Why a Data Lake?
A data lake offers your company a solution to add value to your data, promoting innovation and operational efficiency. Aqsone supports you in its implementation. In 5 steps.
Choose the type of platform
Many companies choose tohost their data platform in the cloud, which is now becoming the norm. These solutions make it possible to size the capacity of the data platform according to uses, which offers great flexibility and limitless agility.
Collect and ingest data
It's necessary identify data sources and set up ingestion processes to collect data reliably and efficiently. This involves setting up data pipelines and configuring automated data flows.
Store and manage data
Once the data has been collected, it must be store in such a way as to facilitate their access and subsequent use. This requires the implementation of scalable data storage structures, backup strategies and recovery in the event of data loss.
Ensuring data quality
The data stored in the Data Lake must be high quality, reliable and safe so that the analyzes are relevant. It is therefore important to put processes in place to monitor and improve data quality.
Check security and compliance
The data stored in the Data Lake is sensitive and must therefore be protected. It is important to put security measures in place to ensure the confidentiality, integrity and availability of stored data. Compliance with regulations such as GDPR must also be considered.
A Data Lake? Not without data governance.
Data governance involves defining the policies, standards and practices to manage the data stored in the Data Lake, including access, permissions, security and privacy.