Introduction to Google Cloud Platform and BigQuery

Transcript

2. Hi! I’m Nawaid Shamim. I’m Google Developer Expert for Google Cloud Platform. Just Google me! :-)
3. What is Cloud Computing ? • On demand self-service • Broad network access • Resource pooling • Rapid elasticity • Measured service
5. PaaS SaaS IaaS CRM, email, virtual desktop, communication, games Execution runtime, database, web server, development tools virtual machines, servers, storage, load balancers, network Cloud Clients Web browsers, mobile app, thin client, terminal
7. Compute Engine IaaS Compute, Storage & Network Sub hour billing Hugely scalable Consistent performance
8. App Engine PaaS Runtime: Java, Python, PHP & Go Free quota Auto scaling Massively scalable
9. Cloud Storage IaaS Multi-pentabytes storage Globally replicated Highly available and reliable storage solution Flexible security models
10. Cloud Datastore NoSQL like solution Fully managed Highly available Hugely Scalable Flexible access Autoscaled
11. Cloud SQL Relational MySQL database Fully managed Highly available Auto backup
12. Big Query SQL like queries Analyse terabytes of data streaming data batch processing
13. Why Google Cloud Platform ? Run on Google’s infrastructure Mix and match services Performance you can count on Focus on your product Scale to millions of users Get support you need
16. Google Cloud Platform would like to offer all participants of /dev/summer $500 of credit to build your web or mobile app! To get started, follow the three steps below: 1. http://g.co/cloudstarterpack 2. Click "apply now" 3. Use the code: gde-in
17. What is big data ? Big data a collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications and techniques.
18. Data: Analyzing few hundreds Gigabytes or even Pentabytes of data. 100 Billion Rows Problem: Compute Limits I/O Limits
19. Big Query SQL like queries Analyse terabytes of data streaming data batch processing
20. How big query solves this problem ? Run queries on thousands of cores in parallel Performing IO on hundreds of thousands of disks Research paper : Dremel Engine.
21. Features BigQuery Cloud Datastore Cloud SQL Data Scale Unlimited Unlimited < 10GB Supports ad-hoc queries Yes No Yes Supports fast data lookups No Yes Yes Can be used as Hadoop source or sink Yes No No Replicated across geographical areas Yes Yes Yes Choice of datacenter locations No No Yes
22. How can you import data to Big Query ? Streaming Direct upload Google Cloud Storage
23. Lets play with public datasets Visit: http://bigqueri.es/
24. Thank you! Any Questions ? You can also email me@nawaidshamim.com