Out of following technologies, which are the ones do you use at your organization for data engineering pipelines?

Data & Analytics Business Intelligence Network +6 more

Azure Data Factory26%

Azure Data Bricks34%

Azure Data Lake42%

Azure Cosmos DB19%

Azure Blob Storage22%

Azure Synapse Analytics16%

Azure HDInsight8%

Azure SQL / SQL Server23%

Azure Service Bus10%

Amazon Redshift17%

Amazon S326%

Amazon EMR6%

Amazon RDS19%

Amazon Lake formation10%

Amazon Glue DataBrew6%

Amazon SNS9%

GCP BigQuery8%

GCP BigTable5%

GCP Cloud Data prep4%

GCP Cloud Data flow7%

GCP Cloud Storage8%

GCP Cloud SQL6%

GCP Cloud Pub/Sub2%

182 PARTICIPANTS

2k views3 Upvotes1 Comment

Associate VP - Digital Technologies in Software, 501 - 1,000 employees

At 28 votes, it seems like Azure Data Lake is being widely used. It is the leading tech (43%) followed by Azure Data Bricks. Let's see how the picture changes when there is more participation.

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Which components of the Oracle Database environment do you plan to move to the cloud? (Select all that apply)

Cloud Applications & Platforms Data & Analytics +7 more

Production45%

Backup65%

Replication33%

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

217 PARTICIPANTS

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

People & Leadership Strategy & Architecture Cloud +57 more

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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Are short term bans of the use of GenAI applications and tools (such as ChatGPT) a good idea for end users in most organizations? For context see this article on the State of Maine Government's directive before you vote: https://www.govtech.com/artificial-intelligence/chatgpt-generative-ai-gets-6-month-ban-in-maine-government

Applications & Platforms End-User Services & Collaboration People & Leadership +4 more

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%

357 PARTICIPANTS

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Have you been able to successfully integrate AI/ML into your enterprise search? What were your greatest challenges or failures in doing so?

Strategy & Architecture End-User Services & Collaboration Applications & Platforms +25 more

Director of Other in Software, 501 - 1,000 employees

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What services matter most (or are your favorite) in alignment with your cloud provider? i.e. Database/warehouse (like Redshift), analytics, AI/ML…

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Director of IT in Healthcare and Biotech, 501 - 1,000 employees

Overall fit of the provider's services is key in any recommendation when selecting one of the big 3 clouds for any organization. Multi-cloud is significantly more difficult than most companies realize, and selecting a ...read more

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