Everyone knows that more and more data is moving to the cloud. According to the latest research, 94% of all enterprises use cloud services and 48% of businesses store classified and important data in the cloud. While the cloud is ubiquitous, in practice it consists of data infrastructures in various locations around the world. The question of where the cloud data infrastructure storing your specific data is located is becoming increasingly important.
With the release of CDP Private Cloud (PvC) Base 7.1.7, you can look forward to new features, enhanced security, and better platform performance to help your business drive faster insights and value. We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers.
As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP), they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. CDP integrates its existing Shared Data Experience (SDX) with Ozone for an easy transition, so you can begin utilizing object storage on-prem.
Snowflake connected with David Coluccio from S&P Global Market Intelligence at the Snowflake Data Cloud Tour to hear how the company is using the Snowflake Data Cloud to curate massive amounts of data and provide seamless access for its clients. S&P Global’s foundation is rooted in providing essential insights to make more-informed decisions.
Manual regression testing is time-consuming, costly, and difficult to scale as your team grows. As you add more features to your product, you have to hire more people and spend more time completing your regression test suite in every software release cycle. Automating your regression test suite can help your team scale up testing without adding more headcount.
You say to-MAY-toe, I say to-MAH-toe. I hear the questions daily - "Did you validate the system? Did you verify the feature?" The words validate and verify are used interchangeably, but what do they really mean? Is there a difference? In the world of software development and quality assurance, yes… and you need to do both.
