OCI 1Z0-1195-25 Glossary: Key Terms

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 Sunday, May 10, 2026