Top 5 Big Data Technologies Trending In 2021
Big data refers to larger, complex data sets, especially those derived from new data sources. Due to the large volume of these data sets, traditional data processing software are insufficient to manage big data.
This requires the use of software that is specifically designed to analyze, process, and extract information from large and complex data sets. Software of this nature is referred to as big data technologies.
There are two main types of big data technologies; Operational big data technologies and analytical big data technologies. The four fields covered by this software are data storage, mining, analytics, and visualization.
There are several approaches and practices when it comes to big data technologies and you will see how the approaches used by AI service providers change from time to time. In 2021, these are big data technologies trends to look out for.
- Hybrid Cloud
The development of AI technologies has benefitted greatly from cloud computing, with accessibility to data improving significantly. Large data sets can be stored in cloud environments and they act on real-time information.
Hybrid cloud infrastructure has been especially beneficial in this regard. Hybrid cloud is a combination of public and private cloud services from multiple cloud service providers in order to create a single and flexible IT infrastructure. Hybrid cloud is typically a cost-efficient option as well.
Hybrid cloud infrastructure is expected to see increased use in 2021 for enhanced scalability and computational power that will support big data technologies.
- Actionable & Accessible
Merely having a collection of large and complex datasets is not sufficient as it will not have any real impact on a company. Actionable data is what businesses need.
Actionable data refers to information that gives a business meaning and insight that is useful when making business decisions. A business may use data analytics to make a decision to improve its customer service. They can use data to justify getting the services of an AI app development company to create a customer service and chatbot platform, for instance.
In 2021, it is expected that businesses will stop using big data as a mere buzzword and actually use data analytics to make business decisions, improve efficiency and productivity, and plan growth and expansion.
Access is another area that will see increased focus this year. For data to be used, it must be accessible. Storage systems are expected to be more accessible to the tools that analyze data and provide useful visualizations to businesses.
- Data Storytelling
Businesses are not necessarily run by individuals with technical knowledge and expertise. While they can hire IT teams or rely on AI service providers to enhance business operations with the use of technology, business owners must understand data analytics if they are to be used in the decision-making process.
Visualizations are important in this regard but will take on an even more relatable look in 2021. Data storytelling will create stories out of data analysis and findings, making it easier for people to comprehend the insights derived from complex and large data sets.
- Cleaner Data
When working with large sets of data, it is to be expected that some of the data will not useful or accurate. The quality of the data collected will have a significant impact on data retrieval as well as analytics and manually combing through processed data is costly in terms of time and resources.
This is why it is expected that greater focus is drawn to cleaner data in 2021 with artificial intelligence and machine learning technologies used to automate the process of cleansing data.
- Beyond Analytics
AI app and software developers use data to increase the accuracy of the app’s performance. The responses provided by a chatbot, for instance, can be improved by feeding it more data. While the uses of big data are not overlooked, businesses tend to assume that big data is only useful when it comes to analytics.
This is expected to change in 2021, with more businesses realising that big data technologies will be useful in various aspects of business operations, with personnel from different departments using data tools and applications beyond analytics and decision making.
