Avoid These Common Mistakes When Preparing Data for Machine Learning

We explore the importance of representative data in machine learning and offer strategies to boost system performance, leading to improved outcomes and insights.

Transforming ‘overlooked’ data into a business strategy

By operating in the Cloud, businesses can store more data at a lower cost and utilize previously overlooked data for valuable insights.

Controlling SAP HANA Instance Data Sprawl

Enterprises running large SAP HANA instances in the Cloud are seeing a new challenge appear as their databases continue to grow. Since SAP HANA has a simplified data layout and structure compared to a more complex legacy database, it was assumed this would result in less data sprawl and duplication.