Azure Smart Data Lake: The Principle of Any Big Data and Artificial Intelligence Project
Build and keep in sync a centralized repository with all the data you'll need to get value from the technology you later decide to use
What is Azure Smart Data Lake?
Azure Smart Data Lake is the ideal way to incorporate (or reincorporate) a consolidated data repository into your company to perform Big Data analysis and apply Artificial Intelligence with quality data, synchronized and governed at all times.
Based on Azure Data Services and fully managed in the cloud by Microsoft.
How Can Azure Smart Data Lake Help You in Your Organization?
1. Data consolidation
It consolidates data in a single centralized repository.
2. Flow automation
Azure Smart Data Lake automates flows so that data scientists can work with confidence and without having to intervene in the data synchronization process.
3. Data and flow monitoring
It keeps data and its flows monitored at all times.
4. Universal classification
Azure Smart Data Lake keeps data universally cataloged so that it can be consulted by users and applications.
5. Access control
6. Modern environment
It lays the foundation for providing a modern Data Warehouse environment.
Objetivos genéricos de nuestro servicio de Smart Data Lake (SDL)
End-to-End Data
Implement an end-to-end Data Lake (point-to-point)
Use of AI
Prepare the necessary environment to perform data analysis and apply Artificial Intelligence with confidence
Get the most out of Azure
Reduce the risks of such projects while taking advantage of the benefits of Azure’s services specially designed for this purpose
Specific Objectives of Our Project Plan
Collaboration
Enable collaboration using a single working environment for all analysts
Data lifecycle
Monitor the data model lifecycle
Security
Enable management of users, roles and permissions, defining how data is accessed, how they will be shared, etc.
Data integration design
Allow integration with multiple data sources
Monitoring and management
Monitor and manage workflows and analyze their behavior
For which type of companies is Azure Smart Data Lake for?
- Large and medium-sized companies and organizations that are already addressing, or are about to address, Big Data Solutions, and want to simplify, make more flexible and streamline all the necessary infrastructure/architecture of systems and data.
- Companies with Big Data development that are experiencing problems with data quality and freshness.
For which professionals is Azure Smart Data Lake targeted for?
Business Benefits | Collaboration and Security
Data Scientist
- They can stop worrying about data management
- Azure Smart Data Lake ensures that the data they use in their calculations is of quality and up to date
- Data is cataloged in such a way that they can know at all times the existing information in the Data Lake to enrich their models.
Data Engineer
- No need to worry about managing clusters
- Easier to program data streams
- Automated workflows
- Data flow monitoring
- Automatic alerts and log acess
- Democratization of clusters
CDP, VP of Analytics
- Fast and collaborative platform, accelerating the Time to Market
- No need for DevOps
- Self-managed security
And then what?
Personalized adoption project
The use of SDL as a consolidated data repository makes it often advisable to have a personalized project for adoption, roll-out, platform configuration, custom developments, connections to new data sources, and so on.
Growing profits and ROI
Once you begin to obtain the platform’s ROI with proposals such as the present one, it is convenient to analyze how to continue growing profits and ROI from this whole new Digital Transformation paradigm.
Do you want us to help you?
You just need to give us your name or your email,and we'll get in touch with you to tell you more about hiw we can help.