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Cover image for Top 5 Data Management Trends for 2019

Top 5 Data Management Trends for 2019

shameemreza profile image Shameem Reza ・4 min read

Since the way we consume and interact with the data changes daily, we also have a considerable number of innovations to improve the agility of the companies and their operational efficiency. With the EMEA market in mind, I have highlighted the following 5 relevant trends that decision makers must know in 2019:

1. It will increase the use of multi-cloud environments

A report by McKinsey & Company has shown that the flow of data to Asia is up to 45 times higher than in 2005. Data from key regions such as North America and Europe have grown considerably from 5,000 to 20,000 Gbps and 1,000 to 5,000 Gbps respectively. Based on the original figures of 100-500 Gbps and less than 50 Gbps in 2005.

With companies that operate beyond their borders and being more technology-dependent than ever. It is practically inevitable to expand the use of the multi- cloud IDC estimates that customers will spend $554 billion on cloud computing and related services in 2021, more than double that of 2016.

On-premises data and applications will not become obsolete, but data deployment models will increase by mixing each Once again the option on premise (own data center), software as a service (SaaS), infrastructure as a service (IaaS), managed clouds and private clouds.

2. The shortage of flash memory supply and prices will improve in 2019

According to a Gartner report from October 2018, it is expected that there will be a slight shortage of supply shortages in flash memory by mid-2019 and that prices will be stabilized to a large extent thanks to the increase in the production of memory in China.

Greater supply and improved pricing will mean that flash deployment will be used more in the field of operational recovery, where the fourteen most recent days of backup and replication data are normally hosted.

In my opinion, this increased flash capacity will result in an increased use of instantaneous mounting of backup machine images (or copy data management).

Systems that offer the copy data management (CDM) function can provide value beyond availability, as well as better commercial results. Some of the practical examples of use to take advantage of the backup and replication data are: DevOps, DevSecOps and DevTest, Patch Testing, Analytics and Reporting (testing, analysis and generation of patch reports).

3. Predictive analysis will become widespread and standard

Forecasts indicate that the predictive analytics market will reach 12,410 million dollars in 2022, which will mean an increase of 272% since 2017, with a compound annual growth rate of 22.1%.

Specifically, the Asia-Pacific market (APAC) is expected to register the highest compound annual growth rate during the period of this forecast.

The predictive analysis based on telemetry data, essentially advice and recommendations driven by machine learning (ML or machine learning), is one of the categories that surely becomes generalized and the norm.

4. The "versatile" (or generalist) function will become the new operating model for most IT companies

While the first two trends focused on technological aspects, the future of digital remains analog: people.

If we combine the talent shortage with new infrastructure and on the verge of collapse on premises, the public cloud + software as a service (SaaS), we will find that specialists with experience in a wide range of disciplines are needed, who also have to know better the business.

For example, the labor market of information technology (IT) in Singapore continues to register high levels of recruitment.

a. Frustration with traditional backup approaches and solutions

The three main suppliers in the sector will continue to lose market share in 2019. In fact, the largest supplier in the sector has been losing market share for ten years.

Companies are leaving aside traditional suppliers and prefer more agile, disruptive and dynamic options that offer them the functions they need to grow in the data-driven era.

A Cognizant report noted that 82% of leaders of companies in the Asia-Pacific (APAC) believe that the future of work lies in smart machines.

b. The critical points of the three C's: Cost, complexity and capacity

These three C's are still the reason why those who work with data centers are not happy with the solutions of other providers.

In general, the costs are excessive, it is unnecessarily complex and lacks sufficient capacity, which affects the speed of backup, restoration or instantaneous mounting to a virtual machine image.

These three key criteria will continue to be the main reasons why companies increase or completely replace their backup solutions.

5. The arrival of the first 5G networks will create new opportunities for distributors and cloud service providers (CSPs) to collect, manage, store and process the largest possible volume of data.

The 5G will be adopted quickly for machine-to-machine communication and for Internet of Things (IoT) technology. The mobile consumer network has reached a point where it is likely that 4G speed is fast enough to meet the needs of most consumers.

2019 will focus more on the standardization and generalized testing of technology.

On devices designed for the future capable of guaranteeing that they are compatible with technology when available and in Europe converted into a genuine "Gigabit Society".

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