Accelerate Your Journey from Netezza to a Big Data Platform

Friday, February 09, 2018 | 10: 00 am PT / 1: 00 pm ET

To achieve greater scalability and tighter integration with their enterprise data lake and cloud computing initiatives, many Netezza users are exploring various growth options. These options fall into two broad categories:

  • Continue with an IBM alternate solution, such as Power Systems, or
  • Migrate to a modern Hadoop/Cloud/Spark/S3-based data lake architecture

While switching to an IBM solution may seem to be the easiest option, it can create a proprietary vendor dependency that limits your flexibility to take advantage of the open source enterprise data lake or cloud investments you may be making. The flexibility to take advantage of modern data architecture technologies can deliver significant cost savings and near-infinite scalability. Enterprises can capitalize on this opportunity by offloading Netezza workloads to a Hadoop/Spark or cloud-based modern data architecture.

This webinar will show you how to put automation to work to reduce the cost, time, and risk of a large-scale migration. Experts from Impetus will also demonstrate a way to lift, shift, and transform Netezza workloads to big data "automagically," using the industry's first automated workload migration engine. This will be an interactive discussion followed by Q&A.



Venkat Chakravarthi,

VP - Modern Data Architecture Practice, Impetus Technologies, Inc.

Venkat has over 25 years of industry experience in big data analytics, data warehousing, ETL, and business intelligence. He is a trusted leader who collaborates with CIOs of Fortune 500 companies and acts as a global business architect and strategist to help gain new business insights through a better understanding of their data.

Dhirendra Sinha,

Product Manager – Data Warehouse Modernization Solutions, Impetus Technologies, Inc.

Dhirendra is responsible for analyzing customer’s business challenges and mapping them to provide a secure, scalable, and robust solution leveraging big data technologies. He has extensive experience in big data technologies and advanced analytics such as BI, Hadoop, RDBMS, and machine learning.

Witness Our Automagical Solution With Your Data