We are using Hadoop ecosystem as a Big Data platform, it is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.

Products and solutions:

1. Stream analytics: Ingest, process, and analyze millions of events in real time, from anywhere in the world, and syndicate your stream across projects and apps.

2.Workflow orchestration: Simplify and unify workflow orchestration across public clouds and on-premises environments.

3.Machine learning and Cloud AI: Build, train, and serve customized machine learning models or simply use pre-built models with Cloud AI APIs.

4.Marketing analytics: Unify marketing data in Google Cloud to enhance customer experiences, predict business outcomes, and improve campaigns.

5.Data processing with Apache Hadoop and Apache Spark: Rethink operations with 90-second Hadoop and Spark cluster spin-ups and per-second billing only for the resources you use.

6.Business intelligence: Democratize insights and unlock the value hidden in your data with GCP and existing third-party BI tools.

7.Cloud-native data warehousing: Free up your team from managing infrastructure with BigQuery — a serverless, fully managed, and scalable data warehouse.

8.Data lake: Store, process, and analyze massive volumes of structured and unstructured data in a secure, cost-efficient, and agile way.

9.Tech: Spark, Hive, HBase, Impala, Kudu, Oozie, Airflow, Talend, etc.