ENIT e ALIBABA GROUP per lo sviluppo del turismo cinese in Italia – 9 FEBBARIO 2017
La presentazione del Consigliere Delegato ENIT Fabio Lazzerini in occasione della firma dell'accordo di ENIT con Alitrip (Alibaba Group)
ENIT e ALIBABA GROUP per lo sviluppo del turismo cinese in Italia – 9 FEBBARIO 2017
La presentazione del Consigliere Delegato ENIT Fabio Lazzerini in occasione della firma dell'accordo di ENIT con Alitrip (Alibaba Group)
This document lists the top 10 B2B sites in China as of January 2017, with Alibaba, Made-In-China, and eGTCP ranked as the top 3 largest B2B sites in the country. Alibaba is also the largest B2B site worldwide, while Made-In-China is a manufacturer directory and eGTCP is the fastest growing B2B marketplace in China that also offers credit services. The other top sites include Globalsources.com, China.cn, Diytrade.com, Hktdc.com, Ecvv.com, Globalmarket.com, and Bossgoo.com.
From http://www.csdn.net/article/2015-12-17/2826501
《阿里巴巴数据安全部阿里数据安全小组总监郑斌:大数据下的数据安全》
阿里巴巴数据安全部阿里数据安全小组总监郑斌在《大数据下的数据安全》主题演讲中表示以数据流控制为中心的IT时代正走向以数据共享为基础、激活生产力为目的的DT时代,而大数据是新的生产要素,互联网+的新基础设施云网端(云:云计算、大数据;网:互联网、物联网;端:终端,APP)正激活大数据。
44e Journées Annuelles de l'IFM 2017 : digital retail and now? ALTAVIA
Keynote Jean Marc Megnin : le match Amazon Alibaba conditionne l'avenir du retail mondial. Quel état des lieux, quelles évolutions à venir, et quels nouveaux schémas adopter face à la montée en puissance de places de marché cross border.
This document provides an overview of sourcing products through Alibaba. It discusses that Alibaba connects buyers and sellers globally, is the largest eCommerce site by volume, and is based in China. While not the same as Amazon, Alibaba specializes in business-to-business transactions rather than business-to-consumer. The document then provides tips on how to source products, how to speak to suppliers on Alibaba, and private labeling opportunities.
Jack Ma founded Alibaba in 1999 as an online marketplace connecting Chinese manufacturers with overseas buyers. It has since expanded to offer services for both businesses and consumers, including B2B, B2C, and C2C ecommerce platforms as well as online payments. Alibaba makes most of its revenue from advertising on its sites rather than transaction or listing fees. It now has over 800 million active users annually conducting business worth trillions of dollars.
Data, Chinese Ants and how Alibaba Became the World’s Largest RetailerNick Smith
Keynote presentation at CIO Edge, Sydney on Thursday 23rd February 2017
Jack Ma likens his group of companies to ants in that he believes an army of ants collaborating will conquer any challenge, whilst teaching us about purpose, collaboration, and focus. With this philosophy Alibaba has successfully been using data as a strategic asset to deliver a differentiated customer experience for millennials and beyond. As such they have also become the World’s largest retailer, delivering true multi-channel experiences (not singular) and leap frogging traditional organisations with their siloed thinking.
· The importance of building collaborative ecosystems
· How to leverage the strategic value of data
· Building an information elite culture
Alibaba Group is a Chinese e-commerce company founded in 1999 by Jack Ma. It has grown tremendously successful and is now the world's largest retail platform. The report outlines Alibaba's history of growth from 1999 to becoming a top 500 Chinese enterprise, its various business lines including international markets, cloud services, and payments, and its culture of promoting small businesses through innovation and meeting customer needs.
Alibaba is one of the top internet company that shines in this digital age.
I learn that simplicity is the key when they work on their company culture.
Great learning from Jack Ma!
Alibaba Group - Strategic Analysis - OverviewSelf Employed
This is the most comprehensive analysis of growth and competitive strategies of Alibaba Group.
It covers all relevant areas of information like B2B & B2C Services Analysis, Payment & Financial Services Strategy, Key Financials Analysis, Key Metrics & Indicators, Acquisitions & Strategic Investments, Mobile (Commerce) Strategy, Logistics & Delivery Strategy, Competition & Growth Strategy.
This analysis addresses the core questions regarding Alibaba Group:
- What is the current status quo of Alibaba Group in domestic and international markets by main business segment?
- Which growth strategies and competitive strategies can be observed for Alibaba in general and by line of business?
- What are the most promising growth areas for Alibaba Group within the next 3 years?
- What are the competitive strategies in focus areas like payment and financial services, logistics and delivery as well as mobile?
Send us your request at research [AT] digital-quarterly [DOT] com
詹剑锋:Big databench—benchmarking big data systemshdhappy001
This document discusses BigDataBench, an open source project for big data benchmarking. BigDataBench includes six real-world data sets and 19 workloads that cover common big data applications and preserve the four V's of big data. The workloads were chosen to represent typical application domains like search engines, social networks, and e-commerce. BigDataBench aims to provide a standardized benchmark for evaluating big data systems, architectures, and software stacks. It has been used in several case studies for workload characterization and performance evaluation of different hardware platforms for big data workloads.
The document discusses big data visualization and visual analysis, focusing on the challenges and opportunities. It begins with an overview of visualization and then discusses several challenges in big data visualization, including integrating heterogeneous data from different sources and scales, dealing with data and task complexity, limited interaction capabilities for large data, scalability for both data and users, and the need for domain and development libraries/tools. It then provides examples of visualizing taxi GPS data and traffic patterns in Beijing to identify traffic jams.
Spark is an open source cluster computing framework originally developed at UC Berkeley. Intel has made many contributions to Spark's development through code commits, patches, and collaborating with the Spark community. Spark is widely used by companies like Alibaba, Baidu, and Youku for large-scale data analytics and machine learning tasks. It allows for faster iterative jobs than Hadoop through its in-memory computing model and supports multiple workloads including streaming, SQL, and graph processing.
This document describes an interactive batch query system for game analytics based on Apache Drill. It addresses the problem of answering common ad-hoc queries over large volumes of log data by using a columnar data model and optimizing query plans. The system utilizes Drill's schema-free data model and vectorized query processing. It further improves performance by merging similar queries, reusing intermediate results, and pushing execution downwards to utilize multi-core CPUs. This provides a unified solution for both ad-hoc and scheduled batch analytics workloads at large scale.
刘诚忠:Running cloudera impala on postgre sqlhdhappy001
This document summarizes a presentation about running Cloudera Impala on PostgreSQL to enable SQL queries on large datasets. Key points:
- The company processes 3 billion daily ad impressions and 20TB of daily report data, requiring a scalable SQL solution.
- Impala was chosen for its fast performance from in-memory processing and code generation. The architecture runs Impala coordinators and executors across clusters.
- The author hacked Impala to also scan data from PostgreSQL for mixed workloads. This involved adding new scan node types and metadata.
- Tests on a 150 million row dataset showed Impala with PostgreSQL achieving 20 million rows scanned per second per core.