Google Cloud Platform1.17 млн
Опубликовано 7 сентября 2016, 10:48
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Real-time ingestion and analysis of data streams is advantageous for organizations handling clickstreams, logs, or IOT data sources. However making the move from batch to stream processing has historically been difficult to do. No longer. In this webinar Eric Schmidt, Developer Advocate for Google Cloud Platform will explain how three key pieces of technology – BigQuery, Cloud Pub/Sub, and Cloud Dataflow – come together to make fast and scalable streaming data analytics possible in highly dynamic, distributed environments.
Eric will dive into the benefits of moving your ETL (extract, transform and load) processes into the cloud using these technologies and why it makes sense for your business. This webinar will set you up with the basics for how to get started with real time analytics.
Real-time ingestion and analysis of data streams is advantageous for organizations handling clickstreams, logs, or IOT data sources. However making the move from batch to stream processing has historically been difficult to do. No longer. In this webinar Eric Schmidt, Developer Advocate for Google Cloud Platform will explain how three key pieces of technology – BigQuery, Cloud Pub/Sub, and Cloud Dataflow – come together to make fast and scalable streaming data analytics possible in highly dynamic, distributed environments.
Eric will dive into the benefits of moving your ETL (extract, transform and load) processes into the cloud using these technologies and why it makes sense for your business. This webinar will set you up with the basics for how to get started with real time analytics.
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