Tag: Data & AI Strategy

Cloud Architecture: Build vs. Buy?

What type of organizations should build their own cloud infrastructure, which should go with a platform like Snowflake? Introduction More and more organizations are relying on public cloud services. However, being in the cloud does not mean the same thing for all. Some organizations choose to implement and maintain their own cloud architectures. Others prefer… Continue reading Cloud Architecture: Build vs. Buy?

The Evolution of Data Architecture: Intro

In the beginning, God created the heavens and the earth… which happened to spin off massive amounts of data. Man took that data and started using it to make business decisions. In order to effectively understand the past and make accurate predictions for the future, this data needed to be stored and processed. Thus data… Continue reading The Evolution of Data Architecture: Intro

Off-the-shelf vs Custom Machine Learning Models?

When is building better than buying an off-the-shelf solution? Companies can engage in different approaches to model development. From fully managed ML services, all the way to custom models. Depending on business requirements, available expertise, and planning constraints, they must make a choice: should they develop custom solutions from scratch? Or should they choose an… Continue reading Off-the-shelf vs Custom Machine Learning Models?

Materialize + dbt Allows Users to Transform Real-Time Data with Ease

Data is complicated. (That’s why it’s called ‘data science’). Managing its use and flow remains challenging and when data pipeline management is added the complexity increases. Organizations are continuously moving the data between one another and it is no surprise that the meaning of values or individual tables of your data warehouse can be lost… Continue reading Materialize + dbt Allows Users to Transform Real-Time Data with Ease

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