The competition between the IT enterprises to remain the best among the rest is very tough these days. To stay ahead, better and faster, companies build storage infrastructure. These storage infrastructures predict, endure and are always cloud-ready to anticipate and prevent issues across the infrastructure stack. They are capable to support growth and mobility of data to ensure flexibility in the future. Since the total data volume is growing exponentially every single minute from different sectors, such as banking, retail, insurance, telecom, e-commerce, healthcare, and many others, the data sphere is anticipated to grow up to 163 Zettabytes (where 1 Zettabytes= 1e+6 Petabytes) by 2025.
Hence, it very important for organizations to understand the market trends that are responsible to impact the storage architecture. Is your organization strong enough to take up the challenge of implementing the best data storage solutions to support your business needs? Let’s find out now through these emerging data storage trends.
Popular Data Storage Trends –
Flash Storage Adoption
With the wide-scale adoption of flash storage, organizations will be able to include SSD for greater performance, energy savings, space efficiency, and reduced management regardless of their sizes. Flash Storage is the foundation of emerging technologies such as integrated data protection, storage automation, policy-based provisioning, and public cloud integration. Transpiring as a new standard with a growing demand and reduced cost, flash storage is evolving day-by-day.
Multi-cloud storage is an omnipresent technology with its new share of challenges. Moving data in and out is rather more complicated than moving across on-prem systems. New approaches support data management and data storage in a multi-cloud environment. A typical heterogeneous, multi-cloud offering allows data and applications to run across different public cloud environments, such as between Amazon Cloud Services and Microsoft Azure Services, or between a Public Cloud and Private Cloud.
Predictive Storage Analytics
Proven better than the traditional hierarchical storage management or any resources monitoring process, Predictive storage analytics harnesses and diverts data into operational analytics to guide prudent decision-making. It allows storage and network-monitoring vendors to continuously capture millions of data points present in the cloud that belongs to customer arrays deployed in the field. These data points are later correlated to the storage metrics to analyze the pattern of virtual storage running over physical targets.
Suggested reading – Amazon Launches Managed Kafka Services for Streaming Data
A lot of organization emphasizes secondary storage to optimize the capacity of the primary one. This way they are able to free-up primary storage and result in data being more accessible. This helps the organization to gain value from the older data or data that is archived and not considered business-critical. Organizations can discover flexibility, advantages, and ease of hyper-converged infrastructure. Businesses are approaching HCI for storage management to meet space, performance, and cost.
IoT Computing and Analytics
Data collected from other system and sources when combines with IoT data, the storage system suffers a huge burden. IoT analytics improves business efficiencies and help customers to gain insights.
Non-Volatile Memory Express (NVMe)
One of the most used and popular storage technology, non-volatile memory express is already used in SSDs that requires a PCI Express bus of a host computer. NVMe allows users to ascend their flash storage to a next level. This helps them to take advantages of the massive parallelization of SSDs and the gen-next SCM technologies.
By maximizing the potential of AI, organizations are drawing out a large pool of databases and the demand for data storage is shifting to a higher level. An enterprise needs to be well equipped with high-capacity storage and data replication functionality while implementing AI to fetch and review several terabytes of data. Organizations that gain benefits with data analytics and real-time data processing, need to ensure the implementation of right technology to shape and support AI development. To keep data accessible while being safe and secure is of paramount importance.
Final Word: The overall goal is to prepare enterprises to practice efficient data storage techniques and make them aware of differentiating important data from the less important ones. Since the data is not generated considering similar parameters, so it is difficult to prioritize them accordingly based on business productivity, cost, and efficiency.
If you are also figuring out to balance your huge amount of enterprise data through Infrastructure storage systems, you can contact i2k2 Networks, a managed IT services and data center solution provider, helping numerous organizations to enhance their business growth and productivity from last 20 years. Contact us at +91-120-466-3031 | +91-971-177-4040 or you can even drop a mail at email@example.com.