Anand Jayapalan: Access, Incompatibility, and More

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 Let's look at Anand Jayapalan's insights on access, incompatibility, and more in the data storage industry.

Anand Jayapalan's Insights on Data Storage Trends.

Software has taken the spotlight from hardware over the past decade in the storage world. Hardware, to a certain degree, has become more commercialized. The software is promoted as the secret sauce that provides features and functionality. To be at the top of the industry, you need to remember the strategies of experts like Anand Jayapalan based on trends.

For example, it's important to remember that data access requirements have changed. 
  
For many years, the industry's focus has been on how to store mountains of data. Nowadays, businesses want to monetize that data. That means finding ways to store more data cost-effectively without bogging it down in repositories and databases.
 
After all, monetizing unstructured data is never easy. It means data must be liberated from data silos for retention and made available to users and applications wherever they are.
  
Another obstacle people have to worry about is incompatibility, which has always been an ongoing issue in storage. There are many operating systems in which storage can be stored. The storage typically issues its storage operating systems and platforms. Each of them has different standards and languages, as well as protocols. These pieces sometimes don't fit perfectly.
 
An emerging trend features cutting-edge software that can bridge the gaps between vendor silos and incompatible file systems. This software allows access to and management of data through shared metadata across any on-premises or cloud storage type. It makes for a more manageable and usable resource.

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There is also the matter of data and analytics. Suppose you think like experts such as Anand Jayapalan. In that case, you'll foresee that data access and greater compatibility have opened many doors in the fields of AI and machine learning, as well as analytics.
 
Analytics does not need to wrestle with data formats, seek to shift data into business intelligence applications, and otherwise waste a lot of time trying to keep the data they wish to explore. 
 
AI and machine learning applications can now leverage global cross-silo access without consolidating data into a single repository. Data protection can be globalized across silos as well, increasing user and application productivity with persistent access and reducing operational expenses. The wider usage of AI on storage is exerting an impact on storage software, as determined by data storage experts like Anand Jayapalan,
  
Data storage solutions experts like Anand Jayapalan believe that AI is making a huge impact on storage software. Users will always want and need the best possible performance and want to get that from both the hardware and software sides.


Read more of 's insights on enterprise data storage by clicking on this link.


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