5 ⢠4 Ratings
đď¸ 29 June 2023
âąď¸ 40 minutes
đď¸ Recording | iTunes | RSS
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0:00.0 | We as a company, we want to be the entry point for data for all data-driven applications. |
0:08.3 | That's a big statement. |
0:18.8 | Hello and welcome to episode 68 of Great Things with Great Tech, the podcast highlighting |
0:23.6 | companies doing great things with great technology. |
0:26.6 | My name's Anthony Sputeri and in this episode we're exploring the exciting world of open source |
0:31.6 | data orchestration for analytics and AI in the cloud with a company that's revolutionizing the way data-driven |
0:38.9 | applications and storage systems interact and process data at unprecedented speeds. |
0:45.2 | What started out as data acceleration is now touted as a high-performance data access layer. |
0:51.5 | That company is Alexia and I'm delighted to be speaking with Director of Product |
0:54.9 | Management, Audit Madan. And welcome to the show, Audit. Hi, Anthony. Thanks for having me. |
1:01.9 | Hey, great to have you on. Just before we get into Alexio, if you love great things with great tech |
1:06.4 | and would like to feature in future episodes, you can click on the link on the show notes or go to |
1:10.7 | GTWGT.com and register your interest. Just as a reminder, all episodes of GtwGT are |
1:17.3 | available on all good podcasting platforms, Apple, Google, Spotify, obviously all hosted and |
1:23.8 | distributed by Spotify podcasts. And as a final reminder on YouTube, head to GTWGT podcast, hit that subscribe button |
1:31.6 | and the like button so you get all past and future episodes. |
1:36.3 | So with that, Adet, let's talk about Alexio and give us a little bit of a background about |
1:41.9 | the company's founding to start with. |
1:49.0 | And then I'm really interested as to, you know, how you got to be, you know, where you are in the company. Cool. Yeah, so, Luxia started from UC Berkeley's Amplab. |
1:55.0 | So University of California, Berkeley has a lab called Amplab, which also gave words to other prominent projects at the time. |
2:04.6 | So there was the Spark project, which as you all know, is the company, is the project behind |
2:11.6 | Databricks, and that's where the founders for Databricks come from. |
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