A data lake is a storage repository that can manage large volumes and different types of raw or refined data in native format and then business analytics and data-mining tools are applied to the data.
According to Gartner, nearly 70% of all data warehouses face challenges related to performance and capacity. Data lakes built on top of distributed system can store raw data in any format of any size and overcome the challenges of traditional warehouses.
The main benefit of a data lake is the centralization of disparate content sources. Once gathered together, these sources can be combined and processed for business analytics and data-mining.
Take less time to access and locate data, thereby speeding up data preparation and reuse efforts
Enables users to build and test analytics models with greater agility
More accurate insights, stronger decisions
Adapts to changing needs of organization
hTRUNK and Big Data lake
hTRUNK provides a platform based solution that combines the software and expert services you need to build big data lake and leverage it effectively for your use case.
hTRUNK’s solution will not only get you up and running quickly but also reduce the complexity of your data lake implementation. The hTRUNK platform is natively built to support the Data Lake architecture and operationalize your Data lake.
hTRUNK’s solution provides the agility and flexibility in the below key areas
Smart Connectors to move data from any system to Data Lake
Pre-built components to perform any data engineering process
Complement existing systems without architectural changes
No need to learn Big data skills, innovate yourself