re-platform, re-refactor, re-purchase, retire, retain, and re-orchestrate.
Your Mainframe Modernization SMEs

Lloyd Altman
Global Head of Business Development
Ness Digital Engineering

Jeremy Hogan
Sr. Solutions Architect
Confluent

Rankesh Kumar
Senior Systems Engineer
Confluent

Peter Meulbroek
Head of Cloud and Data Practices
Ness Digital Engineering

Tom Morley
Senior Digital Transformation Architect
Ness Digital Engineering

Michael O’Brien
Business Development
Confluent

Ronald Olshausen
Global Head of Data & Analytics
Ness Digital Engineering

Jim Zucker
Solution Architect / Client Engagement Manager
Financial Services
Ness Digital Engineering
Program Sponsors

