OCI 1Z0-1195-25 Glossary: Key Terms
March 31, 2026
OCI 1Z0-1195-25 glossary of ingestion, cataloging, storage, pipelines, and governance terms.
Use this glossary to clean up high-confusion Oracle data-platform terms before you go back into mixed sets. On this exam, vocabulary mistakes usually hide a lifecycle-stage mistake.
High-value terms
| Term |
What it means here |
Why it matters on the exam |
| Analytics |
the consumption layer where prepared data supports reporting or decisions |
questions often hinge on where consumption begins |
| Catalog |
the metadata and discovery layer used to describe and find data assets |
catalog is a governance surface, not a processing engine |
| CDC |
tracked row-level inserts, updates, and deletes moved incrementally |
this is a common tie-break against generic streaming |
| Data lineage |
the record of where data came from, how it changed, and where it goes next |
lineage is a common governance and trust signal |
| GoldenGate |
Oracle technology used for replication and movement-style scenarios |
often shows up when low-latency change propagation matters |
| Ingestion |
bringing data into the platform from source systems or streams |
strong answers classify ingestion before anything else |
| Metadata |
descriptive information about data such as structure, owner, or usage |
metadata is not the payload itself |
| Streaming |
continuous event-oriented movement or processing |
not every low-latency need is generic streaming |
| Transformation |
cleaning, reshaping, validating, or enriching raw data |
transformation is a separate responsibility from ingest |
| Warehouse-style analytics |
structured query and BI consumption on prepared datasets |
analytics tools are not movement or integration tools |
Common confusion pairs
| Pair |
Clean separation |
| Catalog vs warehouse |
the catalog describes and organizes data assets, the warehouse supports analytic use of prepared data |
| Ingestion vs transformation |
ingestion brings data in, transformation changes its shape or meaning |
| Streaming vs CDC |
streaming is ongoing event flow, CDC is tracked row-level change propagation |
| Metadata vs data payload |
metadata describes the asset, the payload is the actual data |
| Movement tool vs analytics service |
movement tools transport or replicate, analytics services help consume and analyze |
| Lineage vs retention |
lineage shows history and flow, retention defines how long data is kept |
| Batch vs replay-safe design |
batch defines timing, replay safety defines rerun behavior |
Fast recall anchors
| If you see… |
Think… |
| nightly or scheduled arrival |
batch |
| row-level database changes |
CDC |
| discoverability and ownership |
catalog and metadata |
| prepared query and BI use |
warehouse-style analytics |
If three terms blur together
| Terms |
Short reset |
| ingestion, movement, transformation |
ingestion lands data, movement transports it between systems or stages, transformation changes it |
| catalog, lineage, metadata |
metadata describes data, catalog organizes it, lineage traces its history and use |
| streaming, CDC, batch |
streaming is ongoing event flow, CDC tracks row changes, batch runs on grouped schedules |
| analytics, processing, operations |
analytics consumes prepared data, processing builds it, operations keeps the system reliable |
Route misses well
| If you missed because… |
Go next |
| you mixed up lifecycle stages |
FAQ |
| you need tie-breaks fast |
Cheat Sheet |
| you need a paced rebuild of the weak lane |
Study Plan |
| you need the official Oracle source |
Resources |
Revised on Monday, June 15, 2026