Data, and in particular Big Data, are a problem today, both in their use and in their conservation.
Data is everywhere and is no longer confined to the physical confines of the data center. No one questions the fact that the numbers increase and the estimates continue to rise. What is really relevant these days is that companies are collecting and using this data to improve their market knowledge, strengthen their competitiveness and transform their operations and even their business models. This amount of digital data created, analyzed and stored is called bigdata.
Big data generally refers to a volume of data so large that traditional IT is no longer capable of storing, managing and processing it. But it’s not just a case of data growth outpacing technology growth. Big data embodies fundamental differences that require new approaches and technologies.
Much of this data is stored, managed and processed by disparate systems. And much of the value of big data comes from simply aggregating data from many different sources to get a 360-degree view of customers, products, and operations.
The data has acquired a new value, it is not only the dimension that it acquires but it is also the DNA of the company. But to realize this value, companies must evolve legacy processes into solutions that offer the ability to address proactive approaches to managing these assets.
This is why companies are immersed in a digital transformation, to exploit Big Data through solutions that allow the government and information management by allowing them to analyze the data collected.
But they also know that one of the challenges is compliance and data lake protection. And in a hybrid world, the data lake is all around us, in flux every second, with a new email, a new document change, a new cloud application producing additional data in another context, etc. Because of this new value and more since 2020, ransomware has become a global pandemic for the IT world and is spreading like wildfire trying to target these datalakes that have become the lifeblood of business. Therefore, and as mentioned earlier, securing and securing these assets has become a priority and places a huge responsibility on IT teams.
Source : https://www.statista.com/statistics/871513/worldwide-data-created
Furthermore, time has now become public enemy n. 1, we need to radically change the time it takes to get value out of our processes, and this is even more important when it comes to backup and recovery. When running backup and restore jobs, one minute is one minute. We cannot change the time element. It’s consistent. But what you can do is change what is done during this time. Can you protect your application until the last minute? Is it possible to implement true data consistency at the application level? Is it possible to reduce the data sent over the network to speed up and optimize backup times? It’s not enough to be hybrid, hyper-converged, optimized or agile; we need to start thinking in terms of globalization and a 360-degree vision. The key for customers is being able to react immediately.
Information growth and its impact on your big data backup strategy
In a world where Big Data is the norm (2.5 quintillion bytes data is produced daily by humans) and where interest in big data ROI is impacting traditional backup and recovery processes; companies are being forced to “rethink” their approach to data protection and find a balance between satisfying the organization’s desire for big data, seeking more value from the information they create (through data mining and analytics) and the age-old and essential requirement to protect information from disasters, cyber-attacks, or logical or physical system failures.
This is a logical conclusion, because backup is the one place in any organization where at least one copy of what is considered important is stored and cataloged for future protection and use. Not only is IT being asked to “secure everything forever” (many IT organizations have struggled with this problem for decades), but there is now an obligation to “secure everything everywhere”. weekly/monthly in the computing environment, is the consideration of what is required to restore more consequential operations. It’s one thing to protect everything everywhere, but how is the business going to recover huge volumes of data stored in a data center, remote office or even in the cloud?
Key considerations on the impact of big data on backup and recovery
More data (in applications, databases, file systems, etc.) requires harder choices about what to protect, when, and for how long. This influx of new information is forcing organizations to rethink backup schedules and the data ingestion mechanisms used to ingest and protect data, including file system/application backup agents, storage arrays, or hardware-assisted replication/snapshots and hypervisor API integration for virtual servers.
The result of massive data growth is making it more difficult to stay within a defined backup window and meet data protection SLAs (for traditional data protection and disaster recovery). With more information to protect, disaster recovery becomes inherently more complex, and IT organizations need to be more selective about what to protect and when.
Remote and cloud environments pose new challenges, as many organizations consolidate IT resources in a central data center, but lack skilled personnel or, in some cases, dedicated backup infrastructure in remote sites or do not support considering the data protection policies defined by the cloud provider.
While backup performance is always a priority, it’s the recovery that matters at the end of the day (remember, a minute is a minute. It’s constant. But what’s done during that time can be optimized, and even more so in critical situations ). Information recovery is the capability that keeps a business going. For some this may mean recovering an entire environment, for others it may simply require a select group of applications or servers and at least a few select files.
Tackling backup challenges in the Big Data era
Big Data clearly opens up new possibilities for leveraging information as a valuable resource. In many organizations, the assumption is that their backup solution would be a safe haven from which to restore data in the event of a ransomware attack. But you need to be sure of coverage, to ensure business continuity by providing a disaster recovery process designed for today’s corporate IT environments. You should use a comprehensive backup solution that supports the 3-2-1 rule for backup with built-in management and reporting capabilities that ensure your backups are completed on time and within the agreed service level.
Speed, variety and volume are some of the characteristics of big data and one of the key mechanisms to reduce the footprint of big data backups is deduplication. Along with many other backup features, data deduplication remains one of the fastest growing and most important storage optimization techniques. During the deduplication process, duplicate data is removed, leaving only one copy of the data to be archived, thus reducing the consumption of storage space. In addition to reducing power consumption, this also reduces bandwidth consumption.
Another goal of data deduplication is to provide better performance for data-intensive applications by optimizing data access and response times.
Big data challenges are inevitable, and how these challenges are managed could have a significant impact on an organization’s strategic and tactical performance. It is essential that your backup/restore solution can respond to the volume, complexity and diversity of data presented by the big data challenge.
Meeting the needs of big data backup requires both a renewal of our approach and the use of optimization technologies. Also, and unique to data protection, these solutions are unique in covering all data types (source and target), applications, locations, and organizational departments.
In this blog posts, Juan Niekerk goes further by pointing out the points of attention to have when setting up a big data archiving solution. Thanks to him for helping me write this article!