Google Cloud Platform's Dataflow integrates with Salesforce Wave and Chatter to process big data without separate ETL tools or on-premise warehouses. Data flows directly from sources like ad servers and mobile apps into Wave for analysis, then teams collaborate on insights through Chatter.
With modern architecture, you can compute and process big data at massive scale, yet this architecture often remains fragmented, requiring multiple tools like etl, data preparation, data warehouse and an analytics solution on top of it. With Google Cloud Platform and Salesforce, you can remove this complexity. Google Cloud dataflow simplifies data processing. There's no need to manage distributed systems, no separate ETL or data preparation tools, and no need for complex and oftentimes inefficient MapReduce. Use cloud dataflow to process and enrich your data such as ad server purchases or mobile app usage. Then natively push it to wave analytics 100% cloud to cloud, you can combine big data with customer data. Freely explore and drill through data to get answers on any device and from inside Wave. Chatter this out to collaborate with your team from anywhere. With Google Cloud Data Flow and Salesforce Wave analytics, you can easily analyze massive amounts of customer data and turn big data into actionable insights.
