Azure Blob Storage, with Azure Data Lake Storage vs. Kognitio (discontinued)

In Azure, it is the storage to use, and in my view, the Blob Storage offers more, or finer-grained configuration options, than S3. So my recommendation would be to check in detail what is offered. As the Blob Storage is more or less a Microsoft exclusive product, the "interoperability" is more limited than, for example, with S3. The S3 is more widely adopted, and if you cannot exclude a migration scenario from one cloud provider to another, additional effort is needed.

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What you have are different strategies for data encoding, which makes the process quite flexible, it is perfectly done so that a joint and collaborative work can be carried out, this information analyzed in large quantities, is extremely vital for the company, by giving it the correct and timely reading

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• The data lake analytics tool is good and provides loads of computing power to speed up the processing time.
• It provides unlimited storage for structured, semi-structured or unstructured data.
• Cloud-based service and we can easily use it for ETL and ELT processes.

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• Ultra fast query results.
• IN Memory Database.
• Easy integration to reporting services.

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• study for the certifications also to have them as a reference for work when you have any questions about applying a configuration to the equipment.
• The Internet interface is simple and easy to use. Capacity is good and it's good that HP continues to innovate with this technology

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• Problems Could Be Encountered is particularly pronounced in more complex analyses.
• Categorical variables are often not precise enough

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Blob storage is fairly simple, with several different options/settings that can be configured. The file explorer has enhanced its usability. Some areas could be improved, such as providing more details or stats on how many times a file has been accessed. It is an obvious choice if you're already using Azure/Entra.

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Microsoft has improved its customer service standpoint over the years. The ability to chat with an issue, get a callback, schedule a call or work with an architecture team(for free) is a huge plus. I can get mentorship and guidance on where to go with my environment without pushy sales tactics. This is very refreshing. Typically support can get me to where I need to be on the first contact, which is also nice.

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Azure Premium Blob offers better latency than competitors. It works best with the Azure ecosystem, and competitors lack it. Azure Blob even stands out in storage durability, providing up to 16 nines. It can have various use cases that can suit all the organisation's needs. The Azure Blob solution can also be deployed on-premises.

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We selected Kognitio because of the legacy systems that are still running. Also, we have legacy systems in place that are fit for Kognitio. End-user has good feedback on our side when we started implementing this solution. Current servers are compatible with Kognitio in place.

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• Data Migration projects from relational sources to Azure Data Lake Storage have given a great ROI, thanks to the less running costs, and High availability
• Pretty easy to work with in terms of Managing and accessing Data in containerized fashion.
• Further features like Archival of data which is accessed less frequently can significantly reduce cost

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• The implementation of the formats to integrate the users we have and the program is also good.
• I also improve the control of aspects related to the work environment

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