#DataUnlimited - Google Big Data Unlimited
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The document discusses the capabilities of Google Cloud Platform (GCP) for managing big data, emphasizing the importance of focusing on insights rather than infrastructure. It highlights services such as BigQuery and Dataflow for simplified data analysis and processing, along with features like automatic scaling and integration with third-party software. The overall message is that GCP provides an economical, reliable, and efficient environment for big data solutions.
#DataUnlimited - Google Big Data Unlimited
- 1. Google Cloud Platform Big Data Unlimited Sebastien Agnan, Solution Engineer sagnan@google.com
- 3. Building what’s next 3 Time to Understanding Typical Big Data Processing Programming Resource provisioning Performance tuning Monitoring Reliability Deployment & configuration Handling growing scale Utilization improvements
- 4. Building what’s next 4 Time to Understanding Big Data with Google: Focus on insight, not infrastructure. Programming
- 5. StoreCapture Analyze BigQuery Big Data at Google Process DataflowCloud Storage DatastoreCloud SQL Hadoop/SparkKafka Pub/Sub Hadoop/Spark
- 6. • Publish and Subscription Service • Simple • Seamlessly Scalable • Many-to-many or one-to-one • Guaranteed Durable Delivery • Push or Pull • Secure and Encrypted PUB / SUB : Real-time and reliable messaging
- 7. Building what’s next 7 Lorem Ipsum Lorem Ipsum Reliable and Flexible Storage Performant and economical Blob, Block, Key Value, SQL and NoSQL Easy to use : API High performance : 99.95% SLA and 24x7 phone support Strong ecosystem of partners Data location (US,EU or APAC)
- 8. Building what’s next 8 Merges batch and stream processing Data processing pipelines Monitoring interface Significantly lower cost Google Cloud Dataflow makes complex data analysis simple
- 9. #gcpug | #googlecloud Google Cloud Dataflow Optimize Schedule GCS GCS User Code & SDK Monitoring UI Life of a Pipeline
- 10. Building what’s next 10 Scales automatically No setup or administration Stream up to 100,000 rows p/sec Easily integrates with third-party software Google BigQuery makes complex data analysis simple
- 11. #gcpug | #googlecloud BigQuery Analytic Service in the Cloud BigQuery Analyze ExportImport How to use BigQuery? Google AnalyticsETL tools Connectors Google Cloud BI tools and Visualization Google Cloud Spreadsheets, R, Hadoop
- 12. Building what’s next 12 A more flexible App Engine Complete Platform-as-a-Service. Focus on Code. Not infrastructure. Develop in your favorite language. Deploy with a click.
- 13. Conclusion
- 14. StoreCapture Analyze BigQuery Big Data at Google - Easy, Inexpensive, and Fast Process DataflowCloud Storage DatastoreCloud SQL Hadoop/SparkKafka Pub/Sub Hadoop/Spark
- 15. NEXT PARIS 13 OCtobre 2015 https://goo.gl/wgKqhT
- 16. Google confidential │ Do not distribute Thank You
- 17. #gcpug | #googlecloud Column Oriented Storage Record Oriented Storage Column Oriented Storage Less bandwidth, More compression