MapReduce, every mention
3 scenes (2023) · ← back to MapReduce
tap a year for its mentions
every year 2023 anyone Matt Turck 9Mike Olson 8Tasso Argyros 7Stefan Groschupf 4John Rauser 4Neha Narkhede 3Chris Wiggins 3Paul Dix 2Jordan Tigani 2Todd Papaioannou 1
Verbatim, from the transcripts: the passages where MapReduce comes up
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:10 Chris Wiggins Um, it was, so when I showed up at the New York Times in 2013, if you wanted to get your hands on data, you needed to write your own MapReduce jobs in Hive and hit buckets of unstructured JSON sitting in S three.
Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
- ▶ 8:27 Jaime & Tobie Morgan Hitchcock We wanted to have real-time data that was constantly changing, but at the same time, without having to run the MapReduce or large-scale analytics processes and workloads on that data, we wanted to pull out that data in real-time for…
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 8:57 Dimitri Sirota Now, they may differ, so for instance, for Hadoop, we could do, like, MapReduce, uh, we could do, um, direct, uh, connectivity to, um, uh, uh, Hive or Spark we could use, but they all use native protocols to scan the underlying system.