Data Model Documentation

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Kafka configures SASL authentication and permission fulfillment documentation

Kafka configures SASL authentication and permission fulfillment documentation. First, the release notes This example uses: zookeeper-3.4.10, kafka_2.11-0.11.0.0. zookeeper version no requirements, kafka must use version 0.8 or later. Second, zookeeper configuration SASLzookeeper cluster or single node configuration the same. Specific steps are as follows: 1, zoo.cfg file configuration add the following configuration: authProvider.1 = org.apa ...

DEDECMS Custom Model Usage Tutorial

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall in the dream system has content model this concept, different content models can be used to build different content forms of sites, in the system with the following models: Ordinary articles, Atlas, software, commodities, classified information, topics. Through the system's own model, we can use to build different types of sites, such as: Use the Atlas can do a picture station, using software model to build a soft ...

Technical Documentation: a hybrid encryption scheme based on certificates in the standard model of cloud computing

The standard model of cloud computing based on certificate hybrid encryption scheme ping Herdach with the rapid development of cloud computing, data security has become a key problem of cloud security, especially the large amount of data stored and transmitted in the cloud and the high security requirements. On the other hand, based on the certificate cryptosystem, it overcomes the problem of the traditional public key cryptosystem and the key escrow based on the identity cipher system, and provides a new method for constructing the security and efficient PKI, but the existing certificate-based encryption schemes mostly adopt bilinear pair structure, and the computational efficiency is low. For cloud computing environments, based on reduced judgment ...

Web Analytics Hacks Select series JavaScript Document Object model

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall This article extracts from the website Analysis master Eric T.peterson "web site measurement Hacks" –hack#30 "HACK the JavaScript Document objec T Model "web analytics solutions are generally tagged to understand how they use JavaScript documents to ...

14 Questions for Silicon Valley and Silicon Valley technology companies: Valuation Bubbles/Big Data

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

Graphlab: Applying large data analysis from concept to production

Graphlab provides a complete platform for organizations to use scalable machine learning systems to build large data to analyze products, including Zillow, Adobe, Zynga, Pandora, Bosch, ExxonMobil, etc. They capture data from other applications or services, and transform large data concepts into predictive applications that can be used in production environments through system models such as referral systems, fraud monitoring systems, emotional and social network analysis systems. Carlos Guestrin is GRAPHL.

Five shifts in the big data age

The Internet's center of gravity is moving towards mobile interconnection, and the rapid popularization of various new kinds of intelligent mobile devices brings about huge data explosion. So everyone is talking about big data, everybody wants to use big data. But do you really know big data? What is the current industry situation? In fact, large data is just a reference, and its form is a data cloud. As Dcci founder Yanping said, the key is to make data flow the core of business and marketing activities based on real-time perception, analysis, dialogue, and service capabilities. How to make these big data better for products or marketing services, to understand the big data ...

Splunk launches hunk 6.1 for Hadoop and NoSQL Data Stores

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to ...

Is the age of legal data coming?

The big data age is making the law ever more powerful, in today's digital age, big data is extremely important, especially for law firms, where legal business may eventually be driven by data, when we can judge whether he or she is a good lawyer through the ability of a lawyer to sift through thousands of potentially relevant cases. With the acquisition of massive amounts of data, analysis is becoming more important. New tools to validate legal information, organize, and even visualize legal information are helping legal workers to gain access to massive court information, as storage becomes cheaper and processors become faster ...

"Ask Bottom" Xu Peng: Use Spark+cassandra to build high-performance data analysis Platform (i)

"Guide" the author (Xu Peng) to see Spark source of time is not long, note the original intention is just to not forget later. In the process of reading the source code is a very simple mode of thinking, is to strive to find a major thread through the overall situation. In my opinion, the clue in Spark is that if the data is processed in a distributed computing environment, it is efficient and reliable. After a certain understanding of the internal implementation of spark, of course, I hope to apply it to practical engineering practice, this time will face many new challenges, such as the selection of which as a data warehouse, HB ...

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