In this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications more powerful. See demos showcasing how easily you can implement semantic search, build chatbots, and execute ML predictions within Amazon DocumentDB.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Amazon DocumentDB (with MongoDB compatibility) is a serverless, fully managed, MongoDB API-compatible document database service. In this session, deep dive into the most exciting new features Amazon DocumentDB offers including Serverless, columnar read replicas, performance upgrades, and DocumentDB 8.0 [TBC]. Learn how the implementation of these features in your organization can improve resilience, performance, and the effectiveness of your applications.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

DocumentDB, the open-source MongoDB-compatible document database now part of the Linux Foundation, helps you innovate faster and save more. Customers like Kraft Heinz move fast with a JSON-native model, reduce ops with turnkey scaling and updates, and secure workloads with enterprise-grade protection and an E2E Azure SLA. Delivered as a fully managed service with support for hybrid and multicloud, Azure DocumentDB keeps you moving faster while crushing costs at enterprise scale.

Unity Catalog puts variety of schemas into a centralized repository, now the developer community wants more productivity and automation for schema inference, translation, evolution and optimization especially for the scenarios of ingestion and reverse-ETL with more code generations.Coinbase Data Platform attempts to pave a path with "Schemaster" to interact with data catalog with the (proposed) metadata model to make schema translation and evolution more manageable across some of the popular systems, such as Delta, Iceberg, Snowflake, Kafka, MongoDB, DynamoDB, Postgres...This Lighting Talk covers 4 areas: The complexity and caveats of schema differences among The proposed field-level metadata model, and 2 translation patterns: point-to-point vs hub-and-spoke Why Data Profiling be augmented to enhance schema understanding and translation Integrate it with Ingestion & Reverse-ETL in a Databricks-oriented eco system Takeaway: standardize schema lineage & translation

This session is repeated.In this session, you will learn how to integrate Lakeflow Declarative Pipelines with external systems in order to ingest and send data virtually anywhere. Lakeflow Declarative Pipelines is most often used in ingestion and ETL into the Lakehouse. New Lakeflow Declarative Pipelines capabilities like the Lakeflow Declarative Pipelines Sinks API and added support for Python Data Source and ForEachBatch have opened up Lakeflow Declarative Pipelines to support almost any integration. This includes popular Apache Spark™ integrations like JDBC, Kafka, External and managed Delta tables, Azure CosmosDB, MongoDB and more.

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. In this session, take a deep dive into the most exciting new features Amazon DocumentDB offers including global cluster failover, global cluster switchover, compression, and the latest query APIs. Learn how the implementation of these features in your organization can improve resilience, performance, and the effectiveness of your applications.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

In this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications more powerful. See demos showcasing how easily you can implement semantic search, build chatbots, and execute ML predictions within Amazon DocumentDB.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Microsoft is making significant investments in relational and NoSQL open-source databases. Learn about Azure Database for PostgreSQL, Azure Database for MySQL, Azure Cosmos DB for MongoDB, with new enterprise-ready features to support daily business operations. See new migration capabilities as well as Microsoft's new contributions to the open-source community, including DiskANN, a PostgreSQL extension for Azure OpenAI Service, and much more.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Aditi Gupta * AVIJIT GUPTA * Dingding Lu * Prasanth Tammiraju

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK207 | English (US) | Data

MSIgnite

"Peter Farkas unveils a game-changing solution in 'Moving MongoDB Workloads to Postgres with FerretDB.' 🔄 Learn how to seamlessly transition MongoDB workloads to Postgres without application-level changes, and ensure a smooth user experience with familiar tools and frameworks. 📦🐘 #MongoDB #Postgres #FerretDB"

✨ H I G H L I G H T S ✨

🙌 A huge shoutout to all the incredible participants who made Big Data Conference Europe 2023 in Vilnius, Lithuania, from November 21-24, an absolute triumph! 🎉 Your attendance and active participation were instrumental in making this event so special. 🌍

Don't forget to check out the session recordings from the conference to relive the valuable insights and knowledge shared! 📽️

Once again, THANK YOU for playing a pivotal role in the success of Big Data Conference Europe 2023. 🚀 See you next year for another unforgettable conference! 📅 #BigDataConference #SeeYouNextYear

In the digital economy, application-driven intelligence delivered against live, real-time data will become a core capability of successful enterprises. It has the potential to improve the experience that you provide to your customers and deepen their engagement. But to make application-driven intelligence a reality, you can no longer rely only on copying live application data out of operational systems into analytics stores. Rather, it takes the unique real-time application-serving layer of a MongoDB database combined with the scale and real-time capabilities of a Databricks Lakehouse to automate and operationalize complex and AI-enhanced applications at scale.

In this session, we will show how it can be seamless for developers and data scientists to automate decisioning and actions on fresh application data and we'll deliver a practical demonstration on how operational data can be integrated in real time to run complex machine learning pipelines.

Talk by: Mat Keep and Ashwin Gangadhar

Here’s more to explore: Why the Data Lakehouse Is Your next Data Warehouse: https://dbricks.co/3Pt5unq Lakehouse Fundamentals Training: https://dbricks.co/44ancQs

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Delta Lake is an open source project that helps implement modern data lake architectures commonly built on cloud storages. With Delta Lake, you can achieve ACID transactions, time travel queries, CDC, and other common use cases on the cloud.

There are a lot of use cases of Delta tables on AWS. AWS has invested a lot in this technology, and now Delta Lake is available with multiple AWS services, such as AWS Glue Spark jobs, Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. With AWS Glue, you can easily ingest data from multiple data sources such as on-prem databases, Amazon RDS, DynamoDB, MongoDB into Delta Lake on Amazon S3 even without expertise in coding.

This session will demonstrate how to get started with processing Delta Lake tables on Amazon S3 using AWS Glue, and querying from Amazon Athena, and Amazon Redshift. The session also covers recent AWS service updates related to Delta Lake.

Talk by: Noritaka Sekiyama and Akira Ajisaka

Here’s more to explore: Why the Data Lakehouse Is Your next Data Warehouse: https://dbricks.co/3Pt5unq Lakehouse Fundamentals Training: https://dbricks.co/44ancQs

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

American Airlines champions operational excellence in airline operations to provide the most delightful experience to our customers with on-time flights and meticulously maintained aircraft. To modernize and scale technical operations with real-time, data-driven processes, we delivered a DataHub that connects data from multiple sources and delivers it to analytics engines and systems of engagement in real-time. This enables operational teams to use any kind of aircraft data from almost any source imaginable and turn it into meaningful and actionable insights with speed and ease. This empowers maintenance hubs to choose the best service and determine the most effective ways to utilize resources that can impact maintenance outcomes and costs. The end-product is a smooth and scalable operation that results in a better experience for travelers. In this session, you will learn how we combine an operational data store (MongoDB) and a fully managed streaming engine (Striim) to enable analytics teams using Databricks with real-time operational data.

Talk by: John Kutay and Ganesh Deivarayan

Here’s more to explore: Big Book of Data Engineering: 2nd Edition: https://dbricks.co/3XpPgNV The Data Team's Guide to the Databricks Lakehouse Platform: https://dbricks.co/46nuDpI

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin

ABOUT THE TALK: Wesley Faulkner explores the various types of communities and discusses how to determine the most suitable one for your company at various stages of growth. Whether you are looking to double down on your current community or expand to new platforms, Wesley provides the guidance you'll need to make informed decisions about building a strong and effective community.

ABOUT THE SPEAKER: Wesley Faulkner is a first-generation American, public speaker, and podcaster. He is a founding member of the government transparency group Open Austin and a staunch supporter of racial justice, workplace equity, and neurodiversity. His professional experience spans technology from AMD, Atlassian, Dell, IBM, and MongoDB.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

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In the era of AI-driven innovation, organizations need databases that are flexible and powerful while also being secure and scalable. This session explores how MongoDB empowers to rapidly build, deploy, and manage intelligent applications through the lens of a developer persona. Diving into our integrations with AI Foundry, Microsoft Sentinel, and Azure Landing Zones, we’ll showcase a complete developer journey—from prototype to production—while ensuring security, and operational excellence.