Infostrux Data Blog
Infostrux is now SOC 2 compliant.
Infostrux gets its SOC 2 attestation: Security around data are at the top of our priorities. Getting this attestation keeps us and our client’s data safe. Infostrux is proud to announce it has successfully completed the System and Organization Controls (SOC) 2 Type I examination in recognition of its commitment to information security. Developed by
5 Key Benefits of Snowflake
You’ve heard about Snowflake, but aren’t really sure what it is or if it’s right for you. We work exclusively with Snowflake, and for good reason. It is a powerful platform that can elevate a company’s data. There’s a lot of information out there on Snowflake and it may be overwhelming, so we thought we’d
Meet Charles: Senior Data Engineer at Infostrux
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
What is a Data Pipeline?
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.
6 Questions Every Data-Driven Company Should Ask Themselves
If you’re like most companies, you’re collecting large volumes of data from a variety of data sources across different business units. What we typically see from the companies we work with is: Sales Data – a CRM that tracks all your customer sales data such as who bought what, when, how often, how much and
What Strengths and Functionalities Did You See in Snowflake?
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.