Vladimir Bacvanski
where else to find them
no profile links on file
what they talk about
all 7 in the filters
where they keep going back
- Scale By the Bay2 editions2017–2020
all 4 in the filters
on a stage with
- Alexy Khrabrovonce
- Anisha Nainanionce
- Clemens Vastersonce
all 6 in the filters
who talks about the same things
- Klaus Deissner4 talks
- Clemens Vasters11 talks
- Scott Nichols10 talks
- Ian Coffey2 talks
- James Urquhart6 talks
- Pierangelo Di Pilato4 talks
| title | conference | date |
|---|---|---|
| Conquering All Stores with Gimel – A Unified Data Processing Platform | Scale By the Bay 2020 | 2020-11-12 |
Gimel is a Spark-and-Scala based platform that exposes a single dataset.read/dataset.write and SQL surface over Hive, HBase, Cassandra, Druid, Teradata… | ||
| Platform Oriented Data Architecture for Acceler... | Global Artificial Intelligence Conference 2020 | 2020-10-20 |
Argues that platforms must own both operational and analytical data and publish high-quality data product interfaces, not just APIs, to eliminate the “mickey… | ||
| CloudEvents - Intro, Deep-Dive and More! | KubeCon + CloudNativeCon North America 2019 | 2019-11-18 |
CloudEvents v1.0 defines a stable event envelope (JSON default, Avro/Kafka/AMQP bindings, HTTP binary/structured encodings) that over 30 companies adopt and… | ||
| How to Pick Your Next Streaming Architecture | Scale By the Bay 2017 | 2017-11-16 |
Compares concrete systems and tradeoffs: Akka Streams + Scoobs is used at PayPal for a web crawler and yields about 10x speed versus a multithreaded Java… | ||
| Vladimir Bacvanski Interview | Scale By the Bay 2017 | 2017-11-16 |
Distributed processing at scale improves throughput but networked microservices introduce latency, so the next optimization is to group services onto the same… | ||
| Apache Flink: A Very Quick Guide | Data By the Bay 2016 | 2016-05-16 |
Shows Apache Flink as a unified stream-and-batch engine that runs Scala DataStream API and Java, uses RocksDB state backend for large operator state outside… | ||
| DBTB INT Vladimir Bacvanski | Data By the Bay 2016 | 2016-05-16 |
Claims a new unnamed technology delivers excellent performance and lets teams build big data pipelines more quickly, and recommends a concrete learning path… | ||
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