Amazon Redshift, every mention

9 scenes (2015), the whole family · ← back to Amazon Redshift

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Verbatim, from the transcripts: the passages where Amazon Redshift comes up

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▶ 20:26 Nick Mehta So today we use a combination of Postgres, Mongo, Redshift, and we actually use, um, if the customer is Salesforce, we run some queries live on their platform, and then we blend all those together, run it in Amazon, and then kind of push… 2 times in the scene

▶ 23:23 Liz Crawford And we do take many things off the shelf, so, um, we use, like other people earlier, we use Redshift, we use Looker,

▶ 13:51 Ramana Rao We're building out a data warehouse, and that's all on top of cloud-based stuff, Redshift in this case.
▶ 22:00 Ramana Rao Once it's in Redshift, uh, we will start, um, playing a lot with the data and looking, looking for things.

▶ 7:20 David Glueck The database storage, we, we switched from MySQL into Amazon Redshift, and it didn't have, we didn't have to re-engineer the entire system to pull that off.

▶ 4:17 Bob Muglia And here, probably the, the, the examples that many people think about, at least with regards to data warehousing and, and the big data space, are things like Amazon's Redshift or Elastic MacReduce or EMR.
▶ 7:11 Bob Muglia And none of that is possible with a traditional data warehouse running on premises or even a traditional data warehouse like Redshift running within, within a, a cloud environment.
▶ 16:35 Bob Muglia Than other cloud solutions like Redshift.
▶ 21:13 Tony Baer Yeah, I mean, so first of all, what I'll say is the architecture that we've built, that where we separate the data from the compute, the way we've done it, we think is pretty unique, and certainly in terms of having a product that is… 5 times in the scene

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