As Internet technology matures, all types of data growth will go beyond any period in history. Big data analysis techniques and tools are essential for users to extract their useful information from this huge database. The Big Data Business intelligence platform is a revolutionary business intelligence tool that searches for business intelligence, analyzes the past, monitors the present, predicts the future, instantly discovers business, and makes smarter decisions. Ethink Big Data Business intelligence platform provides a one-stop data storage platform and one-stop management platform that can connect various databases or distributed databases, and support connectivity and access to a variety of big data storage platforms, merging, searching, visualizing and analyzing data. By providing customers with one-stop storage and management services, we help customers to face the rapid growth of data and the risk of uncertain demand for storage of business systems, thereby reducing the customer TCO and meeting the needs of business growth and change.
First, the Platform functional architecture
1) Data connection
Supports multiple data sources and supports multiple big data platforms
2) Embedded one-stop data storage platform
Ethink embedded Hadoop,spark,hbase,impala and other big data platform, directly use
3) Visualization of Big Data
Data visualization, can achieve decision support, financial analysis, early warning analysis, dashboards, performance analysis, business analysis and other types of data analysis applications.
4) Self-Service interactive analysis
Provide a series of analysis and statistical analysis platform for big data, such as ad hoc query, interactive statistic analysis, multidimensional analysis and so on.
Second, the establishment of big data analysis platform, choose to achieve a number of representative methods can be.
Of course, not only to consider the accuracy of the forecast, but also to consider learning efficiency, development costs, model readability and other factors. The Big data analytics platform is important, and requires a team of engineers and analysts who can gain insight into application issues and use analytics tools with ease. Big data analytics can be really powerful only if you have a good tool to work with.
Big Data analytics Tools