We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers. There needs to be better integrations with other solutions and there need to be more tools (including virtualization tools) and utilities between this solution and Hadoop. For example, Oracle has a product called Big Data SQL and it built a bridge between Hadoop and Oracle's database to make things easier for developers. The solution needs to be more stable.
The downloading process should be improved. The solution needs to improve the functionality of the auto-deduplication. We should be able to automatically archive, and right now we can't.
Cloud Analytics facilitates the processing and analysis of data through cloud-based services, enabling organizations to extract insights and improve decision-making. It offers scalability, cost-efficiency, and real-time data access for enhanced analytics capabilities.Cloud Analytics solutions integrate with multiple data sources, providing a cohesive platform for storing, managing, and analyzing large datasets. With the ability to handle vast amounts of data, these solutions are ideal for...
We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers. There needs to be better integrations with other solutions and there need to be more tools (including virtualization tools) and utilities between this solution and Hadoop. For example, Oracle has a product called Big Data SQL and it built a bridge between Hadoop and Oracle's database to make things easier for developers. The solution needs to be more stable.
The downloading process should be improved. The solution needs to improve the functionality of the auto-deduplication. We should be able to automatically archive, and right now we can't.