What does a day in the life at work look like? When I am on a client’s project, I am listening to their needs and proposing a solution that fits the bill. Once we have an agreed upon solution, I spend time coding to actually build and test the solution. Then I need to pass …
If you ask anybody, they will tell you that data is valuable.
But what they are likely referring to is data analytics (i.e. reporting, dashboarding, predictive analytics, etc.). This is the output of data. To get to this stage, where data is centralized and made easily available for analysis, you need a data pipeline.
This is where data engineering comes in.
For us, the most important consideration was scale. We are powering billions and billions of customer interactions, so having a partner like Snowflake who can support that scale was key.
We’re in its infancy, and I think very few people know how to do it well, so the fact that Infostrux is providing data engineering as a service is needed right now. I think that’s a really important skill set to have in your organization.
