IBM Technology Expert Labs ADVISE for IBM DataStage Offerings

Our IBM Technology Expert Labs deep, product oriented professional services experts will help your organization with your newly setup for IBM DataStage on IBM Cloud Pak for Data environment for scalability, modernized applications, and integration across multiple sources on Azure or hybrid cloud environments.

Key Challenges may include: Inability to integrate to multiple source points; Challenges to deploy and scale; Design an architecture to run anywhere; Managing increasing data volumes; Data virtualization creation for a data mesh fabric; Dealing with configuration errors; etc.

Key Activities may include:

(i) Inspection of platform for optimization recommendations

(ii) Performance tuning recommendations

(iii) Best practices methodologies

(iv) How to's of leveraging any pre-built models for architecture for customization

Deliverables may include:

(i) Health check assessment document (ii) Sizing and/or sizing to scale recommendations (iii) Best practices principles recommendations (iv) Any repeatable software assets that may apply.

Pre-requisites:

An existing mature environment for IBM DataStage on Cloud Pak for Data on Azure or hybrid cloud or planning phase to implement a new environment or newly installed environment.

To acquire IBM DataStage on Azure please visit:

https://azuremarketplace.microsoft.com/en-us/marketplace/apps/ibm-usa-ny-armonk-hq-6275750-ibmcloud-asperia.ibm-cloud-pak-for-data-datastage?tab=Overview

Value Proposition:

With IBM's deep, product related skills and multitudes of customer engagements around the globe we can ensure that customers will benefit from learning from our best practices and leverage this on-going to possibly become self-sufficient over time (if this is a desired outcome).

Customers will benefit from any pre-built assets during this plan and assessment services offering to help accelerate their adoption of IBM DataStage and increase the productivity of your business and IT users. In-house resources will learn how to plan for automated job design and learn how to leverage out-of-the-box, native integration with cloud data lakes, real-time data sources, relational databases, big data, and NoSQL data stores on Azure public cloud or hybrid cloud environments.

"Advise" category of offerings are recommended based on the weekly scope of activities defined in the Service Description. Pricing is based on a week’s fixed scope of activities (in certain situations less than 5 days) and estimated conversion from USD. Quantities of the part number offering required may vary depending on requirements.