What is Azure Data Lake Storage
Azure Data Lake Storage is a distributed storage service for unstructured data in the cloud. It allows you to store vast amounts of data in any format. We have built a highly scalable, flexible, and extensible system that is optimized for you to store blobs of all kinds, including ones with complex or nested structures.
It is a public cloud data warehousing solution designed for storing big data. It is elastic and cloud-native, which means it scales on demand, and you pay as you use it with no up-front costs.
Azure Data Lake Storage uses Apache Hadoop Distributed File System (HDFS), an open-source software framework based on the MapReduce computing paradigm. The solution makes it easy to access SAS analytics and other tools in the Microsoft Azure Marketplace
Azure Data Lake Storage is a highly scalable, secure, and reliable enterprise storage service that seamlessly integrates with your existing tools and processes. It offers petabyte-scale object storage for analytics workloads from streaming data to your data lake.
Azure Data Lake Storage is a cloud-native, enterprise-grade service for large-scale, globally distributed computing, storage, and analytics. It enables you to store massive amounts of unstructured data in a single place, make it available whenever needed, and run any process on it at scale with low latency.
Azure Data Lake Storage is a part of Microsoft’s cloud computing platform that provides massive compute scale and performance to help you run low-latency, highly parallelized analytics queries over large volumes of data.
It provides persistent storage of structured and unstructured data, including semi-structured JSON, HTML, Avro documents, XML, and text.
Features of Azure Data Lake Storage
There are many features of Azure Data Lake Storage. Some of them are:
Unlimited Storage: Azure Data Lake Storage offers unlimited storage. You can store as much data as you want and run analytics queries on it. No need to worry about running out of space.
Scale and Performance: Azure Data Lake Storage has a massive scale and performance that lets you run any process at the speed of light. With its unlimited bandwidth, you can query all the data stored in Azure Data Lake Storage without worrying about network latency or throughput limitations.
Availability: Azure Data Lake Storage is available 99.9% of the time. The service doesn’t experience planned or unplanned downtime, so your data is always accessible to you and ready for querying.
Reliability: Azure Data Lake Storage is highly reliable. Azure Data Lake Storage replicates your data across three different regions and maintains high availability using geo-redundant storage. This means that if your data center experiences an outage, you can still access it from another location. And if a region loses power, the service automatically switches to its secondary site with no interruption in service.
Auditing: Azure Data Lake Storage enables you to track access and activity logs for every operation performed on your data. You can also set permissions on specific users or groups, control who has access to which datasets, and monitor all activity in real-time.
Data Management: Azure Data Lake Storage allows you to create your data lake with a simple drag-and-drop interface that lets you import files from any source. It also provides advanced analytics capabilities to make sense of your data for better business decisions.
Encryption: Azure Data Lake Storage allows you to encrypt your data at rest, in transit, and use. You can also set access controls for individual files or entire datasets.
Security and Compliance: Azure Data Lake Storage allows you to set access controls for individual files or entire datasets. It also provides security features, such as integration with Azure Active Directory and encryption at rest, in transit, and use.
Integration: Azure Data Lake Storage integrates with a wide range of Azure services, including HDInsight, Stream Analytics, Machine Learning Services, and more. It provides a single place to store your data and access it from any application.
Performance: Azure Data Lake Storage is built to be scalable and fast, allowing you to store both structured and unstructured data. It also provides a low-latency query layer and supports flexible schemas, which means that your data doesn’t have to fit into predefined tables or columns.
What is the Use of Azure Data Lake Storage?
There are many different ways you can use Azure Data Lake Storage to build your application. It’s a great place to store large volumes of data that you want to analyze using the latest machine learning techniques or for storing unstructured data like web logs, sensor readings, and more. You can also use Azure Data Lake Storage as a repository for backup files from your applications.
If you use Azure Data Lake Storage, you can add intelligence directly to your data lake. This gives you the flexibility to create a variety of applications that can take advantage of this data and make it easier for people to find exactly what they’re looking for.
You can also use Azure Data Lake Storage to build your application. It’s a great place to store large volumes of data that you want to analyze using the latest machine learning techniques or for storing unstructured data like web logs, sensor readings, and more. You can also use Azure Data Lake Storage as a repository for backup files from your applications.
Who can use Azure Data Lake Storage ?
Azure Data Lake Storage is a great solution for any organization that needs to store and process large amounts of data. It can be used by developers, data scientists, and IT operations staff.
– Big companies with a lot of data that need to make it easier for people to find what they need.
– Teams that are looking for ways to analyze massive amounts of unstructured data using machine learning techniques.
– Businesses that want help protecting their sensitive data from unauthorized access and misuse.
Developers : Developers can use Azure Data Lake Storage to store their application data, either directly or by using an API. In addition, they can use the service’s processing capabilities to perform analytics on their data without having to worry about managing servers or infrastructure. This can make it easier for developers to start working with unstructured data types like text, images and video.
IT Operations : Azure Data Lake Storage is also useful for IT operations staff who need a way to manage large amounts of unstructured data and make it available for analysis as quickly as possible.
How to create an Azure Data Lake Storage Account?
To begin, you’ll need to create an Azure account. If you don’t already have one, head over to the Azure portal and sign up for a free trial. Once your account is created, log in using your credentials and select the Data Lake icon from the left navigation bar. When prompted, enter the name of the data lake (e.g., “data lake-store”) and click Create.
- Log in to your Azure account using your credentials and select the Data Lake icon from the left navigation bar.
- When prompted, enter the name of your data lake (e.g., “data lake-store”) and click Create.
Once your data lake is created, you’ll need to create an Azure storage account. To do so, click the plus sign in the top-right corner of the Data Lake console and select “Storage Account.”
This will open up a modal where you can enter your storage account name and location. For example, if your data lake is named “data lake-store” and you want to store it in the United States West region, then enter “data-lake-store” as the name of your storage account, select US West 2 from the dropdown menu for location, and click Create.
PRICING OF ADLS
Azure Data Lake Store is priced on a consumption basis. You pay for the amount of data you store in your repository and the number of uses that data is being put to.
| Type | PREMIUM | HOT | COOL | ARCHIVE |
|---|---|---|---|---|
|
First 50 Tb |
15 RS per Gb |
1.44 Rs per Gb |
1.09 Rs per Gb |
0.144 Rs Per Gb |
|
Next 450 tb |
15 Rs per Gb |
1.38 Rs per Gb |
1.09 Rs per Gb |
0.144 Rs Per gb |
|
Over 500 Tb |
15 Rs per Gb |
1.32 Rs per Gb |
1.09 Rs per Gb |
0.144 Rs Per gb |
Conclusion
To summarize, Azure Data Lake Storage is a solution designed to let you ingest huge datasets and query them quickly. This is done through the use of fully managed clusters that run on solid-state drives (SSD), with no need to worry about running the clusters or handling storage. You simply upload your data once, enable analytics queries and views in the portal and start working with your data.
Analyze and visualize data from unstructured data sources such as weblogs, social media, sensors, and IoT devices. Gain infinite insights from your data by using the world’s most powerful cloud analytics solutions.
If you are building a modern application with microservices, Azure Data Lake storage is designed exactly for that. You can store all your data, unstructured data, or structured data, and build analytics on top of it.
With Azure Data Lake storage, you can store vast amounts of unstructured data with flexible schemas and cost-effective infrastructures. Azure Data Lake Store is a fully managed in-memory cloud database service that lets you upload semi-structured and unstructured data quickly while maintaining high throughput, low latency, and security.
Azure Data Lake presents a flexible, scalable option for storing, processing, analyzing, and visualizing data of any volume or size. Built-in security and auditing capabilities support regulatory compliance.
