AI Can Write Your Data Platform. Who’s Going to Keep It Running?
AI can write SQL, generate pipelines, build infrastructure, create database migrations, and even diagnose production problems. But what happens when it confidently does the wrong thing? As AI becomes part of how we build and operate modern data platforms, the key question is no longer just, “Can AI generate this?” It’s whether we can trust the result, deploy it safely, observe what happens, and recover when things go wrong. Join Hamish Watson for a practical session on bringing AI-assisted development into production reality. Drawing on experience across SQL Server, cloud platforms, Databricks, and database DevOps, Hamish will explore how version control, CI/CD, automated testing, drift detection, observability, and governance help keep AI-generated changes safe and recoverable. The session will include practical examples, lessons learned, and a live demo. And, because live demos rarely go exactly to plan, there may even be a surprise or two. AI might be able to write your data platform. The more important question is: who’s going to keep it running? Register for the session
Oracle Resiliency: Choosing the Right Data Protection Approach for Every Failure
October 1 | Register Now Oracle recovery requires more than a backup strategy. Accidental deletion, logical corruption, infrastructure failure, site loss, and ransomware demand different combinations of backup, snapshots, and replication. This session explains where each data protection layer does and doesn’t belong in an Oracle recovery architecture. Through practical failure scenarios, we’ll examine how to align RPO, RTO, retention, availability, and recovery-location requirements with the right recovery mechanism. You’ll also learn how to identify overlap, avoid common recovery gaps, and use storage automation to apply consistent protection policies across production, development, test, and DR environments. Session takeaways: Map Oracle failure scenarios to the appropriate data recovery mechanism. Identify protection overlap, operational complexity, and recovery gaps before an incident exposes them. Translate workload requirements into practical RPO, RTO, retention, availability, and recovery-location decisions. Register Now!Why Enterprises Still Need an Ontology
Data Under Pressure User Group Join us for a session with Argenis Fernandez, Distinguished Engineer at Nike, on Why Enterprises Still Need an Ontology. 📅 September 23, 2026 | 9:00 AM PST 🔗 Register: https://purestorage.zoom.us/webinar/register/WN_sK9Bkfz6QrmXxXKzLBzTCw#/registration What you'll get: Why talking the same language across your org matters A walk through the four-layer enterprise data stack A 4-cell rubric for evaluating your own ontology layer Don't miss this one if you're thinking about data architecture, governance, or how to get teams speaking a common language.Actionable Assessments: Prepare Your Infrastructure for Oracle 26ai
August 20 | Register Now As organizations adopt Oracle AI Database 26ai with capabilities like AI vector search, understanding whether their existing data infrastructure can support these new workloads becomes increasingly important, while keeping costs under control. Join us as we explore how to analyze peak workload concurrency, optimize storage redundancy, and map advanced feature dependencies. Attendees will walk away with an actionable framework for evaluating their own environment, including access to a complimentary, privacy-first Everpure readiness assessment to help automate the planning process. Key takeaways: See your true workload and capture a consolidated, hour-by-hour view of peak demand. Crush storage bloat and learn how real-world environments are safely shrinking their storage footprints. Learn how to align infrastructure for active features like TDE, HCC, and Smart Scan without over-buying hardware. Secure your assessment and get exact sizing recommendations. Register Now!
Navigating the Tsunami, Reshaping the Data Industry
August 18 | Register Now! For August 2026, host Andrew Miller invites Andy Yun to Coffee Break. As a DBA himself with a long career in the data + database field, Andy now talks to Everpure customers (or sometimes “future customers”) every day about data and database challenges and solutions. We’ll wander through: Andy’s history with key mentoring lessons (both those he has learned and has helped others with), the value of soft skills in a deeply technical role, and why a solution architect works at Everpure. Database & DBA landscape - simultaneously keeping up “business as usual” while adapting to the AI tsunami that’s here whether we like it or not. Andy’s top DBA & database tips on Everpure from chatting with DBAs and customers every day. What’s new in the data landscape at Everpure - everything from an Oracle 26ai readiness assessment, to mind-blowing SQL backup throughput numbers, to how recent Everpure acquisitions impact you. Register Now!The Future of Intelligent Data Platforms: AI-Powered Search in SQL Server 2025
July 23 | Register Now! Semantic search allows applications to find relevant information based on meaning, rather than exact words. In this session, we'll look at how SQL Server 2025 implements this technology using native vector support and demonstrate how it can be used to build intelligent search experiences. You’ll see practical examples for generating, storing, and querying vectors, plus guidance on evaluation and performance trade-offs. Attendees will leave with an actionable plan to pilot semantic search and measure impact in their environment. Here is what to expect: Understand how vector search differs from keyword search Generate and store embeddings in a repeatable workflow Perform semantic searches using SQL Server's vector capabilities Evaluate performance impacts of vector indexes Register Now!See It Before It Happens: Predict and Fix Infra Issues Early
June 25 | Register Now! Database and infrastructure teams often struggle to predict how changes will affect application real-world performance, capacity, and service levels. Without clear visibility into where applications are running and how they consume resources, even small adjustments can introduce unexpected latency, IOPS bottlenecks, or capacity shortfalls, making troubleshooting slower and increasing the risk of missing SLAs. Join us and learn how to: Use scaling simulations to predict impacts on latency, IOPS, and capacity before changes are made. Apply data intelligence to identify where applications are running and how they consume resources. Improve performance planning and reduce troubleshooting time while maintaining stronger adherence to SLAs. Register Now!
SQL Server on Kubernetes - Faster, Safer Database Operations
April 16 | Register Now! Running SQL Server in containers can speed up provisioning and customization. But standalone containers lack the high availability and data services that enterprises require, making Kubernetes essential for resilient environments. Portworx® by Everpure extends Kubernetes with enterprise-grade data services—such as volume cloning—to reliably run stateful workloads like SQL Server and simplify database lifecycle management. In this session, we’ll demonstrate how to modernize SQL Server while improving resilience, flexibility, and operational efficiency. Key Takeaways How to deploy and operate SQL Server on Kubernetes with built‑in resilience and scalability How to migrate SQL Server from Windows-based environments and explore KubeVirt as an additional deployment option How Portworx data services simplify SQL Server database management, testing, and recovery Register NowUnlock AI Capabilities: Best Practices for Risk-Free Oracle 26ai Upgrades
April 16 | Register Now! Upgrading to Oracle AI Database 26ai with AutoUpgrade simplifies the database process. Yet many teams can struggle with the storage infrastructure risk from performance variability, downtime and operational complexity during the transition. This session explores how to remove this infrastructure friction from Oracle 19c to 26ai upgrades by leveraging non-disruptive storage operations, snapshot-based rollback, and consistent performance at scale. Learn how to: Upgrade to Oracle 26ai using infrastructure best practices Align to a unified data platform Provide a stable foundation for AI-enabled workloads Register Now!
