A 2020 TDWI survey shows that the average data-driven organization will have more data on cloud than on premises by 2023. Many organizations have already passed this tipping point.
Organizations are aggressively moving data and its management to the cloud for analytics as well as data science and machine learning. These benefits contribute to the success of business-driven programs in analytics, data science, reporting, warehousing, and time-sensitive operations.
However, achieving these business and technology goals depends on creating a practical, sustainable, and optimized architecture for cloud data. There are many layers in a modern cloud data architecture, but two layers stand out because they determine success or failure: the cloud data platform and cloud data integration. This webinar will drill into how these two layers work together to create a successful modern cloud data architecture.
By watching this webinar you will learn:
Watch this webinar to learn how Fivetran and Databricks can help data teams automate the integration of modern data sources to build operational analytics and machine learning applications.
Kevin Clugage, Sr. Director, Partner Marketing at Databricks
Sean Spediacci, Sr. Product Marketing Manager at Fivetran