Combining your Data Warehouse and Data Lake in the Cloud

Presented by

Ross Perez, Senior Director, EMEA Marketing, Snowflake

About this talk

LIVE AT 2:00PM BST Traditionally, the data warehouse and data lake have been like oil and water. The data warehouse was a curated and governed source of strictly relational data that the business could build reports with using SQL. The data lake was a more lightly governed home for much larger volumes of data, usually encompassing semi-structured data as well as structured data. Having two silos for data is inconvenient, but there simply wasn't a technology that could deliver the benefits of both EDW and data lake in one place. Now with Snowflake, The Cloud Data Platform, organisations now have the ability to store any amount of data of any kind with the flexibility of schema-on-read. At the same time, you can query all of your data with standard SQL and realise the governance and simplicity of the relational data warehouse. Join us to see how Snowflake's unique built for the cloud architecture enables these two powerful analytics tools to finally coexist.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (78)
Subscribers (8693)
Matillion is data transformation for cloud data warehouses. Only Matillion is purpose-built for Amazon Redshift, Snowflake, and Google BigQuery enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Trusted by more than 800 companies to meet their data integration and transformation needs, Matillion products are highly rated across the AWS, GCP and Azure Marketplaces. Matillion is dual-headquartered in Manchester, UK and Denver, Colorado. Learn more about how you can unlock the potential of your data with Matillion’s cloud-based approach to data transformation.