Added NWDS 2025 webpage

events/database_day/2025/database_day_2025.markdown

@@ -0,0 +1,122 @@
+---
+layout: page
+title: "NWDS Annual Meeting 2025"
+group: "navigation"
+id: "database_day_2025"
+---
+
+# NWDS Annual Meeting 2025
+
+### **Where**:
+
+[Bill & Melinda Gates Center For Computer Science & Engineering](https://www.washington.edu/maps/#!/cse2)
+
+Zillow Conference Center
+
+University of Washington
+
+3800 E Stevens Way NE
+
+Seattle, WA 98195
+
+[Parking information](https://facilities.uw.edu/transportation/park)
+
+Wifi will be available to participants.
+
+### **When**:
+
+Friday, February 7th, 8:00am - 4:30pm.
+
+### **Description**:
+
+The Northwest Database Society Annual Meeting brings together researchers and practitioners from the greater Pacific Northwest for a day of technical talks and networking on the broad topic of data management systems.
+
+### **Invited Talk 1: "The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution," Stephanie Wang (UW CSE)**
+
+Details will be added shortly
+
+### **Invited Talk 2: "Scalable OLTP in the Cloud: What's the BIG DEAL?," Pat Helland**
+
+> The pursuit of scalable OLTP systems has been the holy grail of my career. Because OLTP systems are typically split into applications and databases, the isolation semantics provided by the DB and used by the app have a major impact on the scalability of the OLTP system as a whole. The isolation semantics are a BIG DEAL!
+>
+> This thought experiment explores the asymptotic limits to scale for OLTP systems. An OLTP (OnLine Transaction Processing) system is a domain-specific application using a RCSI (READ COMMITTED SNAPSHOT ISOLATION) SQL database to provide transactions across many concurrent users. This interface provides the contractual BIG DEAL between OLTP databases and OLTP applications.
+>
+> Focusing on the BIG DEAL, shows today’s popular databases unnecessarily limit scale. Similarly, we identify common app patterns that inhibit scale. We can reimagine the way we build both databases and applications to empower scale. All while complying with the established SQL and RCSI interface (i.e., the BIG DEAL).
+>
+> Perhaps, this can provoke discussions within the database community leading to new opportunities for OLTP systems. To me, that would be a big deal!
+>
+> This talk covers the content in my CIDR 2024 paper "Scalable OLTP in the Cloud: What's the BIG DEAL?".
+
+<div class="flex-container people image-container">
+    <div class="flex-item person">
+        <a href=''>
+            <img src="pictures/Pat-Cariacture.jpg"/>
+            <p>Pat Helland</p>
+        </a>
+    </div>
+    <div class="flex-item" style="width: 80%;padding-left: 10px">
+    Pat Helland has been building distributed systems and databases since 1978 at companies including Tandem, Microsoft, and Amazon.  He is constantly curious about emerging trends in technology and their implications on systems.  He loves writing papers that challenge prevailing beliefs.  Pat has been working on database technology at Salesforce since 2012.
+    </div>
+</div>
+### **Agenda**:
+
+**&nbsp;&nbsp;8:30 am&emsp;** COFFEE/TEA with Fruits/Pastries
+
+**&nbsp;&nbsp;9:00 am&emsp;** Invited Talk 1 (30 min + questions): [The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution](), Stephanie Wang (UW CSE)
+
+**9:45 am&emsp;** Short Talks (4 talks @ 15 min each): Session 1 - Vector Databases
+
+* [Vector Search for Retrieval](), Bailu Ding (Microsoft Research)
+* [Intelligent index selection for Vector Databases](), Artur Borycki (Teradata)
+* [Supporting Vector Search in Relational Databases for Advanced RAGs](), Jianguo Wang (Purdue University)
+* [Scalable Indexing and Text/Vector Search Infrastructure in BigQuery](), Omid Fatemieh (Google)
+
+**10:45 am&emsp;** BREAK
+
+**11:15 am&emsp;** Panel - Graph Data Management (Chaired by Leilani Battle)
+
+**12:15 pm&emsp;** Lunch with posters
+
+**&nbsp;&nbsp;1:30 pm&emsp;** Invited Talk 2 (30 min + questions): [Scalable OLTP in the Cloud: What's the BIG DEAL?](), Pat Helland (Salesforce)
+
+**&nbsp;&nbsp;2:15 pm&emsp;** Short Talks (4 talks @ 15 min each): Session 2 - DB+LLMs
+
+* [Post-train LLMs for higher factuality](), Luna Dong (Meta)
+* [Vortex: Combined Storage and Runtime for RAG LLM systems](), Ken Birman (Cornell University)
+* [Multi-Agent Query Processing](), Arash Termehchy (Oregon State University)
+* [GenAI in BigQuery ML: What's New and Exciting?](), Xi Cheng (Google)
+
+**&nbsp;&nbsp;3:15 pm&emsp;** BREAK
+
+**&nbsp;&nbsp;3:45 pm&emsp;** Short Talks (3 talks @ 15 min each): Session 3 - Potpourri
+
+* [Innovations in AWS Analytics](), Sudipto Das (AWS)
+* [DDS: DPU-optimized Disaggregated Storage](), Phil Bernstein (Microsoft Research)
+* [Test Database Generation for Text-to-SQL Evaluation and Beyond](), Zhengjie Miao (Simon Fraser University)
+
+**&nbsp;&nbsp;4:30 pm&emsp;** EVENT ENDS
+
+### **Accommodations**:
+
+Details will be added shortly
+
+### **Contact Information**:
+
+[Prof. Leilani Battle](https://homes.cs.washington.edu/~leibatt/bio.html)
+
+[Prof. Magdalena Balazinska](https://www.cs.washington.edu/people/faculty/magda)
+
+[Prof. Dan Suciu](https://homes.cs.washington.edu/~suciu/)
+
+### **Sponsors**:
+
+We thank our partners for supporting this event.
+
+* Amazon
+* Google
+* Microsoft
+* MotherDuck
+* Numbers Station
+* Snowflake
+* Teradata
+* Western Digital

events/events.markdown

@@ -19,6 +19,7 @@ Some videos of the research talks given by members of our group are available on
 - [2022](https://research.facebook.com/2022-northwest-database-society-annual-meeting/)
 - [2023](https://www.microsoft.com/en-us/research/event/northwest-database-society-nwds-annual-meeting-2023/)
 - [2024](https://sites.google.com/view/nwds-2024/home)
+- [2025]({{ site.baseurl }}/events/database_day/2025/database_day_2025.html)
 
 ## UWDB Affiliates Annual Workshop
 - [2017]({{ site.baseurl }}/events/workshop/2017/db_usability.html)