A few days ago, Ocient, a leading company in hyperscale data analysis solutions, published a groundbreaking report titled Beyond Big Data: The Rise of Hyperscale. These are the results of a survey of 500 data management and technology leaders from various industries around the world, but whose common denominator is managing active data loads of 150 terabytes or more.
The report attempts to find out what are the new trends in the sector and how they are managing the path towards handling more massive data. We are talking about trillions of data records that represent both a technical and business challenge.
The first finding is of economic order: hyperscale data management is closely linked to financial success. This was stated by 85% of the respondents, for whom there is a strong correlation between the implementation of a rapid data analysis strategy and the growth of the company’s business.
But the need for this type of strategy is not only tied to economics. Plus, in many cases, it’s about survival. Data handling workloads are getting bigger, faster and more complex. For the 97% of experts consulted by Ocient, the amount of data their organization manages will grow exponentially in just five years.
This leads us to the next issue discovered by Ocient: that existing systems are not designed to handle hyperscale data analytics. Not surprisingly, then, about 60% of respondents indicated their intention to revise their data storage solutions, while 46% said the very slow pace of that legacy system is prompting them to change.
As with all technological changes in the beginning, it also brings with it some doubts. For transitioning to hyperscale data analytics, security and performance are among the top concerns: 73 percent of surveyed professionals said maintaining these two issues is the biggest challenge when scaling up the volume of data and analytics to hyperscale. Hyperscale workloads. This is no trivial percentage at which many companies offering these services must operate.
Finally, the Ocient report focuses on another recurring challenge every time a new technology or trend appears: a shortage of qualified personnel. For 49% of those surveyed, a lack of talent in hyperscale data analysis is the main challenge. Although the trend indicates that these gaps are being bridged, everything indicates that this may still be the case for a few years, until now a trend itself is a natural part of any business strategy. does not apply.
Despite all of these factors that we analyzed, hyperscale data analysis is presented as an essential component to future success: it is a resource that improves decision-making and planning at the business level. and strategy is essential. It is that levels of agility and development that were only in imagination yesterday are beginning to become a reality today.