Data Warehouse

Data Warehouse
Cloud Infrastructure Strategy in 2021Cloud Infrastructure Strategy in 2021

This survey focuses on the pain points driving the decisions for Cloud Infrastructure and the overall approach towards it.

Thinking about deep machine learning, how ready is your data (cleaned, prepped and labeled) for compute-heavy data models?

Top Answer : Probably depends on age and size of business. Ours has divisions over 100 years old or acquired less than 2 years ago. We struggle with data quality even within a division. Note that our smallest is probably 25,000 employees and largest 40,000. Total company 130k people, 15 major ERPs and probably 20 minor ERPs. We still have debates on Customer address and shipping fields sometimes during consolidations. My estimate 35% of the data we would like to use is ready

How do you manage data access/policy management across cloud and 3rd party applications? Include your favorite vendor in the comments.

Top Answer : IAM is a start, but also need multi-cloud SIEM tools that integrate with cloud providers and IAM. I look at brews of Okta, Sailpoint, Sumo Logic, Splunk, and other tools as we build.

I'm building most on... share "why" in comments...

Top Answer : Virtually nose-to-nose here out the gate, would be great to hear some arguments for/against your choice...  thanks for participating in the poll - I recently joined Pulse so we can put that interview we were planning in my past life on permanent hold ;)  - any additional thoughts here? Thanks!

What are your thoughts on SaaS management platforms (SMP)?

Top Answer :

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What do organizations get wrong when it comes to data lifecycle management?

Top Answer : The way we’ve produced consolidated reporting is all the data gets dumped into Snowflake, and then you try to find connections. It's less of a data warehouse and more of a dumping ground. Maybe we could try to create consolidated reporting and then try to figure out the data integrity issues. That's one area that I think we are hoping to modernize at ZoomInfo. In a way it's just an evolution that’s part of any startup story, they're growing too fast. It's a great opportunity to bring in that rigor so that we can scale to the growth, streamline and hopefully optimize all of the operations, systems, and technology. We need to have data lifecycle management, otherwise we'll just keep collecting it all.

What are the main challenges you face with using cloud cms?

Top Answer : Backup and restore. Often all or nothing, lack of granularity, lack of easy cloning of environments for test purposes

What are the best open-source tools for Data Governance?

Top Answer : Do you have any tool recommendations  & ?