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Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

DataKitchen

Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges. Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

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Question: What is the difference between Data Quality and DataOps Observability?

DataKitchen

. Question: What is the difference between Data Quality and Observability in DataOps? Data Observability is dynamic — it is the testing of data, integrated data, and tools acting upon data — as it is processed — that checks for flow rates and data errors. that is DataOps Observability.

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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

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Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

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DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Before we shut the door on 2021, we would like to share our most popular DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year. The DataOps Vendor Landscape, 2021.

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Accelerating Drug Discovery and Development with DataOps

DataKitchen

Pharmaceutical companies are finding that DataOps delivers these benefits. DataOps automation provides a way to boost innovation and improve collaboration related to data in pharmaceutical research and development (R&D). Figure 2 illustrates a self-service DataOps Platform for scientists engaged in pharmaceutical R&D.

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DataOps Enables Your Data Fabric

DataKitchen

Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. What is a Data Fabric? Gartner included data fabrics in their top ten trends for data and analytics in 2019. This is happening to the term “data fabric.”