Google BigQuery for the Big Data win

April 8th, 2014 talk given to the Hampton Roads .NET users group.

Transcript

1. Google BigQuery for the BigData win
2. There are lots of tools to analyze Big Data
3. There are lots of tools to analyze Big Data
4. You are here to learn about one of the tools
5. The current OSS tools can be complicated
6. You would like a fast and cost effective tool
7. Use Google BigQuery to analyze your Big Data
8. BigQuery makes analyzing Big Data easy!
9. Google learned from initial BigData technologies
10. Google learned from initial BigData technologies
11. Google learned from initial BigData technologies
12. Dremel provides the query system
13. Data can be nested
14. The storage format is columar
15. Google provides a familiar developer experience
16. Queries have a common SQL-ish syntax
17. Dremel has functions
18. Table joins are a little different
19. BigQuery Building Blocks
20. Projects
21. Tables and Datasets
22. Jobs
23. There are several options for working with data
24. Google Cloud Storage
25. BigQuery REST API
26. Command-line Tools
27. BigQuery is very cost effective
28. No equipment to maintain
29. On-Demand Pricing
30. Reserved Capacity Pricing
31. Questions? Important Links: BigQuery: http://goo.gl/hCOMZ Dremel: http://goo.gl/0EMwl MapReduce: http://goo.gl/n0agd GFS: http://goo.gl/WeuPy4 About Me: Ken Taylor Twitter: @taylorka Blog: switchspan.com