Analysis of "The beauty of data visualization" by David McCandless
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David McCandless creates beautiful and simple data visualizations that provide insight into complex datasets relating to topics such as worldwide military spending, media buzz, and Facebook status updates. His visualizations help make sense of large amounts of information and can reveal unseen patterns and connections. Good design is an effective way to navigate information overload and can change perspectives on world issues. McCandless draws meaningful conclusions from complex data through visualization.
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The beauty of Data Visualization
David McCandless creates beautiful data visualizations called infographics that reveal unexpected insights from complex datasets. By turning information like worldwide military spending or Facebook status updates into simple diagrams, McCandless is able to tease out unseen patterns. Good design, he suggests, is the best way to navigate information overload and change how we see the world. The document then provides examples of McCandless' infographics and discusses how visualizing data in this way can provide insights.
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TED - Data Visualization - Summary and Conversation Lesson
David McCandless talks about how we can use visualizations to make data more meaningful. Have your students watch for homework and then discuss during class.
The beauty of data visualization the beauty of data visualization by david m...
David McCandless creates simple, beautiful diagrams from complex data sets that reveal unseen patterns. Data visualization uses visual elements like boxes scaled and colored-coded to spending amounts and categories to provide context and meaning to numbers. Pictures can speak louder than words by combining the strengths of visual and verbal languages in a way that alters understanding more easily than words alone. Good design through data visualization can help navigate information overload and change perspectives.
Beauty of data visualization
David McCandless turns complex data sets into simple, beautiful diagrams that reveal unseen patterns and connections. Good design is the best way to navigate information overload and may change how we see the world. He suggests visualizing information so we can see important patterns and connections, designing it to tell a story or focus on what matters. Information visualization can be applied beyond data to ideas and concepts, with the goal of solving information problems.
Recommended
The beauty of Data Visualization
David McCandless creates beautiful data visualizations called infographics that reveal unexpected insights from complex datasets. By turning information like worldwide military spending or Facebook status updates into simple diagrams, McCandless is able to tease out unseen patterns. Good design, he suggests, is the best way to navigate information overload and change how we see the world. The document then provides examples of McCandless' infographics and discusses how visualizing data in this way can provide insights.
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Watch the Video here: https://www.youtube.com/watch?v=QYnB94WC9fM&feature=youtu.be
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This document discusses accelerating scale from startups to enterprise. It covers three main topics: culture, product, and technology. For culture, it emphasizes freedom and responsibility, being data-driven, and focusing on attitude, aptitude, and abilities. For product, it stresses the need to continuously change and innovate to provide new value. And for technology, it notes how technologies are moving to auto scaling, self-service, and being self-healing in a time-based economy. The document also shares examples and lessons learned from DataStax's experience processing over a billion events per day.
TED - Data Visualization - Summary and Conversation Lesson
David McCandless talks about how we can use visualizations to make data more meaningful. Have your students watch for homework and then discuss during class.
The beauty of data visualization the beauty of data visualization by david m...
David McCandless creates simple, beautiful diagrams from complex data sets that reveal unseen patterns. Data visualization uses visual elements like boxes scaled and colored-coded to spending amounts and categories to provide context and meaning to numbers. Pictures can speak louder than words by combining the strengths of visual and verbal languages in a way that alters understanding more easily than words alone. Good design through data visualization can help navigate information overload and change perspectives.
Beauty of data visualization
David McCandless turns complex data sets into simple, beautiful diagrams that reveal unseen patterns and connections. Good design is the best way to navigate information overload and may change how we see the world. He suggests visualizing information so we can see important patterns and connections, designing it to tell a story or focus on what matters. Information visualization can be applied beyond data to ideas and concepts, with the goal of solving information problems.
TED Wiley Visualizing .docx
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Statistics: Visualizing Data
Introductory Essay from the Locks
The Reality Today
All of us now are being blasted by information design. It's being poured into our eyes
through the Web, and we're all visualizers now; we're all demanding a visual aspect to
our information… And if you're navigating a dense information jungle, coming across
a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a
clearing in the jungle. –David McCandless
In today’s complex ‘information jungle,’ David McCandless observes that “Data is the new soil.”
McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource
providing a fertile and creative medium from which new ideas and understanding can grow.
McCandless’s inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his
compelling image of flowers growing out of data/soil. These ‘flowers’ represent the many insights that
can be gleaned from effective visualization of data.
We’re just learning how to till this soil and make sense of the mountains of data constantly being
generated. As Gary King, Director of Harvard’s Institute for Quantitative Social Science says in his New
York Times article “The Age of Big Data”:
“It’s a revolution. We’re really just getting under way. But the march of quantification,
made possible by enormous new sources of data, will sweep through academia,
business and government. There is no area that is going to be untouched.”
How do we deal with all this data without getting information overload? How do we use data
to gain real insight into the world? Finding ways to pull interesting information out of data can
be very rewarding, both personally and professionally. The managing editor of Financial Times
observed on CNN’s Your Money: “The people who are able to in a sophisticated and practical
way analyze that data are going to have terrific jobs." Those who learn how to present data in
effective ways will be valuable in every field.
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Many people, when they think of data, think of tables filled with numbers. But this long-held notion is
eroding. Today, we’re generating streams of data that are often too complex to be presented in a
simple “table.” In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses
audio, video, and the text messages in social media as data.
Some may also think that only a few specialized professionals can draw insights from data. When we
look at data in the right way, however, the results can be fun, insightful, even whimsical--and accessible
to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on
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What about pie charts? What is the fuss about, and when are they best used?
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The document discusses the importance and power of visualizing data through various graphic representations. It notes that visualizing information allows us to transform it into an "information map" that is easier to explore and understand when feeling overwhelmed by data. It also states that working with data in a visual way can reveal interesting patterns and emergent insights. Additionally, the document highlights that the eye is highly sensitive to visual patterns and variations, and combining visual and conceptual languages can enhance understanding. Finally, it emphasizes that visualizing information can provide elegant solutions to problems and questions in an efficient manner.
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Visualization: For Business
Data visualization techniques like graphs, charts, and diagrams can help businesses efficiently analyze large amounts of data and gain new insights that can improve decision making. Visualizing business data in tools such as Tableau, Google Charts, and QlikView allows analysts to quickly identify trends, understand problems, and align stakeholders on the best solutions. When done well, data visualization changes how a company thinks about its operations and performance by facilitating discussion and consensus around what the numbers really mean.
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David McCandless creates simple visualizations of complex data sets that reveal unseen patterns. His diagrams beauty simplify information overload. Good design, the author suggests, helps navigate excess data and may change perspectives. Visualizing information through patterns and connections focuses on what matters. Data has become a valuable resource, and relative, connected figures providing fuller context can change mindsets and behaviors. Information design solves data problems through elegant solutions.
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TED Wiley Visualizing .docx
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1
Statistics: Visualizing Data
Introductory Essay from the Locks
The Reality Today
All of us now are being blasted by information design. It's being poured into our eyes
through the Web, and we're all visualizers now; we're all demanding a visual aspect to
our information… And if you're navigating a dense information jungle, coming across
a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a
clearing in the jungle. –David McCandless
In today’s complex ‘information jungle,’ David McCandless observes that “Data is the new soil.”
McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource
providing a fertile and creative medium from which new ideas and understanding can grow.
McCandless’s inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his
compelling image of flowers growing out of data/soil. These ‘flowers’ represent the many insights that
can be gleaned from effective visualization of data.
We’re just learning how to till this soil and make sense of the mountains of data constantly being
generated. As Gary King, Director of Harvard’s Institute for Quantitative Social Science says in his New
York Times article “The Age of Big Data”:
“It’s a revolution. We’re really just getting under way. But the march of quantification,
made possible by enormous new sources of data, will sweep through academia,
business and government. There is no area that is going to be untouched.”
How do we deal with all this data without getting information overload? How do we use data
to gain real insight into the world? Finding ways to pull interesting information out of data can
be very rewarding, both personally and professionally. The managing editor of Financial Times
observed on CNN’s Your Money: “The people who are able to in a sophisticated and practical
way analyze that data are going to have terrific jobs." Those who learn how to present data in
effective ways will be valuable in every field.
T
E
D
|
W
ile
y
V
is
ua
liz
in
g
D
at
a
In
st
ru
ct
or
M
at
er
ia
ls
2
Many people, when they think of data, think of tables filled with numbers. But this long-held notion is
eroding. Today, we’re generating streams of data that are often too complex to be presented in a
simple “table.” In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses
audio, video, and the text messages in social media as data.
Some may also think that only a few specialized professionals can draw insights from data. When we
look at data in the right way, however, the results can be fun, insightful, even whimsical--and accessible
to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on
any other day of the week, or that ...
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What about pie charts? What is the fuss about, and when are they best used?
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Class 6 data visualization
This was created for a Master in Journalism class and was designed to get students thinking about ways to tell stories using infographics.
Data Visualization Design Best Practices Workshop
This document provides guidance on effective data visualization. It emphasizes starting with the audience and their needs, identifying the key story or message in the data, and using simple, clear design principles. Charts should be designed in 5-8 seconds to engage the audience. The document recommends several resources for choosing effective chart types and improving visualization skills. Overall, it stresses the importance of visualization in empowering stakeholders to make informed decisions.
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The beauty of data visualization
David McCandless creates simple visualizations of complex data sets that reveal unseen patterns. His diagrams beauty simplify information overload. Good design, the author suggests, helps navigate excess data and may change perspectives. Visualizing information through patterns and connections focuses on what matters. Data has become a valuable resource, and relative, connected figures providing fuller context can change mindsets and behaviors. Information design solves data problems through elegant solutions.
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Summer 2015, Dr. Joni Salminen
Contact: joolsa@utu.fi
Big data
Susan Etlinger is an industry analyst who focuses on data and analytics. She has authored two reports on social media ROI and social analytics. She advises clients on measurement strategies and extracting insights from social data. She also works with technology companies to refine their strategies.
Big data refers to very large data sets that cannot be analyzed using traditional techniques. It is characterized by volume, velocity, and variety. Analyzing big data can help solve problems and generate value. The amount of data is growing exponentially from various sources like customer transactions, photos, and genome sequencing. This growth is driving changes in analytics approaches and capabilities.
Data science brings together techniques from computer science, statistics, mathematics, and domain knowledge to extract insights from
Analysis of "The beauty of data visualization" by David McCandless
This presentation is created during Data Analytics Internship under Prof. Sameer Mathur, IIM Lucknow.
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Learn techniques for solving 7 common AutoCAD challenges. First, discover how to perform high-fidelity data exchange between AutoCAD and Esri ArcGIS. Next, see how to sync your AutoCAD design with external data sources – including databases, GPX, and CSV – and then automatically label any new inputs, such as with parcels. Plus see how to restructure between CAD standards and perform automated QA on your data.
Knowledge Architecture: Graphing Your Knowledge
Ask any project manager and they will tell you the importance of reviewing lessons learned prior to starting a new project. The lesson learned databases are filled with nuggets of valuable information to help project teams increase the likelihood of project success. Why then do most lesson learned databases go unused by project teams? In my experience, they are difficult to search through and require hours of time to review the result set.
Recently I had a project engineer ask me if we could search our lessons learned using a list of 22 key terms the team was interested in. Our current keyword search engine would require him to enter each term individually, select the link, and save the document for review. Also, there was no way to search only the database, the query would search our entire corpus, close to 20 million URLs. This would not do. I asked our search team if they would run a special query against the lesson database only, using the terms provided. They returned a spreadsheet with a link to each document containing the terms. The engineer had his work cut out for him: over 1100 documents were on the list;.
I started thinking there had to be a better way. I had been experimenting with topic modeling, in particular to assist our users in connecting seemingly disparate documents through an easier visualization mechanism. Something better than a list of links on multiple pages. I gathered my toolbox: R/RStudio, for the topic modeling and exploring the data; Neo4j, for modeling and visualizing the topics; and Linkurious, a web front end for our users to search and visualize the graph database.
Dell direct marketing
This document summarizes a report on Dell presented by Gourav J. It provides an introduction to Dell, outlines its history beginning in 1984, and identifies its current CEO as Michael Dell. The document also describes Dell's vision, mission, direct sales model, supply chain and logistics processes, and concludes that Dell's success stems from its direct sales and build-to-order business model enabled by its use of information technology.
Data-Ed: A Framework for no sql and Hadoop
Big Data and NoSQL continue to make headlines everywhere. However, most of what has been written about these topics is focused on the hardware, services, and scale out. But what about a Big Data and NoSQL Strategy, one that supports your business strategy? Virtually every major organization thinking about these data platforms is faced with the challenge of figuring out the appropriate approach and the requirements. This presentation will provide guidance on how to think about and establish realistic Big Data management plans and expectations. We will introduce a framework for evaluating the various choices when it comes to implementing and succeeding with Big Data/NoSQL and show how to demonstrate a sample use case.
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Guidelines for data visualisation: eye vegetables and eye candy
Guidelines for data visualisation: eye vegetables and eye candy
Digital analytics: Dashboards, visualizations, and lying with data (Lectures ...
Digital analytics: Dashboards, visualizations, and lying with data (Lectures ...
Analysis of "The beauty of data visualization" by David McCandless
Analysis of "The beauty of data visualization" by David McCandless
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Data is a set of values that represent qualitative or quantitative variables. Data science uses scientific methods to extract knowledge and insights from structured or unstructured data. The document provides examples of where data can be found, such as in meetings which could be analyzed to determine patterns around tardiness and the impact it has. It suggests that maintaining order in meetings, as the VP was able to do, could help address issues around consistent lateness.
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Data is a set of values that represent qualitative or quantitative variables. Data science uses scientific methods to extract knowledge and insights from structured or unstructured data. This document discusses how to think like a data scientist by exploring data from everywhere, such as by observing patterns in meeting start times and how being late can create inefficiencies for a company. It suggests starting by analyzing real data to find meaningful insights.
"What do we do with all this big data?"
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like depression and anxiety.
Data Scientist: The Sexiest Job of the 21st Century
Data Scientist: The Sexiest Job of the 21st Century
by Thomas H. Davenport and D.J. Patil
WHY YOU SHOULD LOVE STATISTICS
Statistics is important for managers to understand as nearly half of working age people in the UK lack basic numerical skills, and statistics helps manage uncertainty which is a key part of many jobs. Managers should take a multi-pronged approach and not rely solely on their own opinions or perceptions by using statistics to inform decision making.
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The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版制作【微信:41543339】【利兹贝克特大学毕业证(LeedsBeckett毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
by
Timothy Spann
Principal Developer Advocate
https://budapestdata.hu/2024/en/
https://budapestml.hu/2024/en/
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://www.youtube.com/@flank-stack
milvus
vector database
gen ai
generative ai
deep learning
machine learning
apache nifi
apache pulsar
apache kafka
apache flink
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Learn SQL from basic queries to Advance queries
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
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Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
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(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
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Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
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