It’s no secret that in the next few years, starting in 2023, the Big Data market will experience a steady and impressive growth. A recent study indicates that this progression should be of the order of 12.8% in 2025. In other words, the Big Data technology is investing many sectors of activity, and will eventually concern the majority, if not all large companies.
These same large enterprises now know that the key, at least where energy must be spent to be more competitive, is in the use of data, not its storage. Companies know that customers want direct and easy contact and a quick transaction. As a result, the customer relationship is understood in a totally different way today and takes on a whole new dimension. From a once conventional relationship, we are witnessing the need for an interactive relationship. So much so that within companies, a position has been specially designed to meet this demand, the Chief Digital Officer. Indeed, it is the whole organization of the company that is rethought and the traditional data warehouse completely reviewed. Thus, thanks to digital technology, the Chief Digital Officer is able to manage in a modern and instantaneous way the gigantic volume of digital data produced by his company and its storage. To do this, he uses analysis tools that are becoming more and more sophisticated. Companies are thus able to respond to their customers in real time, whether the questions concern the offer in general or a complaint. In order to respond to fierce competition, companies are now almost obliged to follow this trend, whatever their sector of activity:
- and now even the public service.
In the field of Big Data, the new techniques for collecting, processing and analyzing data are diverse and numerous. Among them, some stand out and mark the trend for this new year.
The Edge is at the heart of the reorganizations
Big Data is now increasingly affecting the devices themselves or the sensors, which are becoming equipped with all the necessary information to process the request. Thanks to high-performance processors, these sensors become autonomous, without the need to transfer information from other parent infrastructures. The processing from the cloud is therefore accelerated, no data transits through the network, calculations are reduced. It guarantees the user ultra-fast responses and opens up his field of action thanks to the optimization of analytics. It also allows the company to save a lot of money because of the reduction of data transfer.
The Edge is mostly used for mobile applications of banks. This allows the customer a wide range of secure actions. The Edge is also very attractive for the health sector.
The many advantages of the Edge will be in demand in 2023 and will attract large groups of companies.
The rise of the hybrid cloud
Cloud storage, or cloud computing, is the practice of using remote computer servers hosted on the Internet. In the past, companies used a local server or personal computer, which they had to secure and operate themselves.
The Cloud has totally changed this architecture and this way of working.
However, in some industries, the use of the cloud is restricted due to legal or even technical obligations. Some companies, such as regulated industries, cannot place and store their data in a public cloud. Therefore, cloud experts are developing parallel à la carte systems, such as the localized cloud, on-premise cloud, or private cloud, to meet the compelling needs of these specific but numerous enterprises. The Private Cloud, also called Dedicated Cloud, is the most common format among all Clouds. This infrastructure is entirely dedicated to the enterprise. Private servers process all the company’s data and synchronize it on individual users’ workstations. The private cloud can be located internally or in a data center near the company, which becomes the owner of the cloud. These variations of the cloud, also known as on premise because they are hosted and maintained by the company, offer the same benefits as a traditional cloud. Some enterprises may also combine multiple types of clouds (e.g., two or more public clouds, two or more private clouds…).
Cloud developers have also developed hybrid approaches that blend traditional cloud and on-premise cloud. It is clear that this diverse range of hosting and Big Data processing solutions will continue to grow significantly in 2023. It meets the needs of enterprises looking for cost-effective yet powerful solutions that are customized to their needs, be they legal or technical.
The success of Datalake
The Data Lake tolerates and stores all data, regardless of its type or origin, fully preserving its native or near-native format thanks to a flat architecture. This eliminates the need for complex ETL processes. The transformation of the data is transferred to the end users. Datalake has now taken its place within Big Data and is expected to continue to grow.
The rise of DataOps
Big Data is making more and more room for DataOps. The objective of DataOps is to improve the quality of data and reduce the cycle time of their analysis. To achieve this, it integrates agile methodology to shorten the development cycle time, according to the needs of the company. It borrows methods from DevOps, which focuses on continuous data delivery by leveraging business-specific IT resources and automating software deployment. DataOps adds value by improving the analysis, quality and security of data, also combining an iterative method, thus using algorithmics.
DataOps is not tied to any particular technology or framework. It guarantees companies reliability in the processing and confidentiality of their data, especially when it crosses the globe. Big Data continues to see the emergence of DataOps, which is very much in demand by companies seeking to protect their data.
No Big Data without artificial intelligence
This year 2023 will continue to see the emergence of other methods and tools that seek to optimize and secure data in a totally digitalized world. But let’s not forget that the evolution of Big Data also and above all responds to intelligent decision making. These two technologies live in the background. One does not go without the other. This obvious fusion offers many benefits, including optimizing productivity or obtaining more intelligent business processes.
The union of Big Data and artificial intelligence is therefore indispensable and even inevitable, especially concerning the Internet of Things. Indeed, any natural object or object imagined by a human being to which an IP address and digital data are attached is the representation of the fusion of artificial intelligence and Big Data. Behind each digital idea is a need and an idea from the human being.
These two disciplines allow a real awareness of data volumes and their specificities.
As you can see, the Big Data market will continue to grow and even increase in power, with, we remind you, an increase of nearly 13% in 2025!
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