Hello and welcome to the marketing slice by Hurree, the show where the team at Hurree give you marketing insights, hints, and tips that will help you improve your results right now.
I’m Dominique Daly and in this podcast, we will be discussing the differences between a Data Warehouse and a Data lake. You can read this episode in full, along with helpful graphics and other great resources over on our website.
What is a data warehouse?
Data warehouses typically store data from various sources, integrating the source data to provide a unified view. These sources can include transactional systems, application log files, relational databases and more. The data in question is most often historical data required for periodical queries; this historical record is referred to as a business's ‘single source of truth’.
What is a data lake?
A data lake is a repository that allows for the storage of vast amounts of raw data, that is, data that has not been prepared, processed or manipulated to fit a particular schema. Data lakes are typically housed within a Hadoop technology environment; Hadoop is an open-source software framework that facilitates massive data storage capabilities.
In the episode, we cover 8 key areas where data lakes and data warehouses differ and discuss the benefits of each for your company.
We also have associated guides, videos, blogs, and infographics that can all be found at www.hurree.co.
So here we go…
