~/conference

DataEngBytes Sydney 2024

date:2024-09-24
location:Sydney, Australia
series:DataEngBytes Sydney · 2 editions
editions:[DataEngBytes Sydney 2023, DataEngBytes Sydney 2024]

Join the DataEngBytes data engineering community in Sydney. Connect with data engineers, attend meetups, and participate in conferences.

data engineers, analytics engineers, platform engineers, machine learning engineers, data architects, engineering managers, site reliability engineers

knowledge graphs for vector search; retrieval augmented generation (RAG); Protobuf data contracts; Data Vault 2.0 on Snowflake; Flink streaming pipelines; Neo4j vector index; dbt templated transformations; Snowpark Python classification; Fivetran and Confluent Kafka ingestion; Delta + Flink CDC pipelines; LangChain integrations

titleauthorlength
Future of Machine Learning PanelSuneeta Mall, Chip Huyen48m
Panel argues that scaling hits concrete limits: internet text for training is nearly exhausted, datacenters already use ~1–4% of world electricity, and gains…
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Data Mesh & Data VaultPatrick Cuba31m
Five-year case study of a cloud migration that centers Snowflake and combines Data Vault 2.0 with domain-driven teams, templates and automation. Ingest uses…
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Knowledge Graphs : Adding a New Dimension to Vector Search and Generative AIDarren Wood38m
Claims that grounding LLMs with knowledge graphs reduces hallucination and adds explainability while improving relevance by re-ranking vector results. Uses…
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Beyond LLMs and Maturing RAG use casesDavid Levy31m
Claims that vanilla LLMs solve reasoning fail on simple tests — a model spending 19 seconds still answers “strawberry” R‑count wrong (says three Rs), and a…
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Breaking into Data EngineeringEevamaija Virtanen24m
Brings 10+ years consulting and 3+ years in data engineering, lands first data-engineer role in 2022 and rises to senior within two years; learns via Udacity…
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How to NOT build a data integrationEmily Melhuish26m
Integrations with GitHub, PagerDuty and Jira use event webhooks, GraphQL/REST and Forge but real choices mattered: GitHub worked best via webhooks + Lambda →…
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Data Integration at SafetyCulture: Implementing Protobuf for Efficient Data ContractsThiago Baldim, Richard Gutierrez18m
SafetyCulture replaces many bespoke CDC feeds with a single central CC Kafka topic and Protobuf contracts that enforce an envelope with metadata (who, when…
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The journey of Data Mesh and Compliance in a Multi-Regional Data LakeMike Dias, Paul Ashley27m
Built a customer-facing Atlassian Data Lake that actually serves product analytics, data exports and in-product dashboards, using logical CDC with Protobuf…
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Where are we going with observability?Adrian Cole28m
Argues that generative AI already augments observability by turning plain-English prompts into actionable queries and runbooks, demonstrates RAG with private…
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Tag! You're I.T.Victor Korabelnikoff, Sundeep Kaur26m
NIB scans and inventories over 300,000 column-level objects using Snowpark Python, then runs Snowflake SYSTEM$CLASSIFY (sampling up to 10,000 rows) to produce…
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Software Engineering Skills for Data EngineersYousry Mohamed28m
Covers concrete fixes: pick numeric types to avoid floating point surprises and cut storage (example dataset stored as 22 GB vs ~11 GB when switching doubles…
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Agile Data Platforms : Innovate at the speed of thoughtAndrew Montgomery, Scott Shellien-Walker27m
Argues that true agility means delivering more sophisticated use cases and that AI needs a solved data strategy first, then shows a working Coalesce pipeline…
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Increasing the LLM Accuracy for Question Answering on Structured Data: Knowledge Graphs to the RescuJuan Sequeda43m
Benchmark uses an enterprise insurance SQL schema, a set of enterprise questions, an ontology and mappings that virtualize the SQL as an RDF knowledge graph…
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Beyond the Build: Unleashing the Hidden Value in Your Data PlatformsPiotr Katolik30m
REA Group builds a streaming data platform on Kafka that enforces self-service onboarding with one- or two-step flows, eliminates approval bottlenecks, and…
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