The Top Big Data Trends to Watch Out For in 2021
Big data has been changing the way businesses operate, and it’s no surprise that it will continue to do so in 2021. With the increasing amount of data being generated every day, companies are turning to big data analytics to help them make informed decisions and stay ahead of the competition. In this article, we’ll look at the top big data trends to watch out for in 2021.
Trend #1: Augmented Analytics
Augmented analytics is all about using artificial intelligence (AI) and machine learning (ML) to automate the process of data preparation, analysis, and prediction. With augmented analytics, businesses can save time and resources while gaining insights that were previously not possible.
An example of augmented analytics in action is when a company uses machine learning algorithms to analyze customer data and predict future buying behavior. This information can then be used to tailor marketing campaigns and improve customer satisfaction.
Trend #2: Cloud-Based Big Data Analytics
As more and more businesses move their operations to the cloud, it’s no surprise that big data analytics is also going in the same direction. Cloud-based big data analytics offers several advantages over traditional on-premise solutions, including lower costs, better scalability, and greater flexibility.
For example, a startup can use cloud-based big data analytics to store and analyze user data without having to invest in expensive hardware and software. This can help them get insights that they would not have been able to afford otherwise.
Trend #3: Data Governance and Compliance
With the increasing amount of data being collected and analyzed, it’s more important than ever to have proper data governance and compliance in place. This involves having policies, procedures, and tools to manage data throughout its lifecycle.
For example, a healthcare organization may have to comply with regulations such as HIPAA when storing and analyzing patient data. Having proper data governance and compliance measures in place can help them avoid legal and financial problems down the road.
Trend #4: DataOps
DataOps is all about making the process of building, testing, and deploying big data applications more efficient and effective. This involves using methodologies and tools from DevOps to streamline the data pipeline.
For example, a financial institution can use DataOps to automate the process of collecting and analyzing market data. This can help them make quicker decisions and gain a competitive advantage.
Trend #5: Edge Computing
Edge computing involves processing data closer to the source rather than sending it to a central location for analysis. This can help reduce latency and improve overall performance.
For example, a manufacturing plant can use edge computing to monitor the performance of their machines in real-time. This can help them detect issues early and avoid costly downtime.
Conclusion
In conclusion, big data analytics will continue to be a game-changer in 2021. Businesses will need to keep up with the latest trends to stay ahead of the curve. Whether it’s using augmented analytics, cloud-based solutions, data governance and compliance, DataOps, or edge computing, there’s no doubt that big data will play a crucial role in shaping the future of business.
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