IBM Technology Expert Labs PLAN and ASSESS Data & AI DataStage Offering on Azure

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 (discussed in the briefing) 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 for our Offering (discussed in this briefing) may include:

(i) Inspection of platform for optimization recommendations

(ii) Performance tuning

(iii) Best practices methodologies

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

Deliverables for the Offering (discussed in the briefing) 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.

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.