Athens BigData Meetup - Sept 17
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Landoop presentation in the Athens Big Data meetup, about streaming technologies on Apache Kafka. Introduction to the Lenses SQL engine and the Lenses platform and our open-source projects.
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- WHERE clauses that contain time change the validity intervals of your data; you can programmatically introduce and retract records based on their payloads!
- LATERAL joins turn streams of query arguments into query results; they will automatically share their query plans and resources!
- GROUP BY aggregations can be applied to ever-growing data collections; reduce data that wouldn't even fit in a database in the first place.
We'll review in-production examples where each of these cases make unmodified Standard SQL, run and maintain over data streams in Kafka, and provide the functionality of bespoke stream processors.
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2) Various patterns for building stateless, stateful, and joined streaming services are presented, including gates, sidecars and stream-asides. These can be combined to process events and build views.
3) An evolutionary approach is suggested where services start small and stateless, becoming stateful if needed, and layering contexts within contexts. This allows systems to balance sunk costs and future flexibility.
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- Venice uses Kafka for streaming ingest and provides a distributed key-value store.
- It supports versioned data pushes where a topic maps to a data version.
- The system mirrors data across many datacenters for redundancy and supports over 600 stores with 100+ TB of data pushed daily.
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=== Please download slides if blurred! ===
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Athens BigData Meetup - Sept 17
- 1. Landoop www.landoop.com Antonios Chalkiopoulos Athens Big Data Meetup 19 / 09 / 2017
- 2. $ whoami @chalkiopoulos Big Data Architect in Media, Betting, Retail and Investment Banks in London Books Author & Reviewer Programming MapReduce with Scalding Founder of Landoop
- 3. Hadoop Integration Kafka Connectors with SQL support Kafka Web Tools Docker containers Kafka Monitoring Lenses SQL Engine 2016 2017 Lenses Platform LANDOOP
- 4. partners with the most popular Hadoop vendor The full stack in few clicks
- 5. Hadoop Integration Kafka Connectors with SQL support Kafka Web Tools Docker containers Kafka Monitoring Lenses SQL Engine 2016 2017 Lenses Platform LANDOOP
- 6. 20+ Open Source Connectors with SQL support
- 7. Hadoop Integration Kafka Connectors with SQL support Kafka Web Tools Docker containers Kafka Monitoring Lenses SQL Engine 2016 2017 Lenses Platform LANDOOP
- 9. Hadoop Integration Kafka Connectors with SQL support Kafka Web Tools Docker containers Kafka Monitoring Lenses SQL Engine 2016 2017 Lenses Platform LANDOOP
- 10. $ docker run --rm --net=host landoop/fast-data-dev
- 11. Hadoop Integration Kafka Connectors with SQL support Kafka Web Tools Docker containers Kafka Monitoring Lenses SQL Engine 2016 2017 Lenses Platform LANDOOP
- 13. Hadoop Integration Kafka Connectors with SQL support Kafka Web Tools Docker containers Kafka Monitoring Lenses SQL Engine 2016 2017 Lenses Platform LANDOOP
- 14. LensesZoom into your data streams for Apache Kafka
- 15. empower the data teams securely access data in motion Discover & Analyse Implement Deploy & Operate on perm on cloudon laptop SQL Streams ConnectorsData Browsing PlatformSources Sinks Manage Applications Simplify IngestionDiscover Data Deploy Topologies Admin & Monitoring Kubernetes / Yarn / and more Lenses SQL Engine
- 16. demo time
- 17. Apache Kafka™ made easy http://landoop.com Register Now for early access @landoopLtd Twitter http://github.com/landoop GitHub We are hiring! antonios@landoop.com