Azure Data Lake is the solution for your data strategy transformation. Our guide also explains the process of increasing the scale of operations and improving the business intelligence.
Business store vast amount of data in application’s database hosted on hosting or cloud server. These business data can consume extra space on cloud server or hosting if they are not normalized or optimized properly with proper optimization methods or techniques.
The major problem that businesses face is performance-related issues while performing data-intensive tasks when the organization scales up their infrastructure or increases the team size. In this blog, we will present the ultimate guide to scaling up your data operations with Azure Data Lake.
Understanding azure data lake
Azure Data Lake is a group of cloud services that is composed of Azure Data Lake storage and Azure Data Lake analytics. Azure data lake storage also benefits us in storing both structured and non-structured data in the organization.
On the other hand, azure data lake analytics helps us in integrating the data analytics tools in the application using C#, U-SQL and ADO.net.
Setting Up Your Azure Data Lake Environment
- First of all, we need to register and login to official website of azure data lake.
- Login to the azure portal and create a new storage account by clicking on Add and selecting storage account. Fill up the necessary required details like subscription, resource group and storage account name and proceed.
- Select the appropriate performance (standard or premium) and replication options like LRS, ZRS, etc.
Set up access control
Azure data lake provides a role-based access control feature to provide grant or access to certain users and privilege them to read, write or execute the files or data stored on the server.
This access can be controlled after setting up access control in Microsoft azure service for data lake. We can either configure access permission or set up an Azure Active Directory, which provides seamless access management.
Prepare data for ingestion
Business data needs to be organized first so that it can be retrieved quickly at the time of need. Improper and unoptimized storage of data increases the data query processing time.
Organizing the files and folders in user-friendly way helps us optimize the performance of application that is used for performing data operations within organization.
In case of complicated data ingestion, we can make use of azure data factory that helps to automate the data pipelines issues and bottleneck conditions while performing data operations.
4 Best tips to Scale up Data with Azure Data Lake
Transform your data operations with this Master Azure Data Lake solution. This guide does offer professional advice on how to grow and improve the use of data in business.
#1. Optimize query
Report and analysis depend on the query code that we perform. If the query is short, optimized and quick to execute, then the application becomes fast to handle data-intensive task.
However, if the query is not optimized, have more logics, and has complicated query commands that take huge amount of time to execute, then performance of the application becomes poor.
#2. Consult with azure data lake consultants
When we consult with azure data lake experts, they bring plenty of expertise and experience of azure data lake on the table. They help us identify the bottle neck situations within the organization before it is too late.
They build cost-effective strategies for building robust, scalable and high-performance azure data lake solutions for automating workflow in business and improving performance of the application.
They help us identify opportunity to reduce the cost of data storage by implementing changes in the Azure-based applications.
#3. Proper training and support services
The role of azure data lake developers is not only to build Azure-based applications for business. They also need to provide comprehensive training to employees for inculcating best azure DevOps practices.
They also provide real-time support and maintenance services in case of technical glitches or bugs in the Azure-based applications for business.
#4. Monitor and audit data access
Azure data lake provides several monitoring tools, like azure monitor and azure security Center for allowing us to monitor the data accessibility report and check logs for the security incident reports with timestamps.
To sum up, we must say that azure data lake provides excellent way to handle the data operations within organizations, whether it are small, medium or large-scale enterprise.
Azure data lake developers help us in build cloud-based applications that have excellent scalability feature and high performance. The pay-as-you-go model of Azure Data Lake helps us optimize the cost of data storage and save money for startup business owners.
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