Google Cloud Platform (GCP) provides various services and tools that can be used in conjunction with Hadoop to build, deploy, and manage big data processing and analytics solutions. Here’s how you can leverage GCP for Hadoop-based data processing:

1. Google Cloud Dataproc: Dataproc is a fully managed Apache Hadoop and Spark service on GCP. It allows you to create Hadoop clusters quickly, scale them as needed, and automatically manage cluster resources. Dataproc also integrates with other GCP services, making it easy to use data stored in Google Cloud Storage or BigQuery as input for Hadoop jobs.

2. Google Cloud Storage: Store your data in Google Cloud Storage, a scalable and cost-effective object storage service. Hadoop jobs running on Dataproc can read data directly from and write data to Google Cloud Storage.

3. BigQuery: Google’s fully managed data warehouse, BigQuery, can be used in conjunction with Hadoop for SQL-based analytics. You can export data from Hadoop to BigQuery for further analysis and visualization.

4. Dataflow: Google Cloud Dataflow allows you to build real-time or batch data pipelines using Apache Beam. You can integrate Dataflow with Hadoop for ETL (Extract, Transform, Load) tasks, stream processing, and data enrichment.

5. Google Dataprep: Dataprep is a data preparation tool that can be used to clean, transform, and structure data before processing it with Hadoop. It offers a user-friendly interface for data wrangling.

6. Cloud Composer: Cloud Composer is a managed Apache Airflow service on GCP. You can use it to orchestrate Hadoop workflows, schedule jobs, and manage dependencies between different data processing tasks.

7. Stackdriver: Monitor and manage your Hadoop clusters and jobs using Stackdriver, GCP’s observability and logging tool. It provides insights into the performance and health of your Hadoop infrastructure.

8. Customization: GCP offers flexibility, allowing you to customize Hadoop configurations and install additional Hadoop ecosystem components as needed for your specific use cases.