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June 20 HP released Vertica Analytics Platform version 5.0, the latest edition will be combined with HP's own hardware products. HP acquired Vertica earlier this year, which will help HP play a key role in the growing number of data markets. Vertica is based on column storage. The design based on column storage has great advantage over traditional row-oriented storage database. At the same time Vertica support MPP (massively parallel processin ...

Logminer is an actual, useful analysis tool that Oracle has provided since 8i, which makes it easy to obtain specific content in Oracle Redo log files (archived log files), Logminer analysis tools are actually made up of a set of PL SQL package and a number of dynamic views that can be used to analyze online logs and archive logs to obtain a database of past detailed, specific operations, very useful. Why do you use Logminer? Mainly for the following reasons: When the database has been mistakenly operated, need not be completed ...

Logminer is an actual, useful analysis tool that Oracle has provided since 8i, which makes it easy to obtain specific content in Oracle Redo log files (archived log files), Logminer analysis tools are actually made up of a set of PL 　　SQL package and a number of dynamic views that can be used to analyze online logs and archive logs to obtain a database of past detailed, specific operations, very useful. 　　Why do you use Logminer? Mainly for the following reasons: When the database occurs ...

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have. 　　This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

hive is a Hadoop-based data warehouse tool that maps structured data files to a database table and provides full sql query capabilities to convert sql statements to MapReduce jobs. The advantage is low learning costs, you can quickly achieve simple MapReduce statistics through class SQL statements, without having to develop a dedicated MapReduce application, is very suitable for statistical analysis of data warehouse. Hadoop is a storage computing framework, mainly consists of two parts: 1, storage (...

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. In Java? The programming language writes the complex MapReduce program to be time-consuming, the good resources and the specialized knowledge, this is the most enterprise does not have. 　　This is why building a database with tools such as Hive on Hadoop can be a powerful solution. If a company does not have the resources to build a complex ...

In large data technology, Apache Hadoop and MapReduce are the most user-focused. But it's not easy to manage a Hadoop Distributed file system, or to write MapReduce tasks in Java. 　　 　　Then Apache hive may help you solve the problem. The Hive Data Warehouse tool is also a project of the Apache Foundation, one of the key components of the Hadoop ecosystem, which provides contextual query statements, i.e. hive queries ...

The big data has become the next hot spot for technologies such as cloud computing, and the industry is bullish on the prospect of a big data industry, which will be the next gold mine and will be the next frontier in innovation, competition and production. Recently, the China Institute of Communications, a large data expert committee was established in Beijing, the organization is led by the China Institute of Communications, China's first specialized research on large data applications and development of the academic advisory body. Zhaomeizhong, Deputy Secretary-General of China Communications Society, Song Neqi, Deputy Secretary-General attended the founding of the General Assembly, the Institute of Computing Technology, the United States Purdue University, Tsinghua University, China Telecom Guangzhou Institute, Baidu 、...

According to the IDC survey, global data volumes reached 1.2ZB at the end of 2010. By 2020, global electronic devices will have a 30 times-fold increase in data storage, up to 35ZB (equivalent to 1 billion 1TB of hard disk capacity). But for the prepared enterprise this is undoubtedly an information gold mine, with the progress of data mining technology, valuable information will become easy to obtain. With the advent of the large data age, data storage, data mining, and processing and analysis of large data-related technologies are more concerned than ever. Big data is becoming the cornerstone of enterprise development, and gradually ...

Recently, we've heard too much about "big data", lots of new apps, about Hadoop, NoSQL and a variety of new analytics software. 　　I recently spent a lot of time talking to people and thinking about these trends, and finally convinced that the huge changes we've seen, including the data we've collected, and how we're going to deal with that data for individuals, companies and societies. What the organization should do with the data, how to translate the raw data into the information used to make decisions, we are only in the early stages of full reflection. However, I also believe that the term "big data" ...