At present, big data technology and services are indeed the focus of attention in industries with record utilization rates. However, Gartner's big data facts and data show that only 73% of all organizations are planning and investing in big data. However, they are still in the embryonic stage of big data adoption.
Myth 2: Big data depends entirely on scale.
There are five characteristics of big data: quantity, speed, diversity, accuracy and value. Although processing a large amount of data is one of the main features of big data, quantity is only the main defining feature of big data. In addition, other functions of data are equally important.
Myth 3: Big data can predict everything in the future of an enterprise.
Analysis can use big data to predict trends, but it is not data that drives business development. Enterprises have many factors, such as economy, human resources, technology and so on. Therefore, when it comes to predicting the future of business, you can't predict something through data.
Myth 4: Big data means big budget, which is suitable for big companies.
We have seen organizations such as multinational corporations and government agencies invest heavily in building large-scale data centers and high-end technologies to implement big data. Not only that, it is also very expensive to hire skilled big data professionals and data scientists, because market resources are tight and their demand is high.
Myth 5: The concept of machine learning is related to big data.
Machine learning often processes big data. However, the basic concept of machine learning is to use these data to model the underlying process in order to make better use of it. In addition, machine learning is completely based on machine learning algorithms, which can parse data sets and then make meaningful decisions by applying what they have learned.
About the misunderstanding of big data and how to get started, Ivy Bian Xiao is here to share with you. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.