World Congress 2026 Europe Jul 10, 2026 Session details

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client

Max Fischer , Michael O'Toole

Imagine migrating a 620TB active data warehouse without a single maintenance window. See how a custom proxy transpiles SQL mid-flight to swap compute engines invisibly beneath millions of queries.

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#1 about 2 min

Scaling data infrastructure for a rapidly growing fintech platform

Expanding datasets and customer transactions forced a fundamental reevaluation of legacy data architectures to support growing operational demands.

#2 about 2 min

Addressing data ingestion and cost challenges while scaling architectures

Expanding computational costs necessitated a shift from rigid daily batch jobs toward more frequent and flexible analytical ingestion.

#3 about 2 min

Decoupling storage and compute with open lakehouse architectures

Adopting standard table formats ensures independent scaling for data stores while letting teams dynamically select appropriate execution engines.

#4 about 3 min

Migrating moving data targets without disrupting active engineering teams

Abstracting the database connection behind a persistent proxy maintains application uptime during underlying infrastructure transitions.

#5 about 4 min

Routing queries and transpiling syntax dynamically through a proxy

Intercepting network traffic enables systems to safely modify connection hosts and translate execution commands directly within the request path.

#6 about 4 min

Demonstrating dynamic interactive querying across different execution engine backends

Transpilation workflows rewrite backend-specific functions automatically behind the scenes for identical queries submitted across divergent database engines.

#7 about 2 min

Sharing data seamlessly across multiple compute engines using custom syntax

Bespoke proxy commands actively align output records across different processing tools to eliminate complex intermediate persistence layers.

#8 about 3 min

Implementing proxy plugins to intercept schemas and database clones

Automating underlying configurations allows the proxy layer to silently enforce index modifications and rapidly scale basic table operations.

#9 about 2 min

Optimizing sequential data pipeline performance with intelligent query delays

Injecting conditional polling handlers at the routing tier blocks orchestration commands efficiently until dependent upstream facts resolve.

#10 about 3 min

Enhancing caching patterns and access controls via the proxy layer

Evaluating analytical queries by an abstract syntax tree unlocks precise cache hits regardless of textual differences or formatting.

#11 about 3 min

Extracting operational principles from processing four million daily incoming queries

Designing flexible interception protocols empowers vast application ecosystems to scale horizontally without introducing hard client reconfigurations.

#12 about 1 min

Integrating conversational algorithms directly into the query interception proxy

Owning the database communication tier directly supports implementing specialized conversational agents and automated query optimization metrics internally.

#13 about 6 min

Addressing runtime migration specifics and future open source framework ambitions

Audience questions probe analytical tokenization specifics and the logistical pacing behind migrating legacy schemas incrementally using automation agents.

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Summary of decoupling analytical compute and storage

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Boosting developer productivity via consolidated converged database architectures

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Solving complex platform architecture challenges at an enterprise scale

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Executing massive cloud network migrations while maintaining live systems

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Modernizing queries using microservices and federated schemas

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3:00 min

Designing data ingestion architecture with system integration

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