Systems | Development | Analytics | API | Testing

yellowfin

On-Prem and Private Cloud Deployment Models for Analytics

Apr 22, 2026 By Hagop Panosian In Yellowfin
Leadership keeps asking for more dashboards, faster answers, and tighter compliance. The data team hears a different message: do more with the same staff (or, fewer). That is where the difficulty evaluating on-prem and private cloud deployment models for corporate data analytics and visualization solutions starts to bite.
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perforce

How Redundant Data Storage May Be Hurting Both Your Bottom Line and the Environment

Apr 22, 2026 By Perforce In Perforce
Unaccounted data copies within non-production environments can make enterprises vulnerable to cyber theft. Non-production environments — which are often less secure than production environments — are treasure troves for hackers seeking to steal customer data. How many copies of test data are currently floating around your organization’s non-production environments?
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thoughtspot

Why Enterprise AI Can Get the Query Right and the Answer Wrong

Apr 22, 2026 By Antonio Scaramuzzino In ThoughtSpot
Most teams deploying AI agents on their data are watching the wrong things. They check whether the query ran and whether the number looks plausible. When both checks pass, the agent gets credit for a correct answer, and the output flows into dashboards, decisions, and the next agent in the chain. There's a gap between those two checks and actual correctness, and it's where the expensive mistakes live. Getting to a correct answer requires more than a formally valid calculation.
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IBM Vault Alternatives to Consider in 2026

IBM Vault Alternatives to Consider in 2026

Apr 22, 2026 By SystemsDigest In SystemsDigest
HashiCorp Vault (now also referred to as IBM Vault or IBM HCP Vault) has been a default secrets management choice in engineering-heavy organizations for nearly a decade. However IBM's acquisition of HashiCorp has prompted a wave of reassessment and led to consideration of other tools like SplitSecure which are likely more cost effective for most orgs. . IBM has a mixed record of supporting acquired products over the long term. Roadmap direction, licensing changes, and support responsiveness are all open questions for customers planning multi-year deployments.
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thoughtspot

SpotDevOps: Building an AI-Native SDLC Platform at ThoughtSpot

Apr 21, 2026 By Ashok Anand In ThoughtSpot
4,096 Tasks completed 89.8% success rate 302 Active users 4× growth Jan→Mar 86 Agents deployed 73 built by engineers 72 days In production 15,896 messages Modern engineering teams face a familiar paradox: the bigger the system, the more time engineers spend managing the work rather than doing it. Bugs pile up faster than they can be triaged. PRs wait days for review. On-call engineers spend hours reproducing what someone already debugged six months ago.
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integrate

How to Diagnose and Prevent HIPAA Compliance Failures in Healthcare Data Transformation

Apr 21, 2026 By Donal Tobin In Integrate
Most healthcare data compliance failures do not start with a breach. They start with a pipeline. A transformation job that ran without audit logging. A PHI masking step that failed silently on a subset of records. A patient identity matching operation that merged two records that should not have been merged. An ETL pipeline that was modified to add a new data source without anyone assessing the HIPAA implications of that change.
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integrate

The Best Data Transformation Software for Healthcare Analytics

Apr 21, 2026 By Donal Tobin In Integrate
Choosing data transformation software for healthcare analytics is categorically different from choosing it for any other industry. The evaluation criteria that matter most in a retail or SaaS context, such as connector breadth, transformation speed, and pricing tier, are necessary but insufficient in healthcare. Every tool on your shortlist needs to answer a harder set of questions first: Can it sign a Business Associate Agreement? Does it encrypt PHI at every layer of the pipeline, not just at rest?
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integrate

Top Cloud Data Transformation Solutions With Strong Governance Controls

Apr 21, 2026 By Donal Tobin In Integrate
When data and analytics leaders evaluate cloud data transformation platforms, the conversation usually starts with connectivity, how many source connectors does it have, does it support our data warehouse, can it handle our data volumes. Governance controls tend to come up later, often after a compliance incident, an audit finding, or a data quality failure that traces back to a pipeline no one could fully explain.
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