1 Cloud-Native Data Warehousing Bob Muglia

2 Scenarios with affinity for cloud Gartner 2016 Predictions: By 2018, six billion connected things will be requesting support. Connecting applications, devices, and “things” Reaching employees, business partners, and consumers Anytime, anywhere mobility On demand, unlimited scale Understanding behavior; generating, retaining, and analyzing data

3 Cloud attributes and requirements DYNAMICEASYFLEXIBLE SECURE Scalable Elastic Adaptive Lower cost Faster implementation Supports many scenarios Trust by design

4 structured Transactional data Relational Fixed schema Dominant in traditional environments Machine-generated Non-relational Varying schema Most common in cloud environments The data has evolved semi-structured

5 Today’s reality Barriers to insight Costly, complex infrastructure Web 3 rd -party IOT Enterprise apps Hadoop & noSQL Data Warehouse(s) Datamarts Data challenges

6 The evolution of data platforms Proprietary and Confidential Data warehouse & platform software Vertica, Greenplum, Paraccel, Hadoop, Redshift Data warehouse appliance Teradata 1990s2000s2010s Cloud-native data warehouse Snowflake 1980s Relational database Oracle, DB2, SQL Server

7 Multiple approaches to scaling Scalability with Concurrency Snowflake Scalability limited by storage contention Oracle Exadata Better scalability but still limited concurrency Teradata, Netezza, Greenplum, Vertica, Hadoop Shared-disk Shared-nothing Multi-cluster, shared data

8 Snowflake’s multi-cluster, shared data architecture Database Storage Where data loaded into Snowflake is stored Cloud Services Management layer that brings everything together Compute Where queries are processed

9 What does Snowflake enable? Cost effective storage and analysis of GBs, TBs, or even PB’s Lightning fast query performance Continuous data loading without impacting query performance Unlimited user concurrency Java >_ Scripting Full SQL relational support of both structured and semi-structured data Support for the tools and languages you already use

10 Building data driven applications that provide secure access to insights to pharmacies across the country Possibilities are endless Companies providing easy access to analytics to 80% of their employees Provide ability to flexibly combine semi- structured and structured data in one place, while scaling Driving attendance and fan experience through dynamic analytics

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