Peer-Driven Insights

Database

About this topic

Database refers to a large collection of information or data that is organized for storage and retrieval for a variety of uses.

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NC Dept of Health & Human Services

Government, 10k+

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KBC Group

Finance (non-banking), 10k+

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Community Posts

We are inundated with discussions on new AI tools and other innovations, how much has it affected your internal strategy and planning processes? Particularly when it comes to digital transformation already in place?

Very positive19%

Some positive61%

No affect16%

Some negative2%

Very Negative

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Do folks think the impact of the social media addiction cases in the state court JCCP and MDL N.D. California will be far and wide, seeping into insurance industry changes as well as technological, or will Section 230 save the day once more for platforms?

The case will settle; zero to minimal impact70%

Yes! But effects and repercussions are unknown30%

Does your CRM's customer data include their history (phone, email, address etc)?

What tool(s) are you using for SQL Server Database Monitoring (besides just SSMS)? Specifically, I am wanting the following features:
- Alerting with possibility of sending a ticket to Service Now
- Deadlock alerts
- SSIS Job Failures
- Query Optimization Recommendations
- SQL Server Optimization Recommendations
- Point in time report to see what was being ran during a certain period of time
- Other features?

Which tech conference do you intend to attend in person next year or have already participated in this year, and what motivated your choice?

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With Wiz adding ”DSPM” or rather data classification, do you see there being much need for DSPM on top of CSPM? I feel like the DLP and Detection and Response are way more important than CSPM checks, but is that just me?

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What have been your experiences with using OData with Java and/or .Net?

How are you approaching the journey to increase data maturity within your organization? Could you share the key steps or frameworks you've implemented to scale data capabilities, improve data governance, and foster a data-driven culture across departments? What have been the most significant challenges you've faced, particularly in aligning data strategy with business goals, securing executive buy-in, or overcoming technical limitations? How do you ensure continuous progress in areas like data literacy, quality, and analytics innovation?

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What activities do you do to measure the value of sending your team to training?

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Does anyone have some proven successful experience with using either in-house-built or off-the-shelf Test Data Management processes and tools? As we are looking to mature our SDLC - we are focusing on shortening our lead time for delivery. We are at the point where we recognized the value proposition in this area, and investigating and identifying some of our next experiments related.

The use of the lake in the cloud has impacted an increase in cloud costs. I'm considering doing a TCO study to bring some workloads to our datacenter in house. Has anyone gone through or is going through this challenge?

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We are in the middle of a modernization process of our monolith core application (banking) that is based on Informix and aiming to replace 4GL codes with Java, and create a multi tier architecture at the same time. For peers who have successfully migrated from Informix database, what was your strategy (port, transform, rewrite, replace)? How did you get rid of your 4GL codes (we have 1+ million lines) Have you used any tool to transform your 4GL codes to your targeted programming language? How did you avoid completely rewriting your legacy application from scratch?

What has your experience been when reviewing 3rd party vendor innovation/solutions, not just the pitch (which I am sure was mind blowing) but actually looking under the hood at the tech: For the most part, has it been:

Better than expected12%

Exactly as expected61%

Not as good as expected26%

Nothing but vaporware1%

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We are currently looking for a company based in Germany that specializes in performing a comprehensive database audit. The audit should primarily focus on redundancy, stability, and the overall infrastructure architecture of our mixed database landscape. The technologies involved include Microsoft SQL, Oracle SQL, PostgreSQL, and IBM DB2. If you have any recommendations or suggestions for companies that can effectively perform this audit for all the listed technologies, we would greatly appreciate your input.

What are your thoughts on MIT Researchers’ developed new method that uses Artificial Intelligence to Automate the Explanation of Complex Neural Networks? Will this bridge the gap of the transparency, explainability and contestability (TEC) in GenAI, thus improving adoption?

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Microsoft sent us a notice that we went over our storage capacity for Dynamics 365 and is trying to charge us overages, projecting through the rest of the term of our agreement. They are saying we need to pay them $1m+ within a week to hit the end of their fiscal year. We looked through our contract and could not find anything in there that talked about storage costs, capacities or any overages. Has this happened to anyone else? Not sure what recourse we have but it feels like they're trying to strong arm us to pump up their numbers.