Presto, every mention

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Verbatim, from the transcripts: the passages where Presto comes up

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▶ 7:51 Justin Borgman Back then it was called Presto, and it was coming out of Facebook. 4 times in the scene
▶ 10:41 Matt Turck And the whole Presto to Trino, uh, kind of evolution was partly because at some point Facebook, uh, said, no, this is our open source project. 6 times in the scene
▶ 20:58 Justin Borgman Forever, though, and that's, you know, the first queries run on Iceberg were, were Trino or Presto queries.

▶ 40:33 Ben Rogojan (Seattle Data Guy) I'm going to use, you know, Trino or Presto internally, but Trino for, for people externally. 2 times in the scene

▶ 5:58 Dave Burgess And so we query Intelli, uh, to Presto, to Hive, uh, to Spark SQL, uh, to MySQL, but you can do it with other engines too.
▶ 8:16 Dave Burgess Uh, we have a query platform, which is Presto and Spark SQL.
▶ 31:08 Dave Burgess They usually either Spark or Hive or Presto jobs or Spark SQL and, uh, just process the data in every step and, and persist the data back to S three along the way.

▶ 3:26 Savin Goyal Uh, so like the storage layer for our data warehouse, and we use Spark, Presto, Snowflake, uh, as our query engines. 2 times in the scene

▶ 8:47 Solmaz Shahalizadeh Um, and then, uh, right now, as of last year, we've been in, uh, GCS, Google Cloud, so, uh, and then in terms of, uh, sort of query layer, we use things like, uh, Presto heavily, a little bit of Redshift, um, and then, like, different…

▶ 1:06 Justin Borgman It's a little bit different from Teradata's core focus, uh, but looking at different things, and one of those things was an open source project called Presto. 2 times in the scene
▶ 1:41 Justin Borgman So we are the Presto company. 6 times in the scene
▶ 2:46 Justin Borgman Um, you know, in a nutshell, we like to say that Presto is SQL on anything, and that's really what makes it unique, is the ability to query data anywhere. 3 times in the scene
▶ 9:35 Justin Borgman That means, you know, Hadoop's various projects can read this data, Spark can read this data, and of course, Presto can read this data as well, um, but because it's an open file format,
▶ 13:19 Justin Borgman Um, we were working at Teradata, as I mentioned, and we collectively left Teradata at the same time to start this business, and in doing so, worked out a deal that allowed us to continue to work with the number of customers we were working… 6 times in the scene

▶ 4:41 Praveen Murugesan And, ah, on top of HDFS, we basically have, like, Spark, and, ah, Presto, and Hive.
▶ 7:18 Praveen Murugesan So, a few things, like I talked about, strict schema management, so we actually built, like, a central schema repository which is used for schema management, and then, ah, we unlocked, like, a whole bunch of new tools with, like, data on…
▶ 15:57 Praveen Murugesan So it'll be really cool as a part of our injection pipeline itself if all the geospatial data is coming in indexed, and likewise, on all our consumer, ah, query, query engines that we use, like be it Hive, Spark, or Presto, if we can…

▶ 5:52 Haoyuan Li You have Spark, you have MapReduce, you have Flink, you have HBase, Presto.

▶ 14:35 Tobi Knaup Um, so they're running Kafka, and Cassandra, and Presto, which is, um, you know, a SQL query engine out of Facebook.

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