A DataOps Journey | Starschema

A DataOps Journey

a roadmap to an effective DataOps practice

Introducing the Stack of the Future for Modern Data Leaders

Fast unobstructed access to data and time to insight matters more now than ever. In these quickly changing times, businesses must innovate and implement a ‘Stack of the Future’ to be able to make accurate, data-driven decisions in minutes, not hours or days. The potential value of data is well known but in the new environment, the ability to easily share and collaborate on data is a competitive differentiator that will be leveraged by forward-thinking companies

COVID–19 Data Set Modeling and Analytics

During times of crisis, companies must look at the available data — both internal and external— and try to understand how that data can be used to determine how the business is currently being impacted, how it is likely to be affected in the future, what are most likely scenarios that will play out, what can be done to counter those scenarios and take advantage of hidden opportunities in this rapidly changing environment. The Starschema COVID-19 dataset ingests reliable data from multiple sources and makes it analytics-ready so it can be easily accessed and used.

Working with the COVID-19 Data Set

During this time of crisis, everyone is searching for answers. Governments, healthcare institutions, non-governmental organizations, and businesses large and small urgently need to make decisions about their future. We believe they should be armed with accurate, easily accessible, analytics-ready data. That’s why we collated, curated, and unified the most credible and reliable public data sets into a single source of truth data set.

Data Quality & Data Enrichment in the AI Era

In the age of artificial intelligence and machine learning, the standards for data quality have risen but machine learning can aid in cleansing and enriching data. In this webinar, Tamas Foldi, Starschema CTO and Tableau Zen Master presents the latest trends in data quality and enrichment and demonstrates how AI is helping to make cleaning and enriching data easier.

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