WATCH ON DEMAND

Supercharging Mainframe Modernization
Key Areas of Focus Include:

The rise of GenAI and how vector similarity search is critical to building solutions 

• Focused analysis on integrating retrieval methods with generative models to enhance response accuracy and relevance

• Best practices to properly model design patterns for vectors and LLMs

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MongoDB & GenAI-powered Apps
The agenda for this session will cover:

• Our View Of GenAI For Data-Driven Apps (for operational rather than analytical use cases)

• MongoDB Atlas With GenAI

• Customer Examples

• Q&A

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Time Series

Time series collections efficiently store sequences of measurements over a period of time. Time series data is any data that is collected over time and is uniquely identified by one or more unchanging parameters. The unchanging parameters that identify your time series data is generally your data source's metadata.

Compared to normal collections, storing time series data in time series collections improves query efficiency and reduces the disk usage for time series data and secondary indexes.

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Search | Analytical - Atlas Search

Join us for an insightful session on Atlas Search, the powerful full-text search feature integrated into MongoDB Atlas. Built on Apache Lucene, Atlas Search provides a seamless and scalable solution for developing relevance-based application features without the need for a separate search system.

The last 30 minutes of this session includes an office hour segment for any queries and discussions related to MongoDB.

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MongoDB Certification Launch

As you go through the self-paced Developer or DBA learning path you might have questions. This session is available to drop in and ask your questions, observe what questions your colleagues are asking and to share your own expertise.

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MongoDB Certification - Exam Preparation

This session will help those who are going to sit the Developer or DBA associate exam prepare.

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Unlocking the Power of GenAI with MongoDB Atlas Vector Search: A Deep Dive for Morgan Stanley Teams

In the ever-evolving landscape of financial services, the need for agility and real-time data has never been more crucial. Investment banks, often anchored by legacy mainframe systems, are embracing a paradigm shift towards modernization to meet the demands of today’s dynamic market. Join us for a session to discuss about Mainframe Modernization approaches and how to leverage MongoDB’s cutting-edge Developer’s Data Platform to achieve a transformative journey.

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Data Modeling and Design Patterns

In the ever-evolving landscape of financial services, the need for agility and real-time data has never been more crucial. Investment banks, often anchored by legacy mainframe systems, are embracing a paradigm shift towards modernization to meet the demands of today’s dynamic market. Join us for a session to discuss about Mainframe Modernization approaches and how to leverage MongoDB’s cutting-edge Developer’s Data Platform to achieve a transformative journey.

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Fully Managed MongoDB - Performance Advisor

The Performance Advisor monitors any operation with a query predicate that MongoDB considers slow and suggests new indexes to improve query performance. For the selected host and time period, the Performance Advisor evaluates up to the 20,000 most recent slow queries found in the logs.

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Client-Side Field Level Encryption (CSFLE)

Client-Side Field Level Encryption (CSFLE) is a feature that enables you to encrypt data in your application before you send it over the network to MongoDB. With CSFLE enabled, no MongoDB product has access to your data in an unencrypted form.

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