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Snowflake Summit Highlights and the Snowflake Vision

San Francisco, June 3-6, 2019 (Updated continuously)

Just now the Snowflake Summit is happening. Great Announcements – Today in Public Preview available:

Last 12 month Innovations:

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Where we are going? Major Investment Areas

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Core DWH Performance:
Huge concurrency, Low Latency (a lot of small queries)
Large and ad hoc queries, Data Science


Core DWH Security
oAuth. AAD, ..
Better Touch-points with external systems

Core DWH Rich Experience
Worksheets 3.0
Query Editor IntelliSense (Numeracy) , Schema Browser, Visual queries by column (histogram, data profiling at zero coding) , sharing of query with team members

Credential-less Stages

Separation of stage from physical touch point, storage integration => no longer passing of credentials, it allows separation of roles.

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Snowpipe Auto-Ingest

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Automatically load data into Snowflake

Your data should not be stuck in Snowflake (unload of Data should be simple)

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Kafka Connector

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Table Streams & scheduled Tasks

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External Tables

Connect your existing Data Lake

Hive-Meta-Store Integration

Listeners replays Meta Data changes

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Materialized Views on External Tables

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Database Replication (in Q3/2019)

80% of cloud customers go for a multi-cloud provider strategy

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Link/replicate Databases from AWS to Azure and from Azure to AWS (Primary and secondary Databases). From Account to Account and cross Region, cross Cloud on transnational database level.

Global Snowflake / Fail over by connection string

Standard and personalized shares

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Strategic partnership with Google Cloud!

In Q3 / 2019 in Preview

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If you do not have a data lake strategy yet, SnowfLAKE can be your Data Lake or extend your existing one.. Hadoop was like going back to stone-hedge in terms of performance, that’s why we created SnowfLAKE.

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Traditional DBMS
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How SnowfLAKE does it
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What’s Next ? Where do we invest?
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that’s connectivity! #LetItSnow19

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