Apache Web Analytics

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.

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 ...

Large data is one of the most active topics in the IT field today. 　　There is no better place to learn about the latest developments in big data than the Hadoop Summit 2013 held in San Jose recently. More than 60 big data companies are involved, including well-known vendors like Intel and Salesforce.com, and startups like SQRRL and Platfora. Here are 13 new or enhanced large data products presented at the summit. 1. Continuuity Development Public ...

The Windows http://www.aliyun.com/zixun/aggregation/13357.html >azure Web site (waws) allows you to build a highly scalable web site on Windows Azure. The advantages of waws are outlined below: • Effective resource utilization: As the customer base grows, so does your application usage. You can aggressively scale your site based on the traffic patterns of your site. • Cost based on usage rates ...

How to maximize the value of the page on the top of the sheet metal, is the topic that every website designer cares about most. User-focused page length and width are limited. Width from needless to say, the general site will be based on their own site to the maximum user base of the hardware conditions to set the length, although there is no limit, but few users have the patience to read too long pages. This limited area is equivalent to a supermarket, page content is equivalent to goods, the supermarket to decide how to place the goods, you need to know the value of each category of goods can bring, and then integrated and coordinated placement, so that the overall benefit maximization. The supermarket is weighing the price of goods ...

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 ...

What are the most reliable Web application monitoring programs? What criteria should we use to compare? First consider whether you want to solve one or more of the following problems: 498) this.width=498 ' OnMouseWheel = ' javascript:return big ( This) "border=" 0 "alt=" How to select the standard Web application monitoring tool "src=" http://s9.51c ...

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 ...

Guide: Yahoo CTO raymie Stata is a key figure in leading a massive data analysis engine. IBM and Hadoop are focusing more on massive amounts of data, and massive amounts of data are subtly altering businesses and IT departments. An increasing number of large enterprise datasets and all the technologies needed to create them, including storage, networking, analytics, archiving, and retrieval, are considered massive data. This vast amount of information directly drives the development of storage, servers, and security. It also brings a series of problems to the IT department that must be addressed. Information...

Analysis is the core of all enterprise data deployments. Relational databases are still the best technology for running transactional applications (which is certainly critical for most businesses), but when it comes to data analysis, relational databases can be stressful. The adoption of an enterprise's Apache Hadoop (or a large data system like Hadoop) reflects their focus on performing analysis, rather than simply focusing on storage transactions. To successfully implement a Hadoop or class Hadoop system with analysis capabilities, the enterprise must address some of the following 4 categories to ask ...