Setting up a Data Lake is vital for businesses looking for competitiveness.
Why a Data Lake?
A data lake offers your company a solution to value your data, promoting innovation and operational efficiency. Aqsone supports you in its implementation. In 5 steps.
1
Choose the type of platform
Many businesses 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 unlimited agility.
2
Collecting and ingesting data
It is necessary identify data sources and set up ingestion process to collect data reliably and effectively. This involves setting up data pipelines and setting up automated data flows.
3
Store and manage data
Once the data is collected, it is necessary to store in such a way as to facilitate their access and subsequent use. This requires the establishment of scalable data storage structures, backup strategies, and recovery strategies in the event of data loss.
4
Ensuring data quality
Data stored in the Data Lake should be of high quality, reliable and safe for the analyses to be relevant. It is therefore important to have processes in place to monitor and improve data quality.
5
Verify security and compliance
The data stored in the Data Lake is sensitive and must therefore be protected. It is important to implement security measures to ensure the confidentiality, integrity, and availability of stored data. Compliance with regulations such as the GDPR should also be taken into account.
A data lake? Not without data governance.
Data governance is the definition of policies, standards, and practices for managing data stored in the Data Lake, including access, permissions, security, and privacy.
Technologies that we master
AWS
AWS offers a complete range of products for processing your data: Amazon S3 (storage service), AWS Glue (ETL service), Amazon SageMaker (machine learning service) or even Amazon QuickSight (dashboarding solution)
Microsoft Azure
Azure offers a wide range of solutions to manage your data: Azure Data Lake (storage service), Azure Data Factory or Azure Databricks (ETL service), Azure Machine Learning (machine learning service) or even Power BI (dashboarding solution)
Google Cloud
GCP offers a wide range of solutions for managing your data: Google Cloud Storage (storage service), Google Cloud Dataflow (ETL service), Google Cloud AI Platform (machine learning service) or even Google Looker Studio (dashboarding solution)
Palantir Foundry
Palantir offers an advanced platform for managing your data: Palantir Foundry (storage service), Palantir Foundry Transform (ETL service), Palantir Foundry ML (machine learning service) or even Palantir Contour or Dashboard (dashboarding solution)
