Azure Databricks Can Make Your Life Far Easier;

A Brief Guide 2019

 

What is Azure DataBricks?

 

Microsoft recently partnered with DataBricks resulting in a fast, cost-effective and reliable solution to make lives easier called Azure DataBricks. It is an Apache Spark based analytics platform and has much more features to offer as compared to other platforms.

   

 

How is Azure Databricks different from other cloud-platforms?

 

We know the importance of Big Data in our surroundings, data is everywhere and we need to derive meaningful insights from this data in order to cope up with our competitors. This problem has been addressed by Azure in the form of the most effective solution called AzureDatabricks, where developers can enjoy the liberty of Azure integrated environment and can use the best OSS capabilities e.g Apache Spark. AzureDatabricks is an analytics platform, which gives powerful machine learning capabilities and is typically optimized for Azure-based cloud systems. It was developed by the founders of Apache Spark to address the issues related to big data processing and analysis.

 

 

 

 

 

Following are the reasons how AzureDatabricks can make our lives easier in 2019:

 

   

One-click setup:

 

AzureDatabricks comes with great ease to install with just one click setup. It allows you to initiate the Apache Spark setup with a simple wizard, this way it relieves the headaches of developers and managing authorities, which come naturally from the tiring installation process. With Azure Databricks they can now focus on other important aspects like business-driven decisions. 

 

   

Collaborative Workspace:

 

The success behind Azure Databricks’s performance lies below its user-friendly feature of providing collaborative workspace. People from all around the globe can access it and can track, visualize and predict the solution to any data-driven problem. Not only this, multiple users can add comments and suggestions for a clear understanding of the code without making it look messy.

 

   

Azure Databricks security:

 

A key feature of Azure Databricks which differs greatly from Apache Spark is that it directly integrates with Azure Active Directory (AAD), once done users can then easily log in to their Azure Databricks accounts by using their respective AAD credentials. This ensures maximum security and encapsulation from external users. With the admin panel available inside the console, any user can easily manage the data by updating, deleting or editing it.

 

 

 Fast Speed:

 

If you use Apache Spark, you must have a clear understanding of its high speed, i.e. it can run at a speed of 100 times faster than Hadoop, now imagine Azure Databricks to be even faster than that. Shocking right? The team at Azure Databricks recently stated that the Azure Databricks architecture is designed after critically focusing on the aspects like indexing, caching, and some other advanced query optimization strategies to ensure such an extremely fast speed.

 

  

 

Easy Integration with Azure Services:

 

New integration to already in-use technologies has always been a pain, but with the launch of Azure Databricks, it has made integrations simpler and easier than ever before. Today, we can effortlessly integrate the other services of Azure like Azure Cosmos DB, Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Event Hubs, and Azure Data Factory, etc within Azure Databricks.