It's a decent backbone for maintaining and controling the real big data
April 09, 2022
It's a decent backbone for maintaining and controling the real big data
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Azure Data Lake Storage
We use the Azure Data Lake Storage unlimited capacity for storing real big IoT data. The major problem with the real-time data is the scalability and when the business demands more resources the database e.g. increasing number of connected sensors, the Azure Data Lake Storage is highly scalable and helps us to manage such big data.
Pros
- Scalable (hosted in the cloud)
- Reliable
- Fast
Cons
- Cannot use blob APIs and NFS 3.0
- Access controls
- Handling unstructured data
- Scalability
- Performance
- Security
- Provide a decent backbone for analytical and ML activities
- Enable data democratization across the people in the company
- It needs a bit depth technical know-how knowledge to set-up
- Azure Data Factory, Azure Data Lake Analytics and Databricks Lakehouse Platform (Unified Analytics Platform)
Microsoft solutions provide great harmony in end-to-end data value creation, and Azure Data Lake Storage is highly compatible with other analytical solutions, e.g., Azure Data Factory and Databricks. So I would say that it is at the heart of the analytical solution in the company, from ADF to ingesting the data and creating insightful analytics in Azure Databricks.
Do you think Azure Data Lake Storage delivers good value for the price?
Not sure
Are you happy with Azure Data Lake Storage's feature set?
Yes
Did Azure Data Lake Storage live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Azure Data Lake Storage go as expected?
I wasn't involved with the implementation phase
Would you buy Azure Data Lake Storage again?
Yes
Comments
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