How to escape the big data dilemma? Open source or critical means

The data now is no longer uniform in rows and columns, but is stacked massively in the database in unstructured form. Companies create, collect, access, share, and analyze these different types of data to improve business performance. The business intelligence once used for data analysis no longer applies to the current heterogeneous http://www.aliyun.com/zixun/aggregation/18278.html > Data types, including e-mail, word processing documents, Collaborative web sites and machine generated data.

At the same time, cumbersome and expensive proprietary enterprise search products cannot handle existing structured data storage and can not measure the scale and speed of data in a cost-effective manner. Now our goal is to find a solution that can search, discover, and analyze all of the data stores (SDA), and many companies are trying to find Open-source search-functional applications, such as Apache SOLR, and large data solutions such as Apache Hadoop, Ability to provide them with timely and cost-effective access to and insight into the growing data overall.

Data status

Companies need data analysis more than ever before, but the nature of the data has changed. Not long ago, the data companies needed to analyze were mainly in structured databases and spreadsheets. But in the past few years, everything has changed. We are now increasingly (and sometimes completely) dependent on digital forms of communication. In addition to electronic documents, we also have emails, text messages, blogs and comments, interactive Web sites (including wikis and other collaborative sites and databases, etc.).

Then there is the data generated by the machine. Your car, cell phone, and watt-hour meter are generating data, and soon your fridge and coffee machine will start generating data. In fact, each interaction between human and digital data is ripe enough to be captured and analyzed, and the information is not neat, but the information is extremely valuable. Current Enterprise search solutions provide insight into this unstructured data, but they do not measure well, and they do not provide the analysis necessary for structured and unstructured data.

The need for implementation and measurement analysis and the use of hoc access capabilities is compelling. To remain flexible and competitive, employees must be able to perform faster and more powerful searches to provide better insight into data, enabling them to discover connections in previously hidden or inaccessible data.

Many companies are becoming more interested in the interaction between users and the data ocean (not just raw data) because they believe that the analysis of these interactions can help them better respond to customers, understand business and customer trends more quickly, and make better business decisions. This is often the time when the word "big data" is recognized by most businesses.

In terms of operations, businesses need to ensure that they successfully harness increasingly complex legal, regulatory and compliance environments. This requires the ability of the enterprise to identify, store, search, and generate related files. Without a search and discovery tool that can effectively analyze content, the budget will be overwhelmed and the business will gradually lose its insight into the true nature of employees ' and customers ' sense of business.

(Responsible editor: The good of the Legacy)