Big Data Needs Azure Data Lake Storage
April 11, 2022
Big Data Needs Azure Data Lake Storage
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Azure Data Lake Storage
In our environment, we use Azure Data Lake Storage as a basis for data analytics workflows. Since we want to move away from single storage solutions we chose Azure Data lake as it integrates seamlessly with our current Azure environment. We are able to process large amounts of data and visualize and present it accordingly while ensuring availability and security.
- Azure Data Lake Storage is extremely scalable. It allows us to scale up or down endlessly based on what we need including replication.
- In terms of security, Azure Data Lake Storage fits our requirements really well as we can monitor and encrypt seamlessly. We can also assign permissions through roles and grant network-level access.
- Due to the fact that it can scale, we are able to monitor the cost of storage and any given time and make financial decisions about our infrastructure based on how small or big we want to scale.
- Since the price of Azure Data Lake will fluctuate based on storage size we have to keep a close eye on what data is getting pulled in which can be a cumbersome task as data collection streams need to be throttled to prevent higher storage costs.
- When we want to change the parameters of the data being captured by Azure Data Lake we have to keep in mind the historical data that's already been stored and consider methods for reprocessing it.
- Azure Data Lake can improve its process for distorted data. As data gets loaded the data cleansing process can be a bit more refined.
- The security features and Azure Data Lake are very important to our organization because it allows us the peace of mind in keeping our information safe and it allows us mechanisms to give access when needed.
- We like that it is scalable as we can control in real-time how much more storage we require and that can be expanded or spun down very quickly.
- We admire the fact that it integrates very comfortably with our current Azure environment. We don't need any 3rd party connections or integrations which makes overall management much easier on our IT teams.
- Instead of having separate pools of storage for data we are now operating on a single layer platform which has cut down on time spent on maintaining those separate pools.
- We have had more of an ROI with the scalability as we are able to control costs of storage when need be.
- We are able to operate in a more streamlined approach as we are able to stay within the Azure suite of products and integrate seamlessly with the rest of the applications in our cloud-based infrastructure
We chose Azure Data Lake due to the fact that it was already a product under the Azure application suite. We didn't have to focus on integrating another 3rd party application within our environment. Also due to the fact Azure Data Lake scales its storage pools very efficiently, we decided to reduce Snowflake to a backup solution in case Azure data lake no longer worked out for us.
Do you think Azure Data Lake Storage delivers good value for the price?
Yes
Are you happy with Azure Data Lake Storage's feature set?
Yes
Did Azure Data Lake Storage live up to sales and marketing promises?
Yes
Did implementation of Azure Data Lake Storage go as expected?
Yes
Would you buy Azure Data Lake Storage again?
Yes