Title: Data Modernization: How can you do more with less through containerized ETL?
Date: Wednesday, July 22, 2020
Time: 02:00 PM Eastern Daylight Time
Duration: 1 hour
According to Gartner- “By 2023, more than 70% of global organizations will be running more than two containerized applications in production, up from less than 20% in 2019”.
Today, traditional data warehouses and data marts simply cannot accommodate the large volumes of data being generated from customer touchpoints, both from digital and offline channels. That’s why organizations are taking on data modernization to transition away from legacy systems to a modern cloud-based architecture for its scalability and elasticity, and leverage different analytics services on cloud environments. Using Containerized ETL to access data across multi-cloud environments is a key success factor for your data modernization project.
Join TechD and IBM for this webinar to learn how IBM DataStage on Cloud Pak for Data along with OpenShift can help you do more with less through containerized ETL.
Phil Black VP of Client Services Scott Brokaw Offering Manager
Benefits from IBM DataStage on Cloud Pak for Data
|Cost savings from container management.
85% reduction in infrastructure management and improved hardware utilization with containerized workloads.
|True multi-cloud integration.
50% reduction in development costs when deploying runtimes on multi-cloud environments with design once, run anywhere capabilities.
|Maximize throughput and scalability.
Virtually unlimited scalability with a best of breed parallel engine for your mission control workloads and built-in workload balancing.
|Increased productivity with smarter job.
design vs. hand coding 87% savings in development cost when using ML assisted visual design compared to hand coding and backwards compatibility with client jobs for existing clients.
|Mitigate risk and increase compliance with Data Quality and Lineage.
Track lineage of your data in ETL jobs and automatically resolve quality issues at the time data is ingested by target-environments such as data lakes.
|Synergies due to integrated Cloud Pak for Data platform.
Utilize data discovery and metadata management for governance Co-location with Netezza or Db2 warehouse eliminates network hops View/update virtual tables from Data Virtualization sources.
* From Forrester Total Economic Impact report
|We look forward to virtually meeting you.