Top Trends for Big Data in 2022
Today, business and private sectors are undergoing a massive shift towards digitalization. And with expected annual revenue of $68.09 billion by 2025, big data will continue to be at the core of this digitization, affecting business decisions and pushing the limits of technology.
In line with this, new tools emerge daily to ensure that we can access data easily, store it safely, and process it quickly. Ultimately, there’s no doubt that these significant data trends will make working in the big data space exciting in 2022 and the future.
Thus, in today’s post, I will outline five Big Data Trends dominating 2022.
Data as a Service
The trend toward Data as a Service (DaaS) is one of the latest developments in big data analytics. DaaS allows analysts to access data for business review activities easily and enables sharing of data between departments within a company or industry.
Traditionally, data has always been stored in stores designed to be accessed only by specific applications. However, with Data as a Service, you can now collect data from various sources and process and deliver them in different formats, thanks to cloud technology.
In addition, DaaS helps organizations gain economies of scale on infrastructure investment. It also provides more opportunities for sharing data across the organization, leading to more collaboration and knowledge sharing. With these many benefits, we can expect to hear more about it this year.
It’s no secret that Data Fabric has been a big trend for a while now, and I believe its relevance will continue to grow. This is primarily because data fabric enables frictionless access and sharing of data in a distributed data environment, making data management and processing more manageable and efficient.
Data fabric consists of key data management technologies, including data pipelining, data integration, and data governance. Moreover, it is becoming increasingly popular because it takes less time to retrieve business insights and makes it possible for companies to cope with the growing demand for data management solutions.
Cloud technology has been in trend for a while now and is the next level of technology. In today’s digital world, businesses are shifting towards cloud technologies as it is very beneficial in terms of the performance, velocity, and scalability of any operation, especially when heavy traffic. The fact is, moving towards the cloud has several benefits and not only for businesses but also for individuals who rely on cloud technology services for communication, storage, social networking, etc.
The hybrid cloud is well-known for agility. Since your enterprise might want (or need) to gain a competitive advantage in the market, it can achieve this by combining private and public clouds with on-premises resources to build a hybrid cloud. Most forward-thinking companies now go for hybrid clouds because they understand that not everything belongs in a public cloud. A hybrid cloud offers greater flexibility and additional data deployment options by transferring operations between private and public clouds.
As more people continue to work remotely even after the pandemic, cyber attackers are becoming more determined to find new and sophisticated ways to attack. Naturally, therefore, it becomes a huge concern for companies who need to protect their company data from external attacks.
The cyber security sector is working hard to create and introduce innovative products that can help detect cyber-attacks. Such products include XDR (Extended Detection and Response) and SOAR, which were trained to detect potential cyber-attacks by applying advanced security analytics to company networks. Therefore, we expect cybersecurity to continue as a leading trend in big data and analytics this year.
With Big Data continuing to help businesses improve customer experience, revenue, and efficiency, new techniques for interpreting and managing these volumes of data will keep emerging.
By using big data, companies can easily optimize operations, improve visibility into rapidly changing environments, and optimize products and services for their customers.
Do you agree with me on these trends? Leave a comment below about the other big data trends you believe will impact 2022.