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Blog - DataOps

Posts about DataOps Principles:

#TrueDataOps: ELT and the Spirit of ELT

#TrueDataOps: ELT and the Spirit of ELT

By now, it is probably a well-known fact among our clients that before developing our DataOps for Snowflake data orchestration platform, we set about to define the principles that we felt were critical to ensuring that we laid the proper foundations for developing a data platform that would change the global enterprise data management solutions.  

4 Top Data and DataOps Trends for 2022

4 Top Data and DataOps Trends for 2022

Throughout 2021, data volumes have continued to explode unabated, thereby driving the need to adopt a robust data management/orchestration system to manage this enterprise data. Over the last few years, the term “DataOps” has become somewhat of a buzzword, albeit justified with global searches on the word and its derivatives up over 500% since 2018.

You’re Either Burning Money or Not Meeting Demand with Your Time Series Read/Write Provisioning

You’re Either Burning Money or Not Meeting Demand with Your Time Series Read/Write Provisioning

Unless it’s on Snowflake with Instantaneous Demand

One of the standard promises of Cloud Data Warehouses when compared to their on-premises alternatives is elasticity. As your requirements go up and down, the system can stretch or shrink with them. All such systems are capable of change to some extent. The question is all about timing.