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Data Lake
Data Centers in 2021Data Centers in 2021

Have your data center priorities changed? Benchmark where you’re at with data centers against your peers.

If you had a magic wand - what's the #1 daily business challenge you'd eliminate?

Top Answer: Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.

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

Data Lake vs. Data Warehouse - what strategy is working at your organization?

Top Answer: Data Warehouse has been working for us over the years. Data Lake is something that I am interested in implementing down the road.

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Are data lakes a good way to manage big data?

Top Answer: Yes, however only if they are created and managed properly, otherwise it becomes a data warehouse

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Where do you think your organization needs the most help in the Cloud related technologies / solutions?

Top Answer: These votes are interesting. While initially "Cloud native development" was leading in comparison with "Cloud migration", currently it looks like (at 88 votes), "Cloud migration" is leading and the Cloud native development has lagged.   Does that mean Organizations are yet to migrate many of their workloads to Cloud yet (at the end of 2021), and Cloud native development takes a backseat in the priorities overall?

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

Top Answer:

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Who’s Responsible for loading raw data into your Data Lake?

Top Answer: Data owners are. While the Data Lake or Enterprise Platform Team provides the tools, processes, and constraints for the upload, no one knows understands the data better than the data owners. Based on their understanding of the data, data owners select the most relevant and applicable data, make sure that the data is clean and meets the quality requirements, and prepare the final data set to be uploaded. Then they load the data using the tools and processes provided by the platform teams.

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Does anyone have a favorite alternative to Tableau? Why?

Top Answer: PowerBI looks more modern, is included within our O365 licensing and appears to have all the same functionality we use/need within Tableau - without the licensing public/server limitations, overhead, hassle, needless complexity. It feels like a part of our ecosystem.