Everything George Fraser said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Fraser: Fivetran succeeded by guaranteeing data accuracy instead of selling toolkits
“And the really critical thing we did that laid the foundation for our eventual success was that we said that it was our responsibility to make the data match. Which is actually unusual in the field of data integration. Most data integration tools, they see the…”
Fraser: Hypergrowth forces quicker venture rounds regardless of capital efficiency
“No matter how capital efficient you are, you end up the faster you grow, the sooner you need to raise again, unless you want to just sit there and have, you know, one month's payroll in the bank account, which I don't think you want to when you have a lot of e…”
Fraser: Syncing a single database can support an entire company
“You can make a whole company just out of syncing one database”
Fraser: Post-load master data management in the warehouse is safely non-destructive
“And this is different than how it's historically been done, but the big advantage of Doing MDM and other similar things in this way is that it's non-destructive. So you still have the original data. If you make a mistake and you realize later, oh, I said these…”
Fraser: Cloud data warehouses render legacy tools like OLAP cubes obsolete
“The tools that you use to manage data and analyze data are actually getting simpler over the last 10 years. You don't need as many different things because a few tools, most importantly the data warehouse, Have gotten so much better over the last 10 years that…”
Fraser: Amazon Redshift was the first cheap, fast data warehouse
“Redshift was incredibly important because it was, it came out in 2013. It was in the AWS console. It wasn't the first really good fast data warehouse, but it was the first one that was cheap.”
Fraser: Fivetran has customers running billing out of their data warehouse
“We have customers who run billing out of their data warehouse.”
Fraser: In-warehouse transformation compute is cheaper than data engineering time
“The additional cost of compute and storage to replicate the extra data, to do those steps, those transformation steps inside the warehouse Are so small now, you know, they're less than what it's going to cost you to pay your data engineer for a week to build y…”
Fraser: SaaS vendors sometimes alter their APIs specifically for Fivetran
“And then sometimes they actually change the APIs for us.”
Fraser: dbt has emerged as the standard for data warehouse transformations
“Over the last couple of years, this great tool called DBT, which is an open source community. It's also a product, and there's a company called Fishtown Analytics that's the primary sponsor of DBT, but it's really emerged as the way to orchestrate transformati…”
Fraser: Vertical data integration will be a major trend in tech
“I think there's going to be a huge wave of this over the next few years. I think this is a giant trend in the In the data technology space is vertical integration, both because there's just like a centralization of effort, but also because it allows you to acc…”
Fraser: Fear of public failure is an underrated motivator for founders
“Fear of failure is an underrated motivator, let me tell you. But when all of your relatives know that you've started this company and you see all these people every summer at the lake, you realize that you had better make it succeed or you are going to be hear…”
Fraser: Building custom data pipelines works best for large, stable internal sources
“If the data source is really large, it's something that's just yours, so Fivetran's never going to build a connector to it, and it's relatively stable, like it's not constantly changing configuration, then you can build your own data pipeline using the tools p…”
Fraser: Select a startup name with zero initial Google Trends volume
“Choose a name that if you go into Google Trends, it's basically zero, because then you'll know when you've broken through into public consciousness.”
Fraser: BI dashboards are the most common data warehouse use case
“In practice, the most common use of data warehouses is to support business intelligence dashboards.”
Fraser: Fivetran is publishing standards for replication-friendly API design
“And we're working on we're working on publishing more about, like, what do you need to do to make an API that's friendly to replication for data warehousing? Whether it's by us or one of our competitors or just the customers building their own data pipelines, …”
Fraser: VCs are Fivetran's top referral source for Powered by Fivetran
“Venture capitalists are our most effective source of referrals actually for the powered by Fivetran program, because they all have a lot of, they have a lot of portfolio companies that are building businesses that, that meet that description in one way or the …”
Fraser: Marketing data is often Fivetran's initial enterprise use case
“So marketing data is often like the initial use case for Fivetran at a large company.”