Big Data & Machine Learning Cloud OnBoard 1 2 1 Comparing storage options: use cases 3 2 5 3 Cloud Bigtable Cloud Cloud SQL Cloud BigQuery 6 Datastore Storage Spanner 5 7 6 Type NoSQL NoSQL Blobstore Relational Relational Relational 8 document wide column SQL for OLTP SQL for OLTP SQL for OLAP 7 9 8 Best for Getting “Flat” data, Structured Web Large-scale Interactive 10 9 started, App Heavy and frameworks, database querying, 11 Engine read/write, unstructured existing applications offline 10 applications events, binary or applications (> ~2 TB) analytics 12 11 analytical object data 13 data 12 14 13 Use cases Getting AdTech, Images, User Whenever Data 15 14 started, App Financial large media credentials, high I/O, warehousing 16 Engine and IoT data files, customer global 15 applications backups orders consistency 1716 is needed 17 18 Big Data & Machine Learning 1 2 Agenda 3 5 Fast random access 6 7 Warehouse and interactively query petabytes 8 Interactive, iterative development + Demo 9 10 11 12 13 14 15 16 17 44

Google Cloud Manual - Page 46 Google Cloud Manual Page 45 Page 47