“Big data is being utilised in various industries, including healthcare, e-commerce, government data, public infrastructure, banking and fintech, security, manufacturing, natural resource management, and harnessing, among others, to analyse, process, and parse huge datasets.”
Fremont, CA: Big data analytics is a powerful technology trend transforming a wide range of corporate processes and operations worldwide. As organisations seek more innovative ways to maximise the use of big data, the volume of data is also expanding. Big data is being utilised in various industries, including healthcare, e-commerce, government data, public infrastructure, banking and fintech, security, manufacturing, natural resource management, and harnessing, among others, to analyse, process, and parse huge datasets.
The top big data trends that will shape the digital world in 2022 are as follows:
The Rise in Cloud Migration
Many firms now have hybrid or multi-cloud deployments in today tech-driven world, and in 2022, these enterprises will focus more on transferring their data processing and analytics. They will be able to migrate from one cloud service provider to another without having to worry about lock-in periods or relying on specific point solutions as a result of this.
Predictive analytics anticipates future trends and projections using statistical methods and approaches that leverage past and existing data. Companies may use predictive analytics to make informed decisions that will lead to significant growth and advancement.
AutoML, or automated machine learning, intends to reduce or eliminate the requirement for trained data scientists when developing machine learning and deep learning models. An AutoML system, on the other hand, lets you input labelled training data and obtain an optimal model as an output.
Container-based environments are referred to as cloud-native. Cloud-native technologies create applications packed in containers, delivered as microservices, and maintained on elastic infrastructure using agile DevOps and continuous delivery workflows.
Augmented Consumer Interfaces
Business users who use powerful automated, contextual, mobile and natural language capabilities as part of their analytical process are augmented, consumers. The augmented consumer differs from traditional analytics users in that they do not just rely on traditional dashboards to examine their data.