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Core hypothesis is all companies are data driven, all have data complexity, and there is not enough talent out there to solve it.
Show Notes
04:01 Why Start Acceldata
06:02 Core hypothesis for Acceldata
08:59 Will Hadoop survive? And a tip of the hat to mainframes
11:12 Meaning of Data Observability & managing the data pipeline
13:26 The most troublesome data layer
20:10 Acceldata value prop
24:58 A typical observability engagement
29:08 AI is built in
30:38 Early client adoption
33:26 Preventing future data reliability issues
35:10 Acceldata's futures and why now?
Find Rohit: https://www.linkedin.com/in/rconline/
Find Acceldata : https://www.linkedin.com/company/acceldata/
Want to be featured as a guest on Making Data Simple? Reach out to us at
[[email protected]] and tell us why you should be next. Abstract
Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical
Leader IBM Technology Sales, where we explore trending technologies,
business innovation, and leadership ... while keeping it simple & fun.
Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
