Contents
Overview
Data tiering is a storage management technique that involves categorizing data into different tiers based on its importance, frequency of access, and performance requirements. Companies like Amazon, Microsoft, and Google have already adopted data tiering as a key strategy for optimizing their storage infrastructure. According to a report by Gartner, data tiering can help companies reduce their storage costs by up to 50%. NetApp, a pioneer in data management, has been at the forefront of promoting data tiering as a best practice for companies. As noted by NetApp's CEO, George Kurian, 'Data tiering is a critical component of a company's overall data management strategy, enabling them to optimize their storage infrastructure and improve data accessibility.'
💻 How Data Tiering Works
The process of data tiering involves identifying the different types of data within an organization and assigning them to specific storage tiers. For example, critical business data may be stored on high-performance flash storage, while less frequently accessed data may be stored on lower-cost disk storage. Companies like Dell and HP have developed their own data tiering solutions, while others, such as IBM and Oracle, have partnered with NetApp to offer data tiering capabilities to their customers. As explained by NetApp's CTO, Octavian Tanase, 'Data tiering is not just about storing data, it's about making data accessible and usable, while also reducing costs and improving performance.'
📈 Benefits of Data Tiering
The benefits of data tiering are numerous. By optimizing storage infrastructure, companies can reduce their storage costs, improve data accessibility, and enhance data performance. Data tiering also enables companies to ensure that their data is stored in compliance with regulatory requirements, such as GDPR and HIPAA. As noted by Forrester Research, 'Data tiering is a key strategy for companies looking to optimize their storage infrastructure and improve their overall data management capabilities.' Companies like Salesforce and Dropbox have already seen significant benefits from implementing data tiering, with some reporting cost savings of up to 70%. NetApp's article provides a comprehensive overview of the benefits of data tiering and offers practical guidance for companies looking to implement data tiering within their own organizations.
🔍 NetApp's Perspective on Data Tiering
NetApp's article on data tiering provides valuable insights into the importance of optimizing storage infrastructure. As a leading provider of hybrid cloud data services, NetApp has a deep understanding of the challenges that companies face in managing their data. The article highlights the benefits of data tiering and provides practical guidance for companies looking to implement data tiering within their own organizations. As noted by NetApp's VP of Marketing, Joel Reich, 'Data tiering is a critical component of a company's overall data management strategy, and we're committed to helping companies optimize their storage infrastructure and improve their data management capabilities.' By leveraging data tiering, companies can ensure that their data is stored in the most efficient and cost-effective manner, while also improving data accessibility and performance.
Key Facts
- Year
- 2020
- Origin
- United States
- Category
- technology
- Type
- article
Frequently Asked Questions
What is data tiering?
Data tiering is a storage management technique that involves categorizing data into different tiers based on its importance, frequency of access, and performance requirements.
What are the benefits of data tiering?
The benefits of data tiering include reduced storage costs, improved data accessibility, and enhanced data performance.
How does data tiering work?
The process of data tiering involves identifying the different types of data within an organization and assigning them to specific storage tiers.
What is NetApp's perspective on data tiering?
NetApp believes that data tiering is a critical component of a company's overall data management strategy, enabling them to optimize their storage infrastructure and improve data accessibility.
What are some examples of companies that have implemented data tiering?
Companies like Amazon, Microsoft, and Google have already adopted data tiering as a key strategy for optimizing their storage infrastructure.