Data lakes can significantly improve your organizations’ data warehouse and data storage output. If a data lake is being considered, then make sure the following most common but often-overlooked mistakes are avoided. Knowing data lake best practices is...
Your organization could be leaving valuable data out of its analytics with its existing data warehouse. Through integrating a data lake with the existing data warehouse the organization can extract powerful analytics it may have been missing As outlined in our...
Does your organization want to lower data storage cost while improving analytics output? Data lakes can reduce long-term storage costs while improving what data is analyzed and communicated. Even if you do not require big data storage capacity, a data lake is a...
Is your organization keeping up with the volume, variety, velocity, and veracity of data? To compete in today’s markets, it’s imperative to have a highly agile data management system. Agility is just one of the differences between data lakes and data warehouses. In...
Does your organization depend on data to make critical business decisions? If so, your organization should be leveraging a data lake architecture to extract the most value from your data sources. The enterprise information management market has been disrupted and...
