Author: Haoyuan Li
More businesses will progress their data revolution strategy by operating a larger range of workloads on a wider range of platforms, including cloud and hybrid clouds. AI, machine learning, and analytic workloads, as well as the technology and services that enable them, will witness even more advancements in 2022. The following are the primary trends that govern 2022 data predictions.
Author: Haoyuan Li
As the operational toolset continues to grow and ease cloud migrations, we’ve already seen a hybrid-cloud approach with several data centers and public cloud providers emerge as the standard for major companies. Organizations will expand their digital footprint in 2022 by adopting the hybrid and multi-cloud architecture to benefit from cloud elasticity and agility while keeping tight control over their data. Because enterprises do not want to be locked-in, cloud suppliers will continue to innovate and compete with distinct capabilities in network connection and physical infrastructure enhancements.
Mainstream AI and Deep Learning
Machine learning and deep learning platforms have reached the mainstream and will reach the same degree of maturity as specialist data analytics as the AI toolkit continues to improve. Vertical integrations based on PyTorch and Tensorflow will emerge in 2022, just as we are seeing now with a multitude of fully integrated managed services based on Apache Spark and Presto. MLOps for pipeline automation and management will become indispensable, decreasing the hurdles to AI and machine learning adoption even more.Services for Everything
Hadoop’s on-premises death was due to operational complexity. Cloud services provide easy infrastructure provisioning flexibility with low operating expenses. Managed services will develop in 2022, not just for cloud settings, but also for hybrid-cloud and on-premises installations, to reduce the difficulty of integrating a wide range of components such as data catalogs, data governance, computational frameworks, visualization, and notebooks.Data Sharing Across the Cloud
Improved governance and management with a data fabric spanning different services will come to the rescue in 2022, since SaaS and managed cloud services create data silos. Data interchange will be easier than ever before thanks to the efficient and secure sharing of data among tenants and numerous service providers.Rise of Table Formats for Data Lakes
Both the storage and computation layers of the new stack continue to innovate. Structured data is moving to new forms, and Data Lakes are gaining traction. In cloud-native settings in 2022, open-source projects like Apache Iceberg or Apache Hudi will replace more typical Hive warehouses, allowing Presto and Spark workloads to execute more effectively on a massive scale.
