Five major trends in predicting future inventory data analysis

At present, large data analysis is a very popular industry, one night, it seems that the company's data has been invaluable. Enterprises are beginning to try to use large data to enhance their business competitiveness, but for large data analysis industry, is still at the beginning of rapid development, this is a rapid development of the field, every moment of the new changes. Recently we have looked at 8 trends in the future of the big data industry.

1. Large data analysis based on cloud

Hadoop is a framework and a set of tools for working with large datasets, which were originally designed to work on a cluster of physical machines, but this has now changed, with more and more cloud-based Data processor technologies emerging, such as Amazon's hosting of cloud data bi, Google BigQuery Data Analysis Services, IBM's Bluemix Yunping and so on, these are based on the cloud of large data analysis platform.

For now, the analysis of large data is beginning to migrate to cloud computing, because large data analysis requires a secure, stable and reliable audit environment. Many companies are already working with cloud services to get a cloud platform across multiple departments to support the company's data analysis business. This trend will become more apparent as the cost of the cloud platform is reduced.

2. Hadoop: New Enterprise Data operating system

Hadoop, the Distributed Analytics framework, is now evolving into a distributed resource manager that may be a common operating system for data analysis. With these systems, you can insert different data manipulation and analysis operations into a Hadoop distributed storage system for execution.

What does that mean? Because of Sql,mapreduce, in-memory, streaming, graphic analysis and other types of workloads can have enough performance on Hadoop to run, and more and more enterprises will use Hadoop as an enterprise data center.

3. More predictive analysis

With the development of large data, analysts will not only be able to work with more data, but will also handle a large number of tools for many attributes. But with the development of the big Data industry, the analysis of the old data is more to provide the function of the prediction, after all, people would like to use the original data to produce beneficial use for the future.

4. More, better NoSQL

Products that replace the traditional sql-based relational database are called NoSQL databases and are now rapidly being popularized in specific types of analytics applications. And this momentum continues to grow, and it is estimated that there will be 15 to 20 open source NoSQL databases in the future, with their respective expertise, and these databases will develop rapidly.

5. In memory analysis

Using a memory database to speed up analysis processing is becoming more popular today, and many users like it, and many of these are based on memory analysis and management tools, especially in the Amazon Hana.

In addition to the analysis software bullish on the market, as the global enterprise-level market processor manufacturers, Intel is also very optimistic about this area of development, from the current trend of its products, the development of its memory support will be more and more, some specific products even support than the size of the hard disk.

Summary: Data analysis is a hot industry, which is also a big development in the future industry, so many manufacturers are currently in the field of large data analysis to launch products, but for enterprise users, in the selection of products to pay attention, because the current data analysis has not reached the mature market period, So the market analysis tools are uneven, in the choice of products or to choose well-known brands as well.

(Responsible editor: Mengyishan)