Azure Data Lake Consulting
Azure Data Lake can be an invaluable tool for your organization when optimized. We can help you do so with our Azure Data Lake consulting services and solutions.
What is Azure Data Lake?
Azure Data Lake Storage Gen 2 (ADLS) is a foundation for big data analytics and modern data warehouses centered around enterprise-level, cloud-based data lakes.
The cloud platform supports file-system constructs – such as nested directory structure – for easy file access during data reads and writes. This is made possible by a feature called, “hierarchical namespace”.
ADLS delivers file-level security combined with blob storage to provide a low-cost and highly-scalable storage. Storage accounts are replicated to ensure high availability and resiliency.
Lastly, the enterprise data lake cloud solution provides strong security features. Data in ADLS is encrypted and authentication is managed through Azure Active Directory (Azure AD) and Role-Based Access Control (RBAC).
Our Azure Data Lake Consulting Services
Data Ingestion & Integration
Our team can help you implement a data ingestion process to mine, cleanse, conform, and enrich your data from many sources. Furthermore, we can help you integrate your data seamlessly into Azure Data Lake, all while maintaining data security, accuracy, and quality. Key2 Consulting can also help you integrate ADLS with other Azure products you may be using.
Lakehouse Implementation
We can help you implement a data lake or lakehouse properly so that your analysts, developers, data scientists, and more can easily access the data they need. Our team can take all of your organization’s unique needs and objectives during the discovery process and help you design and implement an optimal data lake solution.
Designing a Lakehouse Architecture
Our consultants can help you design and implement a lakehouse architecture that’s tailored to your organization’s unique needs and objectives.
One of the pillars of our lakehouse methodology is the medallion architecture (coined by Databricks) which consists of 3 distinct zones:
- Bronze – The Bronze Zone contains the raw, unprocessed data pulled from the source that is ideally appended incrementally and expected to grow over time. This might be data that is extracted in batches or streamed in a real-time, or near real-time, fashion.
- Silver – As data moves into the Silver Zone, rules such as removal of duplicates and filtering are applied. This data enrichment makes the Silver Zone an area of interest to data scientists and self-service analytics. Data is cleansed but not yet conformed to a dimensional model.
- Gold – Once data reaches the Gold Zone, it has been refined with business rules applied and usually aggregated to support analytics, machine learning, and other enterprise applications. Key2 relies on dimensional models with conformed dimensions so that joins to measures can be made easily and reporting in tools such as Power BI is efficient and expedient.
Ready to maximize Azure Data Lake? Contact us today.
Our company is a Microsoft Gold-Certified Partner with years of Azure consulting experience. We can help you get the most out of ADLS.
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