Leading the way for big data

Google is betting big on data. With so much business value being driven by data analytics, many modern technology companies are betting big on big data as well. Google offers a cohesive suite of tools to help you quickly and easily build out analytics solutions without getting bogged down in infrastructure management. From world-class data warehousing and analytics with BigQuery, to self-balancing data-processing pipelines on Dataflow, Google Cloud has tools to fit any need.

Teams can quickly start their data migration journey by moving existing Hadoop and Spark workloads to managed clusters on Dataproc. Rounding out these tools are services such as Pub/Sub messaging, Dataprep, and Google Data Studio for a fully managed, serverless, democratized analytics platform.

To further drive predictive analytics, Google is dedicated to bringing machine learning to the masses. With Cloud Machine Learning, users can easily get started with the powerful Google-born open source TensorFlow framework. This means developers can leverage the same tools Google uses internally to accomplish tasks such as speech and image recognition, all the while maintaining deep integrations with the rest of the big data offerings on GCP.