How awesome would it be if you could bring new and underutilized data sources alive? How hard is it to scale up to ingest millions of messages per second? Can you give your teams a secure, productive, and collaborative data environment? Focus on what matters: your data and your insights.
Felipe Hoffa explains how Google Cloud can help you go from data to insights while abstracting away infrastructure complexities. Cloud Dataprep helps you interactively explore, clean, and ingest existing datasets. Cloud Dataflow allows you to merge both batch and streaming pipelines into one unified model, sunsetting the lambda architecture. Distributing hundreds of million of messages per second? Easy with Cloud Pub/Sub. Felipe then shows you how to analyze terabytes of data in seconds with BigQuery and how to make all this data accessible to everyone from data scientists to executives with Datalab and Data Studio.
Expect live demos. These tools are real, and you can start using them right now.
This session is sponsored by Google Cloud.
Felipe Hoffa is a developer advocate for big data at Google, where he inspires developers around the world to leverage the Google Cloud Platform tools to analyze and understand their data in ways they could never before. You can learn more from his videos, blog posts, and conference presentations.
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