Industry executives and experts share their predictions for 2022. Read them in this 14th annual VMblog.com series exclusive.
What’s in store for the future of big data?
By Shen Li, SVP, Head of Global Business at PingCAP
Enterprises are expediting their digital transformation implementation strategies. In fact, IDC projects that 75% of companies will have a well-established digital transformation roadmap by 2023. However, in that process, modern enterprises are facing an influx of data that traditional platforms can no longer manage or process. This hampers their data extraction, analysis process and increases their costs.
Looking ahead at 2022, data leaders must determine how they can help the business combat these obstacles and ensure they are prepared for the new, digitally transformed world. Below are a few predictions that we believe will shape the upcoming year:
- Cloud-native databases will find their prime time
The usage spikes of online services during the pandemic, highlighted the fact that traditional database platforms were incapable of keeping up with the surge of data flowing in. In 2022, enterprises will begin to opt for cloud-native databases that can provide them with enhanced agility, reliability, scalability and availability. Implementation of cloud-native databases will become especially prevalent among e-commerce and financial services organizations, as they are required to support numerous customer transactions and rapidly rising data volumes, while also creating new apps to deliver new services.
- Organizations will bet on self-service intelligence
Through the next year, we will see organizations providing self-service intelligence to their line of business users and CMOs. With this intelligence, users will be equipped with a single, real-time view of data that will enable them to make quick, informed decisions on new services. Additionally, they will be able to determine the impact of revisions they make to these new services and how impacts their ROI bottom line. To obtain this, enterprises must adopt an agile data-on-demand model that accommodates hypothetical scenarios. The model will need to be accompanied by a database that can scale quickly, that can seamlessly integrate natively historical/transactional data with real-time analytics and be highly available to address the always-on needs of online organizations.
- Enterprises will look toward intelligent and scalable data extraction
Digital transformation is a top priority for organizations, however many are still dealing with substantial big data challenges, such as the pressing need to retrieve real-time and relevant data at a faster pace and at scale. In 2022, enterprises will progressively move toward cloud-native databases for improved in-cloud data movement efficiency, real-time insights and intelligent data extraction. This will provide them with further data agility, reliability, availability and scalability compared to traditional databases. More leaders will be betting on cloud-native databases to mitigate complexities introduced to their environment by conducting data integration themselves or through third-party data management tools. This will enable them to retrieve data much faster and lower their operational costs, while accelerating their digital transformation efforts and achieving their business goals.
As organizations continue modernizing their operations, equipping themselves with the right data technologies and tools will be crucial to guarantee a successful digital transformation journey. More so in the complex and ever-changing landscape we are living in.
Furthermore, by looking at the above trends, key decision-makers can ensure they are ready to tackle the ever-changing data challenges coming their way.
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ABOUT THE AUTHOR
Shen Li, SVP, Head of Global Business at PingCAP
Shen Li is the VP of Engineering and Tech Lead of the TiDB team at PingCAP. Formerly, he was a senior backend engineer and architect at Netease and Qihoo 360.
