As already alluded to, one of the main uses for HDLs is backtesting, a cornerstone of financial strategy development. With ...

To do that, a conceptual data model and a data pipeline will be defined. Data are uploaded to Google Cloud Storage bucket. GCS will act as the data lake where all raw files are stored. Data will then ...

A data lake is a distributed collection of raw and unstructured data that can store any type of data and support various use cases. Data warehouses are typically built using a predefined schema ...

Get an overview of the benefits and implementation process of a data lakehouse. A data lakehouse is a unified data management architecture that combines the features of a data lake and a data ...

And at Cloudian, the data lake always sits at the foundation of everything else,’ says Cloudian CEO and Co-founder Michael Tso. S3-compatible Storage Growth To Meet AI/ML Requirements Cloudian ...