Remove Business Analytics Remove Data Quality Remove Deep Learning Remove Metadata
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Building a Beautiful Data Lakehouse

CIO Business Intelligence

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 101
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Data Science, Past & Future

Domino Data Lab

Data governance on big data, that was starting to happen. You also saw much more strategic use of data science. Those workflows would feedback into your business analytics. We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices.