About
Databases in 2024 are about their ability to scale and perform in modern data architectures. We aren’t just focused on distributed, cloud-centric data environments anymore; now, we are also fixated on databases being built and managed in a way that allows them to be used optimally in advanced applications. The modernization of database architectures allows for developers and organizations to be more flexible with their data. With advancements in automation and the proliferation of artificial intelligence, the way data capabilities and databases are built, managed, and scaled has evolved at an exponential rate.

Join DZone and a panel of experts as we discuss database adoption trends, real-time streaming architectures, the role AI plays within database systems, database management strategies, and more.
Agenda
  • Database adoption trends in 2024
  • Real-time streaming architectures
  • The role of AI in database systems
  • Effective database management strategies
Presenters
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Jesse Davis
Moderator, CTO, DZone
As the Chief Technologist @ DZone, Jesse is responsible for guiding the strategic direction of products and helping customers build the world’s largest, most engaging developer communities for companies like Disney, Amazon, SAP, Pixar, and Unity. Jesse has been building enterprise software and engineering teams for 25 years and is a respected executive, author, speaker, and coach.
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Naga Santhosh Reddy Vootukuri
Senior Software Engineering Manager, Microsoft
As a seasoned professional with 17+ years working at Microsoft and specialized skills in cloud computing and AI, I lead a team of SDEs focused on initiatives in the Azure SQL deployment space, where we emphasize high availability for SQL customers during critical feature rollouts. Aside from work, I am a technical book reviewer for Apress, Packt, Pearson and Manning publications; judge hackathons; mentor junior engineers; and write for DZone. I am also a senior IEEE member working on multiple technical committees.
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Anandaganesh Balakrishnan
Principal Software Engineer, Data Engineering and AI, American Water
Anandaganesh Balakrishnan is a data engineering and data analytics leader who has held senior leadership roles across the fintech, biotech, and utility domains. His expertise is architecting scalable, reliable, and performant data platforms for advanced data analytics, quantitative research, and machine learning. His current research is on large language models (LLMs), gen AI, and data catalogs.
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Denis Magda
Director, Developer Relations, Yugabyte
Denis started his software engineering career at Sun and Oracle, where he built JVM/JDK and led one of the Java development groups. After learning Java from the inside, he joined the world of distributed systems and databases, where he has remained ever since.
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Chinmay Soman
Head of Product, StarTree
Chinmay Soman is a founding engineer at StarTree, building real-time analytics solutions at scale. Previously he led the streaming platform team at Uber for building a large-scale, self-serve platform around messaging, stream processing and OLAP technologies. Before that, he worked at LinkedIn and IBM, focusing on distributed systems and security. He’s a PMC member of Apache Samza and a committer on Apache Pinot, Voldemort, uReplicator and AthenaX.
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Ted Gooch
Senior Staff Software Engineer, StubHub, Inc.
Ted is a seasoned data professional with 15+ years of work in the data space, and he has worked with many organizations to improve infrastructure and best practices around data. While at Netflix, he worked on the initial implementation of Iceberg and is currently a committer on the Iceberg open-source project. In his current role, he is helping StubHub build out the next generation of data platform and fostering an environment that supports data driven decision making.
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Denis Lusier
CTO & Co-founder, pgEdge Inc
Entrepreneur & developer with two+ decades of PostgreSQL experience. Co-Founder and CTO of pgEdge; AWS product manager for Postgres; Founder of OpenSCG and Co-Founder of EnterpriseDB.
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