ELT Pushdown Express flips the last two steps of traditional ETL (Extract, Transform, Load), first loading raw data into a data warehouse and then transforming it into a finished state that’s ready for reporting and analytics. This allows businesses to leverage their warehouse investment—along with its computing power and security model—to power their data pipelines. No SQL skills are typically needed because the tool allows users to specify a pipeline visually using hundreds of prebuilt operations and then automatically converts it into SQL.

IBM Cloud Pak for Data Express is a set of three pre-built, pre-sized offerings designed to address problems in cataloging, analyzing, and integrating data. The IBM Cloud Pak for Data Express offerings gives you a choice of three popular data fabric starting points: IBM Data Governance Express for a data catalog, IBM ELT Pushdown Express for data pipelines, or IBM Data Science and MLOps Express for analytics and modeling. Each provides pre-sized, pre-selected services designed to address a current data fabric need.

- Leverage existing warehouse investment: Reuse your warehouse's cores to power your data pipelines

- Reduce technical burden for data pipelines: Avoid manual SQL coding with an intuitive no-code/low-code tool

- Lower integration costs: Save with intelligent pushdown that optimizes computational resources for each ELT flow"

To purchase IBM ELT Pushdown Express via Azure marketplace please email: cpd_on_azure@wwpdl.vnet.ibm.com

This template deploys IBM Cloud Pak for Data Express v4.7 on a fully-managed Openshift Container Platform 4.12 using Azure Red Hat Openshift (ARO). The ARM template automatically provisions the underlying Azure services required for the Azure Red Hat OpenShift (ARO) cluster, which includes Azure Virtual Machine, Azure Virtual Network, and Azure Managed Disks. It provides you the opportunity to create or configure - Master and Worker Subnets, Availability Zone, Availability Sets, Custom DNS, Security groups, and User-defined routing.
Click here for detailed documentation and deployment information including the architecture diagram.