Azure Databricks ! Best of cloud and Big data
We are leveraging Databricks capabilities in various use cases. For instance, to design a tailor made change data capture that keep track …
Overview
What is Azure Databricks?
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed…
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Associate Data Engineer
Rsystems International (Information Technology & Services, 1001-5000 employees)
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N/A
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What is Azure Databricks?
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and…
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- No setup fee
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- Premium Consulting/Integration Services
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Product Details
- About
- Tech Details
What is Azure Databricks?
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve total cost of ownership (TCO).
It is presented as an open and unified platform to run all types of analytics workloads, whether as a data scientist, data engineer, or a business analyst. Choice of language can include Python, Scala, R, and SQL. It provides version control of notebooks with GitHub and Azure DevOps.
It provides advanced automated machine learning capabilities using the integrated Azure Machine Learning to identify suitable algorithms and hyperparameters. The solution helps to simplify management, monitoring, and updating of machine learning models deployed from the cloud to the edge. Azure Machine Learning also provides a central registry for experiments, machine learning pipelines, and models.
It is presented as an open and unified platform to run all types of analytics workloads, whether as a data scientist, data engineer, or a business analyst. Choice of language can include Python, Scala, R, and SQL. It provides version control of notebooks with GitHub and Azure DevOps.
It provides advanced automated machine learning capabilities using the integrated Azure Machine Learning to identify suitable algorithms and hyperparameters. The solution helps to simplify management, monitoring, and updating of machine learning models deployed from the cloud to the edge. Azure Machine Learning also provides a central registry for experiments, machine learning pipelines, and models.
Azure Databricks Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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(23)Reviews
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January 26, 2024
Azure Databricks ! Best of cloud and Big data
We are leveraging Databricks capabilities in various use cases. For instance, to design a tailor made change data capture that keep track of users account details and keep it updated in delta lake. We have also designed numerous ETL processes which is scheduled to provide data to data analytics on strict delivery timelines. Moreover, the workspaces is integrated with other Azure services such as Azure Synapse Analytics, Azure data lake, Azure Data Factory. Some of our Databricks are triggered by Azure Data Factory.
- Consistently great performance when dealing with huge scale data with the help of spark architecture
- Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
- Integration with other Azure services is super smooth and robust
- Their pipeline workflow orchestration is pretty primitive. Lacks some common features
- Workspace UI and navigation requires steep learning curve
- Personally, I am not fond of their autosave feature. Its dangerous for production level notebooks scripts
December 15, 2023
Our new go-to tool for managing large databases and tables!
We use Databricks to pull performance metrics for our content hosted on the company website. Having one tool to view and analyze the data has been a game changer for us, saving many hours of collecting the data various sources in the past.
- SQL
- Data management
- Data access
- Intuitive interface
- Ease of use
- Providing FAQ or QRGs
72.5%
7.3
40%
4.0
85%
8.5
90%
9.0
90%
9.0
- Helped reduce time for collecting data
- Reduced cost in maintaining multiple data sources
- Access for multiple users and management of users/data in a single platform