Breaking Down the Modern Data Stack: Practical Insights for Leveraging Analytics Progress

You need to be able to draw insight and to structure that information such that people can then act on it. What is doing that? Today, transformation tools like dbt are doing that, if you take the lens of the data team really owning everything end-to-end, but I think also applications that are able to plug into the data warehouse, consume this raw i... See more

The amount of data we now access has grown far faster than the general level of data literacy in companies. Most companies have too much data, it’s stored in too many places, it’s not ‘clean’ and it’s often more confusing than helpful when it comes to what matters – making decisions with it. We need to ensure companies create centralized yet custom

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The next step is data transformation. Data transformation is the process of converting data from one format to another. Reasons for doing this could be to optimize the data for a different use case than it was originally intended or to meet the requirements for storing data in a different system. Data transformation may involve steps such as cleans... See more

The last core data stack tool is the orchestrator. It’s used quickly as a data orchestrator to model dependencies between tasks in complex heterogeneous cloud environments end-to-end. It is integrated with above-mentioned open data stack tools. They are especially effective if you have some glue code that needs to be run on a certain cadence, trigg... See more