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The understanding of the Insider: How to use the business thinking to play good O2O this deck

It may sound strange to run a O2O store with the idea of a business online store.   But in another perspective, the offline retail store as an electric business site, from free WiFi, electronic price tag, shop optimization, shopping guide pad, to inventory data integration, user ID through, CRM system, micro-credit marketing, etc., it is not difficult to find that the logic behind the operation is interlinked. Qi brother has been acquainted with a long time a director of electrical business Y, others in the speculation O2O, he was patiently pondering some of the deep logic behind the operation, and finally realized a truth: If the offline retail store as a ...

Analysis says VC will continue to strengthen investment in large data-type start-up companies

This week, splice machine, a big data start-up, completed a 4 million dollar a round of funding to build a SQL database on the Open-source Hadoop Distributed File System, MONGOHQ $6 million in investment to develop its developer-oriented database services BloomReach received 25 million dollars in investment to further expand the application of large data marketing. The recent developments in these three companies have amply demonstrated why investors are pouring money into big data start-ups because of the increasing use of large data ...

Big Data + machine learning: Microsoft hopes to regain its dominance

Machine learning (Machine Learning) is a study of how computers simulate or implement human learning behavior in order to acquire new knowledge or skills, and to rearrange existing knowledge structures to continuously improve their performance. It is the core of artificial intelligence, is to make the computer has the basic way of intelligence, its application in all fields of artificial intelligence. Not long ago, the New York Times reported that Microsoft was applying machine learning to the business. Lightspeed, US investment director Jeremy Liew, also introduced "Big Data plus machine learning" to reshape bank credit ...

Analysis and discussion on the basic structure of website Data Warehouse

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

SEO Learning Network: The writing skills of sharing data class soft paper

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall soft article promotion has been the webmaster are more like one of the ways, compared to other ways, soft wen more cost-effective, It is also easier for users to accept.   Soft paper has a lot of ways, there are stories like soft, inference class soft, point of view, such as Soft wen, today and you share is the data class soft paper writing. Although the type of soft text is different, but ...

From credit to investment big data change finance

"You can imagine that all the information that can be collected can be used for finance, and the key is how to have innovative tools and ideas to make the data in your hands worthwhile." "The 2013 Internet Financial Innovation Summit, the Silicon Valley dialogue Beijing Forum, co-sponsored by Idg-accel, the new Financial Research Center for Finance and Economics, Long, said yesterday. Long was once the chief architect of the Shanghai Stock Exchange trading system, with two-thirds of the daily stock trading in China executed through his program, which sounds cool, no ...

Avoiding investment waste and recognizing the 10 big mistakes of large data

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem. In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following are the 10 largest companies that should know about the big data ...

AppStream and Kinesis, make cloud computing different

Cloud computing, as the most fashionable technology today, has been widely used in a variety of areas, perhaps on the basis of increased hosting services, through RESTful access to network-friendly application programming interface, so as to achieve special promotion to solve the problems of enterprise users and developers. Amazon's caching technology, database management software as a service, as well as virtual desktop services, is a concrete manifestation of this trend, which enables developers to deploy machine mirroring, which is not simply a simple infrastructure or service, but a consolidation of the special cloud based ...

Microsoft launches cloud Accelerator in China first 10 companies selected

Zhang announced that Microsoft launched its first start-up accelerator in China, the "cloud Accelerator", at the Huayun accelerator. The first 10 start-ups will receive free office space from Microsoft, Windows Azure cloud computing platform, Office software and entrepreneurial guidance. The first phase of the Microsoft Cloud Accelerator lasts for 6 months (from July 2012 to the end of December 2012). Of the nearly 50 start-ups in the first application, 10 teams were selected through multiple rounds of screening, starting with information aggregation, gaming social platforms, mobile apps ...

Website Data analysis: The premise of analysis-Data quality 3

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology two articles in front of the hall--analysis premise-Data quality 1 and premise of analysis-data quality 2 The statistic information of data profiling is introduced, and the data auditing is used to evaluate whether it is stored In quality issues, the quality of the data can be reviewed through three aspects of completeness, accuracy and consistency. This article introduces the last piece-data correction

How the blockchain changes AI

The blockchain is touted as an emerging technology that has the potential to impact every industry. The distributed system of blockchains is in opposition to the inherently centralized operating systems used today.

Six start-ups make big data visualization fun

Data visualization is the most challenging and challenging part of data analytics, but its importance does not allow us to question it. In fact, visualization is definitely one of the most important parts of analytical data analytics. Of course, storage, database query processing and algorithms are all very important. And without them visualization is impossible. But in a data-driven world, they are just at the base level. Here are six startups who are trying to radically change the visualization of their data. Some of them are highly complex visual processes, some are not. Although none of them is perfect ...

Big data into the traditional Internet, sudden emergence of risk control

December 17 news, mobile Internet, Internet of Things, e-commerce and other applications vigorously promote the type of data sources and the rapid growth of data volume, according to IDC speculation, big data applications are about to pour into the traditional Internet industry, risk management is expected to be Become a new point of growth for the business analytics market. In 2012, big data became the hottest topic in the IT industry, bringing unprecedented challenges to IT executives. Mobile Internet, Internet of Things, e-commerce and other applications have led to the continued rapid increase in the type of data sources and data volume, ...

Big Data Terminated "Human Feature Engineering + Linear Model" Mode

Tags: Big Data Machine Learning Feature Engineering During that 11 years I just joined Baidu, at Phoenix Nest through machine learning to predict ad clicks. I was still very much surprised at the crazy growth in training data over the past two years. Everyone is passionate about the features, each new feature can immediately get the AUC increase and revenue growth. We firmly believe that the feature is benevolent, I believe there will be a steady stream of features to join, the data size will double the growth. I am also deeply infected, I firmly believe that the next two years the data will be at least ten times longer, so all the work around this fake ...

Hadoop Series Six: Data Collection and Analysis System

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...

Soa+saas in China the present situation don't confuse the concept

SOA and SaaS must be separated. The combination of SOA and SaaS can be a trend. SOA is not yet SaaS in China. When it comes to SOA, the ESB cannot be said.   An ESB is a new software object that is added to the framework of the SOA architecture. There is a need to provide SOA services over the Internet. Dana Gardner, the boss of Cape Clear, an American ESB provider, spoke to the media about the possibility of providing SOA, an ESB as an integrated service. Soon after, his public ...

20,130 Big Science and technology strategic trend: consumer Cloud competition intensifies

Recently, Gartner, a market research institute, published the report "10 Key technology trends for the next five years (unacknowledged tech trends for the next Hep Perton)". In addition, Gartner provides a more detailed report, "The 2013 10 Technology strategic trends (top strategic Marvell Trends for 2013)". This article will make a simple introduction to these 10 aspects. 1. Move ...

Large data requires comprehensive, integrated, and open solutions

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

Insight - another impetus to business development

Insight is the driving force behind IBM's financial transformation as a 100-year-old company. IBM has undergone changes over and over again with the dual evolution of financial models and business needs. Focus has shifted from previous audits, internal controls, and financial The shifting of accounting transfers to focusing on business operations, controlling business risks and making strategic decisions is also a change for IBM's financial systems and asset management businesses. In this process, IBM business analytics solutions provide a market-driven 'insight' that effectively reduces financial costs and increases efficiency ...

SparkStreaming basic concepts

First, the association Spark and similar, Spark Streaming can also use maven repository. To write your own Spark Streaming program, you need to import the following dependencies into your SBT or Maven project org.apache.spark spark-streaming_2.10 1.2 In order to obtain from sources not provided in the Spark core API, such as Kafka, Flume and Kinesis Data, we need to add the relevant module spar ...

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