Top 5 Big Data Trends to Watch Out for in 2019
Big data has revolutionized the way organizations are operating and is transforming multiple industries. The advancements are extraordinary, and keeping up with the latest trends is crucial for businesses to remain competitive in a data-driven world. This article explores the top 5 big data trends to watch out for in 2019.
A Rise in Edge Computing
Edge computing is expected to rise in prominence as organizations collect more data from various sources. Edge computing refers to the process of analyzing data near the source instead of processing it in a centralized data center. It reduces data transmission times and is beneficial for applications that are sensitive to real-time data transmission lag. With edge computing, organizations have the potential to process data as soon as it’s generated, leading to more accurate and quicker decisions.
Data Science Automation is the Future
As data science continues to evolve, it’s apparent that the future is all about automation. Automation of data cleaning, wrangling, and analysis is crucial in increasing business productivity and insights. Automating repetitive tasks can help to reduce the time and resources spent in processing data, ultimately leading to quicker and higher quality decisions. As a result, we can expect to see automation technology rapidly rise and become an integral part of data science.
Interpretability and Explainability of Models
Interpretability and explainability of models are significant in the world of big data. Organizations need to understand why certain results are being generated by their models and algorithms. It’s not enough to know the result; they need to understand how the model came up with the answer. This issue has gained more attention in recent years, with developers starting to incorporate interpretability into their algorithms. Interestingly, researchers are already working on developing interpretable deep learning models, which is a fascinating area to watch out for in 2019.
Blockchain and Big Data Collaboration
Blockchain technology has the potential to revolutionize the big data industry. Blockchain technology provides a secure and transparent way to store and transfer data to various parties. It can be used to store large amounts of data securely and reduce the chances of fraud, data tampering, and hacking. The blockchain can securely store sensitive data such as financial transactions, health records, and more. We will see a rise in blockchain applications in the big data industry as more developers realize its potential.
Increased Adoption of Hybrid Cloud Services
The cloud has become an essential part of big data technology. With the increasing amount of data being generated, organizations need an efficient way to store and process it. Hybrid cloud services provide an efficient solution. Hybrid cloud refers to the combination of public and private clouds. Data that is not suitable for the public cloud can be stored in a private cloud, while data that requires a more extensive computing infrastructure can be stored in the public cloud. Hybrid cloud services provide businesses with greater flexibility and scalability while also offering cost savings and data security.
Conclusion
In conclusion, the big data trends outlined above are just a few of the many advancements we will see in 2019. The rise of edge computing, automation of data science, interpretability of models, blockchain technology collaboration, and the adoption of hybrid cloud services are set to transform the way businesses operate. Organizations that successfully incorporate these trends into their operations will be more agile and make better decisions than their competitors.
