The Triad of Forgotten Data Fundamentals - Performance, Security, & Resilience
Details
Ready to strengthen the foundations that keep your data environment fast, secure, and always available? This session highlights three essential pillars that are too often ignored until problems appear: performance, security, and high availability - disaster recovery. It explains why teams frequently overlook them, the hidden risks that arise when they do, and how organizations can shift from reactive firefighting to proactive resilience.
Attendees will gain practical, real-world strategies to embed these essentials into daily workflows, including optimizing queries, enforcing strong security practices, and planning plus testing disaster recovery capabilities. Through real examples and clear takeaways, participants will leave with a solid framework to safeguard their data and ensure systems remain fast, secure, and reliable even under pressure.
🔹 Level: Intermediate
🔹 Date-Time: Thursday, Jan 15 · 12:00 PM EST
🔹 Registration Linke: https://www.eventbrite.com/e/1977176547277
🔹 Speaker: Ed Pollack - Data Architect | Microsoft Data Platform MVP | Author | Speaker | Event Organizer. Contact: 👉 LinkedIn
🔹 Moderator: Ronen Ariely - 🌐 Sr. Consultant & Data Architect | 🎤 Intl. Speaker & Lecturer | 🏆 7x Former MVP | 🌍 Lead: Data Driven Community & GlobalHebrew | 💾 Data Platforms Expert. Contact: 👉 LinkedIn 👉 Facebook
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# 📌Data Driven Community & Cloud Data-Driven user group
The Cloud Data-Driven User Group is the official user group of the Data-Driven Community, hosting weekly meetings as part of our community-driven activities. For a full list of upcoming events and more details about our community, visit: https://datadrivencommunity.com
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AI summary
By Meetup
Practical session for database developers and analytics teams on performance, security, and high availability. Outcome: a reusable DR/HA framework.
AI summary
By Meetup
Practical session for database developers and analytics teams on performance, security, and high availability. Outcome: a reusable DR/HA framework.
