Big data is an important part of the Xinhua 3 strategic system. Yu Yingtao, president and CEO of Xinhua Group, pointed out that the core of the digital economy is data, and big data is the key means to drive data to create value. As an important part of the new IT strategy of "application-driven, cloud-led future".
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 ...
This content contributor, Lee Feinberg, is the founder of the US Management consulting agency Decisionviz, a bachelor and Master's degree from Cornell University in the United States and a patent for the U.S. PC telephone interface, and is a member of the Cornell Entrepreneur Network and the Sandler Sales Institute. Decisionviz is a consulting firm that helps companies get rid of complex data-reporting problems through visualization technology. Lee is often invited to speak, and he is also the founder of the Tableau Software user group in the York. As early as ten years ...
As we all know, the big data wave is gradually sweeping all corners of the globe. And Hadoop is the source of the Storm's power. There's been a lot of talk about Hadoop, and the interest in using Hadoop to handle large datasets seems to be growing. Today, Microsoft has put Hadoop at the heart of its big data strategy. The reason for Microsoft's move is to fancy the potential of Hadoop, which has become the standard for distributed data processing in large data areas. By integrating Hadoop technology, Microso ...
A few months ago, the team invited me to do an internal sharing, the topic is how to effectively search for information. This is because I usually share some professional study documents in my daily work, and these documents often appear in time, so we will be curious about how I can find such professional and timely reference materials in a timely manner. In fact, some of these information from the Internet search, but some are from my "personal database", which is divided into categories, easy to retrieve, so it is easy to turn out to show people. This is what I think is common sense, but after a simple sharing was well received. By the drum ...
Managing and maintaining storage is expensive, not to mention the growing need for more hard disk space. By using data storage based on cloud computing, business owners can leverage more attractive prices and consistently reduced costs while integrating a variety of new features from different vendors. Cloud services, as cloud computing or cloud storage, can be valuable assets for cost-sensitive SMEs. Although some of the larger organizations have the resources to build their own cloud storage services, small and medium-size enterprises often need to turn to some cloud storage providers for Internet-accessible storage ...
How to build corporate security? Enterprise security vulnerability notification engine. Today, most enterprises are using Vulnerability Scanning + Vulnerability Bulletin, which has the following two problems: 1. There is a problem of "long scan cycle, less timely update of scan library" in the case of missed scan, and there are numerous interference items in the scan report, Sweep reports about equal to "loopholes piling up information", may not really useful a few, and allow Party A operation and maintenance personnel to find useful information, it is unusually time-consuming. 2. Security vendor's vulnerability notice is "only notice, the specific impact of that server, operation and maintenance to find it." From the above two pain points, we ...
The year of "Big Data" for cloud computing, a major event for Amazon, Google, Heroku, IBM and Microsoft, has been widely publicized as a big story. However, in public cloud computing, which provider offers the most complete Apache Hadoop implementation, it is not really widely known. With the platform as a service (PaaS) cloud computing model as the enterprise's Data Warehouse application solution by more and more enterprises to adopt, Apache Hadoop and HDFs, mapr ...
Apache Hadoop and MapReduce attract a large number of large data analysis experts and business intelligence experts. However, a wide range of Hadoop decentralized file systems, or the ability to write or execute mapreduce in the Java language, requires truly rigorous software development techniques. Apache Hive will be the only solution. The Apache Software Foundation Engineering Hive's database component, is also based on the cloud Hadoop ecosystem, provides the context based query statement called Hive query statement. This set of ...
The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...
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