Data in modern times plays crucial role in maximizing business profit by enabling business leaders to stay ahead in this highly competitive business landscape. With the help of azure data lake solution we can automate data pipeline tasks, streamline data workflow within organization, and optimize data in the database for making it space efficient and improving the performance of data query in cloud-based solutions. Here are 10 shocking benefits of azure data lake that no one told you about.
Understanding azure data lake
The component of azure data lake is azure data lake storage and azure data lake analytics. Azure data lake companies have dedicated team of azure data lake engineers who explore the business opportunity for augmenting the data workflow by developing cloud based azure data lake solutions. These azure based solutions can be integrated with advanced analytics tools that empowers business owners to analyze vast amount of data, predict market demand, and make data driven informed business decision for maximizing the business profit.
Azure Data Lake is built for scalability, ranging from gigabytes to exabytes, without breaking a single drop of sweat. That scalability is natively integrated with other Azure data lake services, facilitating easy scaling of your data needs. You can begin small and scale up when needed, paying only for resources consumed.
One of the many surprises from Azure Data Lake is diverse data formats it allows. Be it structured data, like SQL tables, or unstructured data, like text files and images, Azure Data Lake supports them. Native support for these disparate formats makes it much easier to integrate and manage data that comes from heterogeneous sources.
Although security is a well-known benefit, the advanced security features in Azure Data Lake may surprise even the most seasoned IT professionals. In addition to encryption and access controls, some of the more modern features in Azure Data Lake include role-based access control, virtual network service endpoints, and advanced threat protection. These tools keep your data secure and compliant with regulatory requirements of all kinds.
The pay-as-you-go pricing that Azure Data Lake provides is truly a godsend for businesses. For example, instead of intense investment in on-premises infrastructure, you will be paying only for the storage and compute resource usage. This cost-effective approach lets every organization manage their budget more effectively and invest in other avenues of growth.
Integration with Azure analytics services, such as Azure Synapse Analytics and Azure Databricks, enables almost real-time data processing. This feature becomes utterly helpful regarding real-time analytics and big data processing, which allows businesses to visualize insights and further make decisions way faster than ever.
Azure Data Lake is a highly governed data platform, which may not always be evident. It offers a great deal in terms of cataloguing data, tracking lineage, and even putting in policies for quality and compliance. These are all important tools for managing the data assets and making better and responsible usage of those assets.
Another lesser-discussed benefit with Azure Data Lake is its outstanding, out-of-the-box integration with Azure Machine Learning. This enables data scientists to build and deploy machine learning models directly against the data stored within the Azure Data Lake, allowing much easier derivation of actionable insight from large data sets.
Azure Data Lake provides multilevel storage, optimized for different access needs and cost factors, such as hot, cool, and archive tiers. Such flexibility lets an enterprise optimize their storage costs by moving less frequently accessed data into lower-cost tiers while keeping the frequently accessed data readily available.
With Azure Data Lake, data collaboration is empowered through shared access and by providing a workspace to collaborate. Thus, teams can share the same dataset at any given time, collaborate more effectively without having to undergo cumbersome data movements or replication.
Last but not least, Azure Data Lake forms part of the Microsoft Global Network of Data Centres that guarantee high levels of availability and reliability. With data centres in almost every part of the world, you are assured that your data is always accessible with reduced latency and great uptimes.
To sum up we must say that modern businesses can get many benefits of azure data lake by integrating it with business application. On one hand it provides scalable solution for increasing team size and composition without hampering the performance of the application, while on the other hand it enables business owners to make informed business decisions at right time by allowing them to analyse the data, understand market dynamics, and build cost effective marketing plans for achieving data driven business goals.
Ultra-Scalable Storage with Seamless Integration
Azure Data Lake is built for scalability, ranging from gigabytes to exabytes, without breaking a single drop of sweat. That scalability is natively integrated with other Azure data lake services, facilitating easy scaling of your data needs. You can begin small and scale up when needed, paying only for resources consumed.
Native Support for Diverse Data Formats
One of the many surprises from Azure Data Lake is diverse data formats it allows. Be it structured data, like SQL tables, or unstructured data, like text files and images, Azure Data Lake supports them. Native support for these disparate formats makes it much easier to integrate and manage data that comes from heterogeneous sources.
Advanced Security Features You Didn’t Know Existed
Although security is a well-known benefit, the advanced security features in Azure Data Lake may surprise even the most seasoned IT professionals. In addition to encryption and access controls, some of the more modern features in Azure Data Lake include role-based access control, virtual network service endpoints, and advanced threat protection. These tools keep your data secure and compliant with regulatory requirements of all kinds.
Cost-Effective Storage with Pay-As-You-Go Model
The pay-as-you-go pricing that Azure Data Lake provides is truly a godsend for businesses. For example, instead of intense investment in on-premises infrastructure, you will be paying only for the storage and compute resource usage. This cost-effective approach lets every organization manage their budget more effectively and invest in other avenues of growth.
Instantaneous Data Processing Capabilities
Integration with Azure analytics services, such as Azure Synapse Analytics and Azure Databricks, enables almost real-time data processing. This feature becomes utterly helpful regarding real-time analytics and big data processing, which allows businesses to visualize insights and further make decisions way faster than ever.
Powerful Data Governance and Management Tools
Azure Data Lake is a highly governed data platform, which may not always be evident. It offers a great deal in terms of cataloguing data, tracking lineage, and even putting in policies for quality and compliance. These are all important tools for managing the data assets and making better and responsible usage of those assets.
Seamless Integration with Machine Learning Models
Another lesser-discussed benefit with Azure Data Lake is its outstanding, out-of-the-box integration with Azure Machine Learning. This enables data scientists to build and deploy machine learning models directly against the data stored within the Azure Data Lake, allowing much easier derivation of actionable insight from large data sets.
Flexible Data Storage Tiers
Azure Data Lake provides multilevel storage, optimized for different access needs and cost factors, such as hot, cool, and archive tiers. Such flexibility lets an enterprise optimize their storage costs by moving less frequently accessed data into lower-cost tiers while keeping the frequently accessed data readily available.
Enhanced Data Collaboration Features
With Azure Data Lake, data collaboration is empowered through shared access and by providing a workspace to collaborate. Thus, teams can share the same dataset at any given time, collaborate more effectively without having to undergo cumbersome data movements or replication.
Global Accessibility and Reliability
Last but not least, Azure Data Lake forms part of the Microsoft Global Network of Data Centres that guarantee high levels of availability and reliability. With data centres in almost every part of the world, you are assured that your data is always accessible with reduced latency and great uptimes.
Conclusion
To sum up we must say that modern businesses can get many benefits of azure data lake by integrating it with business application. On one hand it provides scalable solution for increasing team size and composition without hampering the performance of the application, while on the other hand it enables business owners to make informed business decisions at right time by allowing them to analyse the data, understand market dynamics, and build cost effective marketing plans for achieving data driven business goals.