On Demand

In this inspirational chat, Bill Cook, CEO of Yugabyte, discusses Wells Fargo’s modernization journey with Saul Van Beurden, Head of Technology at Wells Fargo. The two share powerful stories and advice that any technology leader can use to drive change throughout an organization—from the technology to the people to the processes.

Whether a financial services company like Fiserv or a company in a different industry, the need to evolve to a data-centric organization seems to be a challenge we all face.

Join us in this session to hear from Tom Eck, Senior Vice President and Distinguished Engineer at Fiserv, to discuss the impact that the growing importance of data has had on their business and how it is influencing their decisions around database modernization. In addition, we’ll explore what it takes to become cloud native and the important role the database plays in aligning to cloud and app modernization initiatives.

As a multinational company with services available around the world, Charles Schwab’s core offerings include extensive banking offerings, investing and related services, and wealth management advisory services to retail and institutional clients. As those services grow and customer expectations continue to rise, Charles Schwab embracing modern technology to increase customer value.

Join us for this conversation with David Loomis, Vice President of Operations and Cloud Platforms at Charles Schwab, to explore how changes in the industry have accelerated first their application modernization journey and then more recently their database strategy. You’ll hear from an industry leader on the core technologies they feel are essential to a modern IT stack and what are those capabilities that are most important to them.

As a leading financial services company that has embraced technology, Wells Fargo requires a resilient, secure, scalable and high performance data platform to deliver an exceptional customer experience. Wells Fargo is on a journey to deliver even more innovation and offer more and more valuable services that rely on consistent, globally accessible data.

In this session, Nathaniel Drehmel, Principal Engineer of Database Strategy and Innovation at Wells Fargo, discusses the top data requirements of the bank ,and examines how and why they chose a distributed SQL database for their data stack.

Kroger is on a mission to evolve their technology stack to meet the transformational needs of the business and become a true omni-channel retailer in the food/grocery space. Their transformation journey spans cloud native microservices platforms, to public clouds, to a distributed SQL database.

In this session, we’ll chat with Sriram Sam, VP of Customer Technology, to look back on their multi-year modernization journey, discuss key lessons learned, and examinet what’s next for the Kroger team.

Building a strong understanding and approach to the operational aspects of Distributed SQL is just as important as the technical capabilities, especially to a global leader like Fiserv. Join this discussion with Marc Hansen as he speaks with Karthik Ranganathan, CTO and Co-Founder of Yugabyte, about their journey in adopting YugabyteDB. He’ll share best practices and recommendations on how to approach the day 2 aspects of a Distributed SQL environment.

In large enterprises, the fact is that there is no one-size-fits-all database solution on the market. As we continue to see the velocity of new app creation accelerate and the variety of workloads increase, enterprises of all sizes need to provide choice and flexibility to their developers. Maybe no Fortune 100 company has done a better job of embracing the latest technologies and providing choice within their organization than Comcast.

In this session, we sit down with Amitkumar Patel, a Principal Architect at Comcast that leads a database platform team, to discuss their database journey. We’ll dig into why they have added distributed SQL as a key solution into their portfolio and how they are working with developers and business units to understand the value and identify the best database for a given application.

The future is uncertain where new and changing workloads are placing increasing demands on the critical underlying database. Join us for an exciting keynote with Karthik Ranganathan, CTO and Co-Founder of Yugabyte, where he’ll respond to advice coming to us from the future! Buckle up and join us for what will be a thrilling ride as we accelerate toward the future with Distributed SQL.

Distributed SQL Summit 2022 kicks off with a high-energy panel discussion to take a pulse of distributed SQL around the world with representatives from all three major regions in the world joining us. The session will touch on the state of distributed SQL and then prepare everyone for key topics and sessions that can’t be missed throughout the day.

Over the past year, the Yugabyte engineering team has been hard at work delivering new capabilities, features and innovations. Join Yugabyte product leaders for this key session, where they will review the latest features and updates in YugabyteDB. We’ll examine the overall momentum behind YugabyteDB and then break down the major focus areas for product development and all the new features and capabilities that are now available. The session will close with a quick preview of key features planned for the near future.

Are you new to databases and open source and want to know more?

In this DSS session, Yugabyte Director of Content, Rachel Pescador, talks through the evolution of open source, the differences between so-called open source licenses, how open source helps you avoid vendor lock-in, and YugabyteDB’s approach to open source.

She will also discuss why open source communities are important to the success of a project, and why you should get involved!

The data layer is the next frontier of modernization. But is Distributed SQL, NewSQL or something else altogether the best choice? Join this session to discover the fundamental differences between these databases. You’ll learn about the modern use cases that have forced a major evolution in the architecture and design of the data layer.

Imagine a world where any customer or employee can easily find, analyze, and use data without barriers or delays. That is the goal for many organizations as we shift into an increasingly data-centric world. Rahul Singh, CEO of Anant Corporation, refers to that ideal state as Enterprise Consciousness. For over a decade, he has been helping organizations find the right solution and tools to reach that vision. In this session, he’ll explore how the next major evolution in databases‚ Distributed SQL can get us closer to that goal.

Data is the lifeblood of modern businesses. So, you need to ensure your data is always available. One huge advantage is that distributed SQL databases are natively designed to spread data across clusters and provide built-in resiliency. In this session, you’ll discover how YugabyteDB provides enterprise scale and resilience via modern, cloud native architecture. We won’t just talk about it! You’ll see real-world demos using YugabyteDB Managed, which show how a Distributed SQL Database can simplify your lives and protect your business data.

YugabyteDB provides synchronous replication between three or more datacenters, but many use cases do not require that level of replication (and the additional cost of managing numerous clusters and data centers). In this session, we’ll deep dive into a key YugabyteDB differentiator: xCluster Replication. You’ll learn how asynchronous replication across two data centers can solve key use cases and arm with you greater flexibility when it comes to deployment architectures. The session will cover the latest features, what’s coming next, and how xCluster Replication acts as a powerful Disaster Recovery (DR) tool.

Lots of vendors talk about PostgreSQL compatibility, but what does that really mean? Is all PostgreSQL compatibility the same? In this session, we’ll answer those questions, and look at the advantages of reusing Postgres‚ native query layer, versus writing a new or partially-compatible PostgreSQL query layer. Discover the advanced Postgres features supported in YugabyteDB and learn why pessimistic locking is so important to developers building new apps or migrating existing apps written for classic PostgreSQL.

Optimizing your database performance can have a huge impact on your customers’ experience of using your app. Perfecting performance is often more of an art than a science. Join us to learn best practices for analyzing database performance and key tips and tricks for getting the best performance out of YugabyteDB. We’ll use a real-world application to show how our customers have improved their application performance.

Security is paramount when selecting a new database for mission-critical applications, and protecting your valuable data. YugabyteDB was built from the ground up with security in mind, which is why leading financial service companies and retailers trust YugabyteDB for key customer-facing applications. In this session, we’ll examine key YugabyteDB security features, including key rotation, encryption and third party integrations. We’ll also arm you with the answers to the common security questions your CISO and security teams will ask to give you the confidence to put YugabyteDB through your security team’s audit.

Data modeling is crucial when building a database. As distributed SQL databases continue to rise in popularity, best practices for data modeling have evolved to take full advantage of modern, distributed data layers. Join John Schulz, a seasoned solution engineer, as he shares insights learned from helping the world’s largest companies model their data for distributed SQL databases. You’ll learn distributed data modeling best practices for YSQL (Postgres) and YCQL (Cassandra) in YugabyteDB.

Simple user interfaces are great but to really reduce operational costs and complexity, automation is key. In this session, you’ll discover the key YugabyteDB APIs and capabilities to help you automate your YugabyteDB Managed and YugabyteDB Anywhere environments. Join us to find out how YugabyteDB connects with critical ecosystem tools, such as Terraform, to help you embrace Infrastructure as Code.

AWS Graviton processors are custom built by Amazon Web Services to deliver the best price performance for cloud workloads running in Amazon EC2. As a distributed database that seamlessly runs in AWS and focuses on delivering performance at global scale, YugabyteDB is a prime example of workloads well suited to take advantage of Amazon’s continued investment and innovation in Graviton.

In this joint session between AWS and Yugabyte, listen to technical leaders discuss these two technologies and more importantly examine the joint testing completed and how users can take advantage of running this joint solution.

Organizations continue to embrace the public cloud for their applications. However, migrating business-critical data to cloud native databases remains one of the biggest barriers to accelerating cloud adoption. YugabyteDB Voyager is Yugabyte’s latest product and was built from the ground up to accelerate database modernization and cloud adoption. Join us to learn how YugabyteDB Voyager can simplify your migration from legacy and cloud databases to YugabyteDB. This session will arm you with everything you need to know to get started on Voyager, and demonstrate the features that make moving apps and data easy.

Distributed databases provide built-in capabilities that automatically protect data against many common issues, but it’s still critical that enterprises establish a clear process for the backup and recovery of data. Join YugabyteDB experts Valentin Kulichenko and Alan Caldera as they discuss YugabyteDB’s architecture and provide lessons learned from helping leading companies build a backup strategy. Discover why having a backup and restore strategy is important, and discover the best practices for setting up backup and restore with YugabyteDB.

Deploying enterprise-class, global applications requires multiple moving parts. Having the right distributed database is a key first step on the journey to cloud native apps, but it’s critical to also be able to confidently integrate your database with the larger IT and app stack. Join Yogi, our expert YugabyteDB solution engineer, as he presents a reference design for building a globally scalable financial application using YugabyteDB and other cloud native technologies. He’ll explore key considerations when connecting YugabyteDB to IaaS, smart drivers, Kafka, Spring Data R2DBC, GraphQL (Hasura), IntelliJ, and cross-infrastructure connectivity (VPN and Submariner for K8s)

Change Data Capture (CDC) has become a powerful tool for developers across a wide range of use cases. YugabyteDB recently added support for CDC and is continuing to expand on its capabilities. In this session, we’ll examine the history of change data and discuss popular techniques used on the consumer side during the early Oracle and Sybase days. You’ll then learn different database file types, what this means in the modern distributed SQL world, and how YugabyteDB approaches the design of CDC.

As organizations move towards microservices and API/mobile based interactions, app side modernization is an important consideration. The biggest challenge is not app decomposition and deployment, but arises during data decomposition. In this session, Ananda Bose, Director Solution Engineering for North East & Canada at Confluent, will discuss best practices using YugabyteDB and Confluent to assist you in your data modernization journey. He’ll be joined by Amey Banarse, Yugabyte’s VP of Data Engineering, to share updates and plans from YugabyteDB.

There are many benefits to using a globally distributed SQL database. In this session, we will discuss how games such as MMOs, ARPGs, and FPSs, which attract players around the globe, can benefit from globally distributed databases applied on the public cloud. We will look at how YugabyteDB plus Tencent Cloud helps these games tackle future gaming trends such as metaverse and cloud gaming, as well as meeting globalization requirements.

As a distributed PostgreSQL-compatible database, YugabyteDB has a ton of similarities and a few differences when compared to open-source Postgres. YugabyteDB does behave and look like Postgres in runtime which allows you to reuse most optimization techniques you’ve already mastered with Postgres. At the same time, YugabyteDB is a distributed database that can store your data across multiple geographies and use thousands of CPUs distributed across hundreds of nodes which requires you to consider query tuning patterns specific to distributed systems.

The tuning of a SQL database for your workloads is an art on its own. First and foremost, you need to design your data model and overall application logic to ensure the database objects are stored and accessed efficiently. Inefficient data access, such as sequential scans of a growing table, can lead to hardware and other resource requirements that can grow astronomically in order to maintain adequate performance.

The infrastructure of major cloud providers and private data centers can span dozens of geographical regions. With this infrastructure, you can quickly design and build solutions that run across regions, countries, and continents for reliability, compliance, and performance.

Learn the language features of YCQL and discover the benefits of semi-relational data types, user-defined data types, built-in functions, secondary indexes, and query-driven data model design.

In this virtual training, you’ll first learn that Yugabyte Cloud Query Language (YCQL) is a Cassandra compatible API, using both Data Definition Language (DDL) and Data Manipulation Language (DML) to create tables and queries. Next, you’ll explore the benefits of query-driven data model design for YugabyteDB and YCQL. You’ll also learn how to test and tune a denormalized data model in order to perform at global scale. Students that successfully complete this training will be automatically enrolled in the related exam courses.

From PostgreSQL compatibility to row-level geo-partitioning, dive into the robust features of YSQL in this virtual training.

In this virtual training, you begin by learning that Yugabyte Structured Query Language (YSQL) is a fully-relational API with the highest degree of PostgreSQL compatibility. You’ll discover how YSQL supports both Data Definition Language (DDL) and Data Manipulation Language (DML) for PostgreSQL. Next, you’ll dive deeper into more advanced compatibility features including column constraints, indexes, views, expressions, operators, built-in functions, user-defined functions, and triggers. Finally, we’ll cover the more advanced features of YSQL, including table partitioning, tablespaces, and row-level geo-partitioning. Upon completion, students will be automatically enrolled in the related exam courses.

Learn how to install and administer a YugabyteDB cluster for on-premises, cloud, and Kubernetes deployments.

Bring your curiosity and join us as we dig into the fundamentals of YugabyteDB for database administrators. In this training, you will learn about how to install, create, and manage a YugabyteDB cluster for a variety of deployments: on-premises, cloud provider, and Kubernetes. Ideal for both database and systems administrators, this course covers security and database operations. Experience with structured data, relational database systems, SQL, and Bash shell scripting is helpful, but not required. Additional knowledge of various cloud providers and Kubernetes is beneficial. When you complete this training, you will be automatically enrolled in the course exam.

Join us for a live session to close out the 4th annual Distributed SQL Summit. We’ll recap the event quickly and then engage in some live polling to help share insights from the audience with everyone. And then of course we’ll have some giveaways to share out to lucky attendees.