Machine Data Analytics

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall "each period one sentence" The life always has the time, I know ... "foreword" is always very popular for the new handwritten article, even knows also has the friend to call me to answer this question. 　　Today, I also think of myself as a novice, talk about my years of learning experience, these years of work experience, these years industry development and change, and, if you want to engage in this industry, how should adapt to this change. The first chapter of this album Please see here, the second article please ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall the" Action Dashboard "(Executable website analysis report), is the website Analysis Master Avinash in April 30, 2008 published an article (the distance today already nearly 3 years), the article introduced an outstanding website Analysis report "The website Analysis Concise Briefing". Ben ...

This paper mainly introduces the ISAS5710 system for Data mart and ODS application, and takes ISAS5710 Medium system as an example, it focuses on how to install and configure the ISAS5710 system, how to design and deploy the database of User data mart and relevant analysis and application, To help you quickly learn the basics of using ISAS5710 Rapid Deployment Data mart applications. With the continuous improvement of user's business system and the increasingly fierce market competition, more and more enterprises are building data Warehouse, Data mart ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall the" Action Dashboard "(Executable website analysis report), is the website Analysis Master Avinash in April 30, 2008 published an article (the distance today already nearly 3 years), the article introduced an outstanding website Analysis report "The website Analysis Concise Briefing". Ben ...

Netease Technology News July 15, according to foreign media reports, LinkedIn announced on Monday the acquisition of machine learning data analysis startup Newsle. The details of both transactions are not published. Founded in 2011, Newsle is a platform that can automatically track and update the information related to a given character based on Internet data, and provide its subscribers with information subscription services. In other words, Newsle's users, through their services, can track any CEO's public behavior in real time, including being interviewed, reported, or made public on the Internet. LinkedI ...

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 ...

As we all know, predictive analysis has always been the "prerogative" of statisticians and data scientists in the "Ivory Tower", and they are far from day-to-day business decision makers. Big data will change that. As more and more data streams are put online and integrated into existing BI, CRM, ERP, and other critical business systems, predictive analytics will eventually become a focus of attention. Although most customer service representatives and field sales representatives have not yet felt the impact, companies such as IBM and MicroStrategy have begun to move. Big Data: Predictive analysis is no longer the prerogative of statisticians to think ...

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.

Machine learning is almost ubiquitous, and even if we don't call them, they often appear in large data applications. I used to describe some typical big data use cases in my blog. In other words, these applications can provide the best results in "extreme situations". 　　At the end, I also mentioned the combination of byte-level data capacity, real-time data speed, and/or diversity of multiple structured data. I also listed a list of applications that deliberately avoided "machine learning analysis" during the collection process. The main reason is that while in these use cases machine learning is not primarily ...

In fact, there are always a large number of machine data streams that contain a variety of useful information in our network. If we can effectively capture these data and analyze and utilize it fully, it must be a very big improvement. Cloudmeter, an emerging company, took the first step in this direction by announcing a series of tools recently released to capture valuable data on the Web through an ultra-lightweight proxy. The company also promised to roll out more analytical tools by the end of the year to analyze the captured data streams. According to Cloudmeter CEO M ...