Big Data Literature Review in EnglishThe development and tendency of Big Data Tang Xia Guilin University of electronic technology electronic engineering and automation Guilin Abstract "Big Data&q

l have invested heavily in big data technology and have developed their own big data products, such as EMC Greenplum, HP Vertica, IBM InfoSphere BigInsights, and Microsoft HDInsight [2].

3 The status quo of big data Currently, big data technology has been widely used in various fields such as finance, transportation, healthcare, and education. The application of big data technology enables companies and organizations to analyze large amounts of data and extract valuable information, which can help them make better decisions and improve their services.

However, there are also some challenges and issues with big data technology. One of the biggest challenges is data privacy and security. With the increasing amount of data being collected, processed and stored, it is becoming more difficult to ensure the privacy and security of personal information. In addition, the quality of the data is also a major concern, as the accuracy and completeness of the data can affect the effectiveness of the analysis.

4 The tendency of big data The trend of big data in the future is to move towards more intelligent and automated data analysis. Artificial intelligence and machine learning will play an increasingly important role in big data analysis, enabling computers to learn from the data and make more accurate predictions.

Another trend is the integration of big data with other emerging technologies, such as the Internet of Things (IoT) and blockchain. The combination of these technologies can create new opportunities for data analysis and management, as well as providing more secure and transparent data transactions.

In conclusion, big data is a rapidly developing technology that has the potential to revolutionize many areas of our lives. However, it also presents challenges and issues that need to be addressed. The future of big data will be shaped by the integration with other emerging technologies and the development of more intelligent and automated data analysis