A team wants visual, code-free data integration. What fits?
Why D is the answer
Cloud Data Fusion
Data Fusion is a visual integration tool.
In detail
- Cloud Data Fusion gives visual, code-free integration.
- It is a visual tool.
Use case
An illustrative scenario, not a real incident.
An integration team joins two sources with a visual pipeline in Cloud Data Fusion, with no code.
See it in different ways
flowchart TD
A{"What do you have?"} -->|"New batch or streaming pipeline"| B["Dataflow with Apache Beam"]
A -->|"Existing Spark or Hadoop"| C["Dataproc"]
A -->|"Visual, code-free integration"| D["Cloud Data Fusion"]
A -->|"SQL transformations in BigQuery"| E["Dataform"]mindmap
root((Processing))
Dataflow
Apache Beam
Dataproc
Existing Spark
Data Fusion
Visual, code free
Dataform
SQL in BigQuery
Managed Airflow
DAG orchestrationflowchart LR S0["Add source"] --> S1["Add transform"] --> S2["Add destination"] --> S3["Deploy"]
Key point: Data Fusion is visual integration.
Why the other options are wrong
- A. A custom Beam pipeline
- Beam is code.
- B. A hand-written Spark job
- Spark is code.
- C. A Hadoop cluster on VMs
- A Hadoop cluster is not code free.