Big Data and Analytics
Snowflake 2019 Summit Recap
Even though it’s summer, we’re still talking Snowflake.
Snowflake hosted it's very first partner summit last week in San Mateo, California. With 1,800+ guests in attendance, they managed to sell out their first year! Snowflake executives, partners, prospects and fans were all in attendance to hear Snowflake announce some major changes in their organization aimed at bettering their SaaS platform for all users current and future.
Snowflake focused on innovation and improvement around 4 key elements: Their Core Data Warehouse, Data Pipelines, Global Snowflake, and Data Sharing.
Snowflake’s Multi-cloud Initiative -
The announcement of the multi-cloud initiative comes as no surprise from Snowflake. Companies are increasingly moving toward a multi-cloud strategy to reduce or prevent data loss and downtime, add flexibility to their insight and analytics, and avoids dependency on single cloud providers.
Snowflake also rolled out a new organization management tab in Snowflake to help clients manage multiple accounts, consolidate billing, view usage, and get a single, clear view into their Snowflake spending. Snowflake’s “pay as you go” model is already unique to the data warehouse, with users only paying when their warehouse is fired up and running, so the added benefit of a dashboard with all the information on spending in one place is especially attractive for organizations who are using Snowflake across multiple departments.
A Data replication feature is also expected to go to public preview for users in Q3. To help users replicate their data, analyze it and prevent loss across Snowflake accounts, Snowflake’s Data replication has the ability to replicate cross-region and even cross-cloud, such as from Azure to AWS. Failover and fallback from a primary to a secondary instance, including the option to create a single client URL for your BI tools to seamlessly failover without disruption to end users.
Possibly their most innovative announcement – an app store for data, allowing data providers to securely share both public and personalized data in near real-time.
We see this creating large network effects, such as enabling marketing firms to feed data back to their customers, or published external data sets to integrate with your own data for machine learning and predictive analytics. We are taking one step closer to leaving behind the ‘old way’ of sharing data via FTP and EDI and toward a future of enabling all your data, both internal and external, to be leveraged in one centralized database.
Snowflake’s OAuth and Identity Management –
Via OAuth, BI tools can now relay identity from an application directly back to Snowflake – Tableau is available today, and solutions from both Microsoft and Looker are coming soon. This gives Identity Providers, such as Active Directory or Okta the ability to propagate changes down to Snowflake, allowing for auto-provisioning and modifications of users and security roles extensibility. Another added benefit is the custom user-defined data types for applications on Snowflake, with Geospatial data types as the first release built using this framework.
Snowflake has grown exponentially since its inception in 2012 and they are using their $4 billion+ in funding towards completely reinventing the way modern data warehousing is done.
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Big Data refers to a large collection of structured, semi-structured or unstructured data that a business amasses. Knowing how to properly collect and sort through this massive amount of data may seem like a daunting task, but if done correctly, it quickly becomes an invaluable asset.
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