Flash technology is the underlying storage medium that answers these questions and enables you to get the most value from your storage investments. However, what main aspects should you consider when it comes to improving the management of your company’s data storage?

Performance, Increased In Flash Storage

New storage systems have eliminated the spin-up latency applied by disk systems, resulting in a significant increase in data center performance. For this reason, it is ideal for online processing, I/O intensive workloads such as virtual environments, or ample data storage. The enormous increase in real-time processes, driven by both mobility and digitization, has made performance the second most important challenge for businesses and organizations and, in many cases, almost as big a challenge. Important as capacity.

Scalability, Future-Proof Flash Storage

The requirements and workload of businesses and organizations should drive the design and size of the flash deployment. The functionalities of mission-critical applications increase significantly with all-flash technology. In contrast, for other applications, a hybrid solution is more suitable to get the most out of technology solutions concerning the impact that their costs have on the bottom line. Flash can be used with 100% flash arrays or combined with other storage technologies so that flash can be allocated to performance-demanding applications through tiering.

Enterprise-Grade Availability

Professional solutions on an international scale combine data recovery with business continuity and data protection. Continuous operation achieves up to ~99.9% availability.

Infrastructure

To run major business applications and services, it is advisable to implement fully optimized and ready-to-use platforms that are entirely flash-based. Horizontal and vertical scaling is always consistent and immediate as storage is performed in pools that expand on demand. It is also straightforward to use and is designed for maximum operational simplicity. Finally, mixed workloads are consolidated across all workflow applications, both productive and non-productive.

Low Cost And Fast RoI

Flash technology allows you to store up to six times more data than traditional disk-based storage systems. Over three years, this leads to cost reductions of up to 80% with 5.8x lower storage management costs. On the other hand, the implementation is straightforward. There is an evident reduction of data online and a remarkable reduction of complexity in administration; lower power requirements and less space and cooling capacity are needed. By enabling flash to reach new levels of storage efficiency, scalability, and availability, companies can improve their business from end to end and meet the new challenges of big data, social media, mobility, and the cloud.

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Relationship Between Big Data And Cloud Computing

Big Data guarantees excellent possibilities for companies in the digital age. But to exploit the data correctly, it is necessary to work with certain technologies that help in its massive use. This is the case with Cloud Computing.

Big Data and Cloud Computing are two incomplete techniques to adapt to new technological changes and meet customer needs. It is essential to highlight that these methodologies are not exclusive to large companies. Regardless of its size, any business can use them to increase its profitability.

The data collected by companies must be stored, shared, and organized logically and coherently. To do this, these data need a technical infrastructure and specialists in the sector who apply their knowledge to extract their true potential and, therefore, facilitate decision-making.

This is where the cloud comes into play, also known as Cloud Computing, that invisible space in which we store all the information related to Big Data. The specific processes, applications, and software are launched to access the data and work with them.

Currently, there are three categories of cloud computing. Depending on the needs of the business, one or the other can be chosen, although all of them allow them to work in harmony in Big Data environments.

• Infrastructure as a Service (IaaS): Offers an Information Technology (IT) infrastructure on the network. It is related to computing that does not require a server.
• Software as a Service (SaaS): The infrastructure and information are stored on servers of an external server, and the client can access them comfortably through specific software.
• Platform as a Service (PaaS): It’s between SaaS and IaaS. It is characterized by offering tools that are used to design, create and implement applications on the web with the guarantee of not having to use technical infrastructures.

Taking all this into account, it is easy to discover the common point between both techniques. Cloud Computing will offer us the infrastructure in the cloud and the necessary space to store all the information generated by Big Data.

Cloud Computing: Scalability for BIG DATA

If Cloud Computing is characterized by something, it is its scalability. An element that allows large volumes of data to be processed, thus helping to avoid 100% saturation of a storage system when working with big data.

Due to its quality of variety, Big Data requires large doses of scalability, and Cloud Computing is the best ally in this regard. Its processing management, cost control, and security makes this system the best combination for working with large amounts of data.

In addition, Cloud Computing allows working with data in real-time by dividing the blocks into servers. The aspect that reduces the latency time considerably.

What Benefits Combine Big Data And Cloud Computing In Your Business

The main benefits that we will obtain in our organization by combining these tools are the following:

Lower costs: Services to store large amounts of data are costly, preventing SMEs from including the Big Data methodology in their strategy. By keeping this data in a Cloud Computing service, you will pay only for the space used, representing a final saving.

Concurrency: Cloud Computing infrastructures allow multiple users to access Big Data at the same time.

Agility: Cloud Computing services facilitate the work of large amounts of data, as is the case of Big Data since it does not require large configurations for its operation.

Data security: One of Big Data’s main problems is its vulnerability to computer attacks. By storing this information in a cloud environment, we will increase the protection of the stored information.

Improve decision-making: if Big Data already helps us improve decision-making, having the data stored and structured in a cloud environment will make it easier for us to analyze this information and improve decision-making instantly.

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As companies progress in digitization through new technologies, they need data storage systems capable of drawing from various sources and delivering information more quickly and efficiently. The requirements for artificial intelligence, machine learning, big data and other innovations are increasing, and IT administrators are turning to object storage to improve performance over traditional file storage. But performance is still a limiting factor, and flash storage systems are getting a better look.

In a recent survey they interviewed IT decision-makers, 90% are convinced that object storage based on All systems Flash will replace traditional primary storage in the next five years. Thanks to advances made by manufacturers in recent years, this technology provides comprehensive data protection and faster access to massive volumes of unstructured data, which has great benefits for today’s large workloads.

This research reveals that the market is at a good point of maturity to make this change, with these three countries standing out in particular. In France, 76% of those surveyed believe that this transition will take place in less than three years, a view shared by 72% of Germans and 43% of British.

Speciale explains that “object storage has begun to encompass flash media, and because the cost of flash goes down, it’s likely that it’ll become the default medium for object storage, and can make object storage the new main storage for a way wider range of applications”.

It highlights that All-Flash systems-based object storage offers performance unmatched today, especially for accelerating AI and machine learning environments, and provides more power for business intelligence and analytics applications while enabling greater leverage IT infrastructure capabilities.

Other interesting data from this study are that, the IT, technology and telecommunications and retail, distribution and transport sectors see this transition to flash-based object storage closest and believe that it will take place. Done in a year. Most of the rest of the sectors see it very differently and believe that it will be done within 3 to 5 years.

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