HBase
product on 1 show · 5 statements across 4 episodes
5 statements about HBase, every show
Dasdan's past teams built custom Kafka alternatives to handle 100 petabytes
“In the past, when we were doing data platform, there was no Kafka, for example, we created a Kafka-like system ourselves, but we are lucky that, yeah, we created an HBase, sort of HHive-like system ourselves with hundred petabytes of size of data, right?”
Pinterest reduced maintenance costs, latency, and infrastructure expenses by migrating to Druid
“And so we decided to migrate that to Druid. And so the maintenance cost has gone way down. The latency has gone way down. The actual cost of running the infrastructure way down. So really, really happy.”
Burgess outlines Pinterest's online serving and batch data engineering stack
“So data engineering at Pinterest comprises the serving part, all the online systems. So that includes the online databases like MySQL and key value stores like RocksDB and HBase, and also includes Druid platform. So we have our online systems. We also have all…”
Nitay Joffe's team at PowerSet built the NoSQL store that became HBase
“Several years ago I was at a company called PowerSet, and we built this linguistic search engine, and the main thing that, that you guys have probably heard of that came out of that is we created this NoSQL data store to store our crawl data, and that is what …”