Analytics Framework Open Source

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

Open Source: Helios Mobile application back-end service framework published in 2013-04-07 11:20| Times Read | SOURCE csdn| 0 Reviews | Author Zhang Helios Open source back-end service http://www.aliyun.com/zixun/aggregation/13435.html "> Development Framework GitHub Mobile Development summary: Helios allows developers in a few minutes , configure the application and service side of the connection, let mobile ...

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day. 　　Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. 　　More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. The same year with ...

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations? 　　Don't worry, this little book from the Wikibon community wants to help you. 　　Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. And go ...

Malware analysis, penetration testing, and computer forensics - GitHub hosts a host of compelling security tools that address the real needs of computing environments of all sizes. As the cornerstone of open source development, "all holes are superficial" has become a well-known principle or even a credo. As widely known as Linus's law, the theory that open code can improve the efficiency of project vulnerability detection is also widely accepted by IT professionals when discussing the security benefits of the open source model. Now, with the popularity of GitHub ...

Some financial analysts questioned Teradata's ability to continue its growth in the IT market. While this segment of customers does put Hadoop on the agenda, customers often choose to give up only if data warehouse vendors with decades of experience find it difficult. "What's more important is to get rid of the misunderstanding of speculation rather than make a compromise at the level of reality," Scott Gnau, president of Teradata Labs, pointed out in a recent interview - the focus of this interview was to explore open source Hadoop from a historical perspective ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

With the maturity of large data and predictive analysis, the advantage of open source as the biggest contributor to the underlying technology licensing solution is becoming more and more obvious. Now, from small start-ups to industry giants, vendors of all sizes are using open source to handle large data and run predictive analytics. 　　With the help of open source and cloud computing technology, startups can even compete with big vendors in many ways. 　　Here are some of the top open source tools for large data, grouped into four areas: data storage, development platforms, development tools, and integration, analysis, and reporting tools. Data storage: Apache H ...