Data Migration

What does the SAP S/4HANA migration cockpit do, and how do you open it?

What information is held inside a migration object in the migration cockpit?

How does the staging tables method keep repeated data loads from touching live application data?

What is the tradeoff of using direct transfer instead of staging tables, and which deployments can even use it?

In a public SAP S/4HANA Cloud project, which migration method must you plan for?

What are the four data load preparation tasks before executing a migration?

Put the staging tables migration execution steps in the order they are performed.

When should data migration preparation start relative to the rest of the implementation?

When mapping legacy data sources to required objects, what do you do about fields that have no legacy source?

Are completed historical transactions like closed sales and purchase orders migrated into the new S/4HANA system?

Why can't you reuse last quarter's migration templates without checking them after an upgrade?

What are your options when no standard migration object exists for the data you need to load?

Where do you find the list of migration objects available for your S/4HANA Cloud system?

How do you view the migration cockpit field structures during preparation?

What does a downloaded migration template file actually contain?

You filled one optional sheet in a migration template. What does that now obligate you to complete?

When is defining a data extraction specification not needed, and what happens when it is?

Why must the legacy extraction process be built to run efficiently at cutover rather than just once?

In which phase does data migration execution happen, and why load final data for UAT?

What is a migration project, and how should you scope it when you first create it?

What is the upload file size limit for migration templates, and does zipping files get around it?

If a staging-area upload has errors, can you fix and reload it during the realize phase?

After staging data is loaded, what happens during validation and value mapping?

Beyond checking completeness, what is the point of removing extraneous records from the legacy source before migration?

What is the purpose of the data migration activity in the realize phase?

Why is realize-phase data migration run as repeated cycles instead of a single load?

List the steps of the migration cockpit data migration process, in order.

For the second and third test transfers, do you reuse the same migration project? Why or why not?

During a migration simulation, is the data written to the real database tables?

How does the data load process for SAP S/4HANA Cloud, private edition compare with the public cloud process?

SME vs LE data preparation model for private edition — what distinguishes them?

What does defining the data migration architecture actually produce, and when should it start?

Which factors drive the choice of data migration approach?

What are the three ways the SAP S/4HANA migration cockpit can move data into the new system?

For a very high-volume object, why not run the first test cycles against the full data set?

What deliverable closes out realize-phase data migration, and who reviews it?

How is the final production data load sequenced to shorten the cutover window?

Why does the SAP S/4HANA migration cockpit ship predefined migration templates instead of having the project team build load routines themselves?

Why does every new SAP ERP implementation require a dedicated master data migration effort before go-live?

What is the payoff of cleansing legacy data before converting it, and when should it start?

When would a project bring in SAP Data Services instead of, or alongside, the migration cockpit?

Which tool adjusts or creates migration objects and mappings, and in what kind of project is it used?

What does data volume design set out to agree, and in what terms is it expressed?

Data aging, data archiving, and data deletion — how do these three volume techniques differ?

Why is legacy data migration called a critical success factor for a new S/4HANA implementation?

What are the first data migration steps carried out during the explore phase?

What does the data migration approach and strategy document lock down?

When are data migration functional specifications written, and what do they cover?

Why might some realize-phase migration work start before the explore phase is even finished?

In the realize phase, what do the migration programs support, and how varied can the deliverables be?

What does simulating the data migration do that makes it safe to run before the real load?

How is the final data migration executed, and why is the cutover sequence maintained afterward?

You need to see the S/4HANA Cloud field structures before mapping legacy data. What do you download, and from where?

Why does defining data-extraction specifications aim for a repeatable process rather than a one-off pull?