À PROPOS DE CE PODCAST 🔗
Trusted Data Summit - Powered by Datagaps, founded in 2010, specializes in data testing automation solutions that build trust in enterprise data and analytics. Our offerings include tools for Data Validation, ETL Testing Automation, Data Reconciliation, Data Quality Testing, BI Test Automation, and Test Data Generation.
We cater to various data warehousing projects and BI platforms, like Snowflake, Databricks, Amazon Redshift, Oracle Analytics, Tableau, and Microsoft Power BI.
Our products and solutions aim to achieve 100% Data Quality and Data Testing Automation.
We cater to various data warehousing projects and BI platforms, like Snowflake, Databricks, Amazon Redshift, Oracle Analytics, Tableau, and Microsoft Power BI.
Our products and solutions aim to achieve 100% Data Quality and Data Testing Automation.
Durée audio moyenne:
29 minutes
Podcast vidéo
Anglais
États-Unis
12 épisodes
depuis 20 novembre 2025
episodic
DERNIER ÉPISODE 🔗
That’s a wrap on Trusted Data Summit 2025!Anand Rao (VP of Products & Marketing, Datagaps) closes the summit with a powerful recap of the day’s biggest ideas and a clear call to action: move from reactive data fixes → proactive, agentic trust at enterprise scale.Theme of TDS 2025: Proactive Tru…
RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de Trusted Data Summit 2025.
ÉPISODES PRÉCÉDENTS 🔗
Traditional data validation is dead.Harsh Rajgoite (10+ years in data engineering) shows why modern enterprises are replacing reactive testing with full-spectrum Data Observability built on the 5 pillars: Freshness, Volume, Schema, Lineage, and Quality.This session is your complete playbook for eli…
Bad data isn’t just an IT problem – it’s a multi-million-dollar business killer hiding in plain sight.Sowjanya Bobbadi (Director of Business Analytics & Client Partner at iLink Digital) reveals the shocking real-world costs of manual BI validation and why full BI automation has become non-negot…
NYU's 6-Year Data Quality Journey with Datagaps - Trusted Data Summit 2025How does one of the world’s largest private universities (NYU) maintain data trust across 1000s of complex ETL pipelines serving students, faculty, research, finance, and administration?
Sreelatha Nayar (Senior Database Engin…
Raju B. Rajuladevi, (VP & Head of Technical Delivery – Data Analytics & AI at Stravi) presents a powerful, completely vendor-neutral framework that embeds QA and QC across the entire modern data lifecycle – from source to dashboard to continuous monitoring.
This is the same battle-tested ar…
How We Automated Power BI Testing at Scale - Trusted Data Summit 2025Real customer story from ZS Associates (global healthcare consulting leader) on how they went from painful manual Power BI validation → fully automated, enterprise-scale testing with Datagaps BI Validator in just one year.Biswadee…
Non-production environments are now the #1 compliance blind spot – and regulators are hitting companies with $80M+ fines for breaches originating in dev/test systems.
Pradeep Dhonipuri | Datagaps reveals the exact strategies global enterprises are using to eliminate real customer data from lower en…
In an era where AI failures make headlines, how do enterprises actually build compliant, safe, and explainable AI in production?
Thadi Murali (ex-BNY Mellon, Wells Fargo, Deloitte) – Operational AI, Data & Technology Risk Executive with 20+ years – delivers a battle-tested, data-centric compli…
Abhishek Waghle, Assistant VP – Quality & Performance at CitiusTech Healthcare, shows how leading organizations are evolving BI from pretty charts → embedded, real-time, AI-powered insights that directly drive measurable business outcomes.
Key takeaways from this game-changing session:🔹 Why m…
Jatin Molri, Sr. VP of Sales at Testingxperts shares real-world results from deploying Agentic AI inside agile data teams – and the dramatic impact on speed, quality, and cost.
Key takeaways from this must-watch session:
The evolution from Waterfall → Agile → Agentic DataOps
Real metrics: 20-25…
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de Datagaps, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
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