Looking for a better way to store your unstructured, semi-structured or structured data in your organisation?
The Azure Cloud data lake is specifically designed and flexible to run large scale data and analytics workloads in a scalable and cost effective manner. In this article, we breakdown what a data lake is, its benefits and how other data services on Azure can benefit your business.
What is a Data Lake?
Azure Data Lake Analytics
Azure Data Lake Analytics (ADLA) is the compute part of the service you use to move, process and transform your big data located in Azure Data Lake Store. Using linked analytic engines like Azure HDInsight, Hadoop and Spark, you can apply batch and interactive queries, move refined data to Azure Synapse Analytics to build a report and run real-time analytics and machine learning to your data to produce better, actionable insights.
Because it’s highly scalable, you can set how much processing power you need when you need it, making it extremely cost-effective. Ultimately, ADLA allows businesses to spend more time on transforming data, writing queries and gaining more insights.
4 key benefits to Azure Data Lake
1. Consolidate your data into one place:
ADLS brings together all of your big data from disparate sources across cloud and on-premises environments into one central place. You can monitor and manage all stored data more easily, without having to go back and forth between more than one silo. If you’re looking to reduce the number of places you store your data or tools you use for data analytics, it’s an ideal solution for data consolidation.
2. A Cost-effective solution:
3. It’s secure and compliant:
4. Developer friendly platform:
Because of its scalability and cost-effective nature, Azure Data Lake is increasingly being used to handle big data. Big data is generally high in volume and takes a long time to process and analyse for meaningful insights, so having a scalable and centralised solution to store massive amounts of raw, unstructured information without having to transform it first - while having native integration with powerful data analysis tools - is becoming an increasingly essential toolset for business that want to become more data driven in their decision making.