Teradata · Two-week readiness sprint
Know what the Teradata estate contains before you pick a date
TechFabric migrates Teradata estates to Databricks with Fabric Airlift. The first two weeks are the Migration Readiness Sprint: objects, load utilities, macros and the consumers that still point at Viewpoint schedules. Lakebridge converts the SQL it can. BTEQ, FastLoad, MultiLoad, TPT and the primary-index design stay with a person.
A Teradata estate is old in ways a table count will not show. BTEQ, FastLoad, macros and primary indexes are the work. Two weeks on Fabric Airlift inventories the objects, names the load jobs and writes down what will never convert.
- Source
- Teradata
- Length
- Two weeks
- Who it is for
- Teams leaving Teradata whose load jobs and macros are still the system of record
- Bench
- 80 Databricks-certified engineers
What we look at on Teradata
- Tables, including SET versus MULTISET, and the primary indexes that still decide how they are read
- Macros, stored procedures and UDFs, and which of them hide a rule nobody wrote down elsewhere
- BTEQ, FastLoad, MultiLoad and TPT jobs, and the windows they actually run in
- Viewpoint schedules and the downstream consumers that still wait on them
- Character sets and export encodings that have bitten previous extracts
- Volatile tables and staging patterns that look unused until a nightly job misses them
What a person still has to do
- 01Primary indexes are not partitions. Access paths have to be redesigned against how the table is actually queried.
- 02BTEQ, FastLoad, MultiLoad and TPT become an ingestion path we choose. They do not convert.
- 03Macros and procedures stay in the residue until someone reads the business rule inside them.
- 04Viewpoint schedules become Databricks Jobs or Lakeflow. The clock and the dependencies have to be redrawn.
- 05Encoding and export quirks show up in the first extract, which is why the hard-object pilot is chosen early.
What the two weeks produce
- 01An inventory where every object is dispositioned as in scope, excluded, or owned by a person
- 02The exclusions written down and agreed, so the scope still holds when someone questions it in month four
- 03A dependency map and a wave plan that respects it
- 04A named owner against every workload surface
- 05Parity criteria per object type, agreed before any conversion runs
- 06A hard-object pilot, chosen as the thing most likely to break
- 07A go or no-go recommendation with the reasoning shown
What makes it faster
The sprint runs on Airlift, our migration accelerator. It composes Databricks Lakebridge for profiling, analysis, SQL conversion and reconciliation, then wraps that in scope acceptance, signed certificates and a reversible cutover. The inventory from these two weeks is the same ledger the migration runs on afterwards.
FAQ
Questions about Teradata to Databricks
Can you migrate Teradata to Databricks?
Yes. Teradata is one of the twenty-seven source platforms with an executable Airlift playbook. The first two weeks are the Migration Readiness Sprint at /databricks/migration-readiness. The load utilities and the macros are why that sprint exists.
Do you convert BTEQ and FastLoad?
No, and we will not pretend to. Those jobs become an ingestion path on Databricks, designed against the windows they actually run in. The sprint lists every one of them and names an owner, so they are not discovered the weekend of cutover.
Our Teradata estate is twenty years old. Is two weeks enough?
It is enough to know what you are looking at. The inventory, the exclusions and the hard-object pilot are the point. A twenty-year estate is exactly why you do not estimate off a table count.
Does the sprint commit us to leaving Teradata?
No. It is fixed fee and it ends with a recommendation. Some estates should move. Some should wait. Week two is when we say which.
The other sources
Snowflake
Snowflake to Databricks
Teams leaving Snowflake whose scope is still a table count
Azure Synapse
Synapse to Databricks
Teams leaving Azure Synapse whose dedicated pool, Spark and ADF still live as three projects
Two weeks
Migration Readiness Sprint
Same two weeks, if you would rather start from the sprint than from the source.