Data observability helps data engineers with maintaining data quality, tracking the root cause of errors, and future-proofing the data pipelines. Let’s talk about the benefits in more detail below.

Too many data projects overlook the root causes driving data pipeline needs. Organizations need to drive data projects by evaluating business challenges, risks, and opportunities. Overall project success requires an...

Bill Inmon, the father of the data warehouse, explains why it is a tautology that transformation is required for the proper analysis of unintegrated data sets.

The five important key factors of any Data Lake to implement a successful architecture are Security, Governance, Metadata, stewardship, & ETL

Is your information drowning in a data lake? Here’s how to rescue your data for maximum use.

Data mesh is being talked about a lot to describe the way data is managed across the organization. But what does it really mean for your organization’s data management strategy...

With unprecedented growth in data and increasing carbon emissions, sustainable data warehouse designs are a concern for global leaders.

Are you thinking of using a customer data platform as your data warehouse? Check out the pros and cons of having your CDP be your data warehouse.

Listen to the voice of the customer to build credit bureau credibility.