Google Cloud Platform
Embedded Artificial Intelligence (AI) / Machine Learning (ML)
Hybrid and Multi cloud
Cloud Dataflow, a fully managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness. Cloud Dataflow’s serverless approach frees you from operational tasks like capacity planning, resource management and performance optimization, while you only pay for what you use. Plus, Cloud Dataflow not only works with Google’s ingestion, data warehousing, and machine learning products, but also third-party tools like Apache Spark and Apache Beam.
Cloud Data Fusion is a fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. With a graphical interface and a broad open source library of preconfigured connectors and transformations, Cloud Data Fusion shifts an organization’s focus away from code and integration to insights and action.
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology.
A serverless, highly scalable and cost-effective cloud data warehouse designed to help you make informed decisions quickly. So you can transform your business with ease.