~/talks

David Ostrovsky

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titleconferencedate
Modern Graph DatabasesBuild Stuff 20252025-12-03
Graph databases remain a niche but are growing for analytics and AI: Neo4j runs replicated graphs with trillions of edges and billions of nodes and avoids…
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Analytics for not-so-big data with DuckDBNDC Oslo 20252025-05-19
DuckDB runs analytical SQL on a single machine, demonstrating 1 billion rows in 15s on a laptop by fully using CPU, memory and vectorized ops. Live demos show…
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Analytics for not so big data with DuckDBBuild Stuff 20242024-11-13
Claims that an in-process library analytical DB (DDB/DuckDB) handles the 1–100 GB “medium” workload and runs as a single binary or embeddable Python package…
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Understanding Big Data for Software EngineersNDC Oslo 20232023-05-22
Explains why OLTP (transactional) and OLAP (analytical) need different systems, shows concrete solutions: copy-and-query data warehouses and precomputed OLAP…
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Modern Data Architecture: Breaking the Big Data MonolithBuild Stuff 20222022-11-09
Argues that the centralized data lake creates organizational and technical bottlenecks and proposes Data Mesh as a practical fix with four specific principles…
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A Brief History of Big DataBuild Stuff 20212021-11-17
Traces the engineering milestones that make modern cloud data stacks: the value tradeoff that single events lose value quickly while aggregates gain value over…
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Asynchronous Distributed SystemsNDC London 20212021-01-25
A synchronous call tree breaks at scale so the team moves to async messaging to remove temporal coupling, using Kafka and distributed logs as the durable…
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From Synchronous to Asynchronous Distributed MicroservicesBuild Stuff 20202020-11-11
Starts from why synchronous request-response breaks at scale and shows concrete alternatives: replace blocking calls with fire-and-forget or pub/sub over a…
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Improving Observability of Distributed SystemsBuild Stuff 20192019-11-13
A concrete playbook for turning a startup stack into an observable system: add trace ID in logs to correlate multi-service failures, collect the four golden…
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Adding Observability to Distributed SystemsNDC Oslo 20192019-06-17
A production email security service starts life with no observability, then adds generated transaction IDs on every message to reconstruct flows across ~80…
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"Adding Observability to Distributed Systems"Build Stuff Spain 20192019-05-23
Proofpoint’s cloud product evolves from a startup mess into a debuggable system by adding distributed tracing built on existing logs and metrics, using Kafka…
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Containers in Production: It’s Like Orchestrating CatsNDC Oslo 20182018-06-11
Company runs ~50 services across hundreds of machines and spends six months to roll the first container to production. Uses multistage builds to shrink a .NET…
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Who’s Afraid of Graphs?Build Stuff 20172017-11-15
Cuts through what graph databases actually do: stores vertices/edges, runs fast in-memory traversals, and fails to shard easily because partitioning is…
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Stream Data Processing for Fun and ProfitNDC Oslo 20172017-06-14
Explains concrete trade-offs and a working demo: uses Storm for real‑time ingestion, Spark Streaming for micro‑batches, and shows Kafka Streams as a deployable…
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GPUs - Not Just for Graphics AnymoreBuild Stuff 20162016-11-16
From #Vilnius to #Mallorca! BUILD STUFF is going to celebrate summer! An amazing weekend on APRIL 29-30, 2017 – MALLORCA, SPAIN will take you out of the office…
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"Welcome to Codemotion!"Codemotion Amsterdam 20162016-05-11
Multitrack conference at unexpected scale with tightly run logistics and consistently full rooms; attendees come from many countries and cities including Rome…
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Who’s Afraid of GraphsCodemotion Rome 20162016-03-18
Describes moving a heavy permissions sub-system out of MySQL into a graph-aware stack: demos use Neo4j, OrientDB, Gremlin and Cypher against sample datasets…
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