How is Data analytics frameworks (including Hadoop, Spark, and other big data analytics or “data lake” platforms) implemented at your organization?

On my radar / researching24%

In production in one business unit or division43%

In production enterprise-wide17%


Not Interested12%


710 views1 Comment

CTO in Consumer Goods, 11 - 50 employees
The only Hadoop we see are legacy installations and every single one is in the process of migration to a cloud vendor. For customers with large data the preferences are BigQuery, Databricks, Snowflake, and Trino/Starbust/Athena.

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Non-production DBs (Dev, Training, QA, etc.)30%


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CTO in Software, 201 - 500 employees
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.
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Yes - Maine did the right thing. There are too many security risks with free versions of these tools. Not enough copyright or privacy protections of data.31%

No, but.... - You must have good security and privacy policies in place for ChatGPT (and other GenAI apps). My organization has policies and meaningful ways to enforce those policies and procedures for staff.52%

No - Bans simply don't work. Even without policies, this action hurts innovation and sends the wrong message to staff and the world about our organization.13%

I'm not sure. This action by Maine makes me think. Let me get back to you in a few weeks (or months).3%


9.4k views9 Upvotes1 Comment

Chief Data Officer in Travel and Hospitality, Self-employed
Data & Analytics
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3k views1 Upvote6 Comments