零壹科技「壹點通行銷同步雲」入選經濟部中小企業雲端運算推廣服務計畫,採用趨勢科技SafeSync技術,「壹點通行銷同步雲」讓大型企業安全地同步、分享與管理文件,提供一個不可或缺的私有雲,讓 IT 將四處分散的文件集中至一個控管的空間。有了「壹點通行銷同步雲」,IT 就能提升使用者的靈活性和便利性,不論使用者在辦公室內或者在路上都能傳送及存取大型文件
零壹科技「壹點通行銷同步雲」入選經濟部中小企業雲端運算推廣服務計畫,採用趨勢科技SafeSync技術,「壹點通行銷同步雲」讓大型企業安全地同步、分享與管理文件,提供一個不可或缺的私有雲,讓 IT 將四處分散的文件集中至一個控管的空間。有了「壹點通行銷同步雲」,IT 就能提升使用者的靈活性和便利性,不論使用者在辦公室內或者在路上都能傳送及存取大型文件
云中漫步 颠覆创新_创业邦春季创新峰会主题演讲 Cloud Innovation in ChinaChinaNetCloud
President of ChinaNetCloud, Yinan Gu's keynote speech at 2016 DEMO CHINA in Beijing, May 11.
Cloud Innovation in China, Speech at DEMO China in May, 2016 in Bejing by Yinan Gu, ChinaNetCloud's President (in Mandarin)
(The presentation is in Chinese. I will upload the English edition soon.)
达尔文信息云浏览器:自主进化式的信息云用户界面平台
对于IT(Information Technology,信息技术)产业而言,云代表的是普及化的T(Technology,技术),而浏览器式的易用用户界面代表的是普及化的I(Information,信息)。这两者相辅相成。云提供集中式的高效低成本的服务,而浏览器式客户端则在客户端提供个性化和社会化的用户体验。
云中漫步 颠覆创新_创业邦春季创新峰会主题演讲 Cloud Innovation in ChinaChinaNetCloud
President of ChinaNetCloud, Yinan Gu's keynote speech at 2016 DEMO CHINA in Beijing, May 11.
Cloud Innovation in China, Speech at DEMO China in May, 2016 in Bejing by Yinan Gu, ChinaNetCloud's President (in Mandarin)
(The presentation is in Chinese. I will upload the English edition soon.)
达尔文信息云浏览器:自主进化式的信息云用户界面平台
对于IT(Information Technology,信息技术)产业而言,云代表的是普及化的T(Technology,技术),而浏览器式的易用用户界面代表的是普及化的I(Information,信息)。这两者相辅相成。云提供集中式的高效低成本的服务,而浏览器式客户端则在客户端提供个性化和社会化的用户体验。
OpenStack Architected Like AWS (and GCP)Randy Bias
A description of how we built Open Cloud System (OCS), an OpenStack-powered complete cloud operating system. With a focus on AWS and GCE interoperability, we describe why hybrid cloud interoperability matters and how we got there. Anyone can do it and we think you should too.
Amazon Elastic Compute Cloud (Amazon EC2) provides resizable compute capacity in the cloud and makes web scale computing easier for customers. Amazon EC2 provides a wide variety of compute instances suited to every imaginable use case, from static websites to high performance supercomputing on-demand, available via highly flexible pricing options. Amazon EC2 works with Amazon Elastic Block Store (Amazon EBS) and Auto Scaling to make it easy for you to get the performance and availability you need for your applications. This session will introduce the key features and different instance types offered by Amazon EC2, demonstrate how you can get started and provide guidance on choosing the right types of instance and purchasing options.
Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session,you will learn best practices on how to scale big data workloads as well as process, store, and analyze big data securely and cost effectively.
AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2, Spot Instances, and AWS Lambda. AWS Batch reduces operational complexities, saving time and reducing costs. In this session, you will learn core concepts behind AWS Batch and details of how the service functions.
Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions.
In this webinar we will take you on a journey, starting with the basics of key creation and security groups and ending with an Auto Scaling application driven by dynamic policies.
Learning Objectives:
• Understand how to use Amazon EC2 beyond a simple single instance use case
• Learn about instance bootstrapping, AMIs and Elastic IPs
• Discover how to create an Elastic Load Balancer and integrate it with Auto Scaling
• Learn how to create Auto Scaling configurations and the tools you need to drive Auto Scaling policies
• Find out how to create an Amazon RDS database and how to test failover between Availability Zones Who Should Attend:
• Existing Amazon EC2 users, Developers, Engineers and Solutions Architects
It’s been an exciting year for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, include high availability options and new integrations with AWS services. We’ll also discuss the recently-announced Aurora with PostgreSQL compatibility.
In this session you will hear how Amazon Web Services (AWS) operates at scale and services over 1 Million customers, which maps to even more API calls every single second. Come and hear about how they deal with APIs, operate at scale and help to create lego block services that helps them to be customer obsessed.
Streaming Data Analytics with Amazon Redshift and Kinesis FirehoseAmazon Web Services
Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to transform and load streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this session, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
This is a business plan in Chinese.
iDarwin is a platform for information cloud: navigate, analyze, represent, annotate and evolve.
达尔文信息云平台(iDarwin)提供对信息云的导航、分析、展示、批注,用户界面进化和信息模型进化。简单来说,它就是信息云的客户端。它的独特之处在于它可以以业务的变化速度来进化。
技术优势:信息云处理技术,包括多种类,大数据量,复杂数据关系和进化管理四个方面。单一地解决每一个方面都不是非常困难,但是iDarwin同时实现了这几个方面。
转化阶段:目前已经实现了信息云的导航、分析、展示、用户界面进化,目前正在实现批注和信息模型进化最后两个功能。
目前已经支持主要的十几种传统数据库,OData协议,未来还可加入语义互联网支持。
应用领域:直接的应用领域是广义的商务智能,以无比的易用性和通用性方便最终用户对各类信息进行处理。最深远的影响是其作为一个进化平台,可以支持信息管理系统的开发和运维。
Centralizing Data Security with Data Virtualization (Chinese)Denodo
Watch: https://bit.ly/2E1ZtvK
Security can be a key concern when data is spread across multiple systems residing both on-premise and on the cloud. Asurion has leveraged data virtualization to use it as a single engine for security control over the data sources. This also helps facilitate transition to modern cloud-based data architecture.
In this webinar, we will discuss how data virtualization will help:
- Customize security and governance strategy in the data abstraction layer;
- Overcome the challenges associated with centralizing security across on-premise and cloud data sources;
- Build a single engine for security that provides audit and control by geographies
12. “At our core, Microsoft is the productivity
and platform company for the mobile-first
and cloud-first world. ”
——Satya Nadella
CEO of Microsoft
Microsoft 是以云为先的专业IT公司