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I10-001 XML Master Basic V2 information |

I10-001 information - XML Master Basic V2 Updated: 2024

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Exam Code: I10-001 XML Master Basic V2 information January 2024 by team

I10-001 XML Master Basic V2

Title: XML-Master I10-001 XML Master Basic V2

Test Detail:
The XML-Master I10-001 exam is designed to assess the fundamental knowledge and skills required to work with XML (eXtensible Markup Language) in various contexts. This certification is intended for professionals who work with XML and want to validate their understanding of XML concepts, syntax, and applications.

Course Outline:
The XML-Master I10-001 course provides participants with a comprehensive understanding of XML and its applications. The following is a general outline of the key areas covered in the certification program:

1. Introduction to XML:
- Understanding XML and its role in data representation and exchange
- Exploring the advantages and features of XML
- Differentiating between XML and HTML

2. XML Syntax and Document Structure:
- Understanding XML syntax rules and guidelines
- Defining XML elements, attributes, and entities
- Creating well-formed and valid XML documents

3. XML Namespaces and Schemas:
- Implementing XML namespaces to avoid naming conflicts
- Working with XML schemas (XSD) for data validation and structure definition
- Understanding the role of XML schema in data integration and interoperability

4. XML Document Transformation:
- Using XSLT (Extensible Stylesheet Language Transformations) for XML document transformation
- Applying XSLT templates, functions, and expressions
- Converting XML data into different output formats (e.g., HTML, PDF)

5. XML Query and Manipulation:
- Introduction to XPath and XQuery for querying and manipulating XML data
- Extracting specific data from XML documents using XPath expressions
- Modifying XML data using XQuery updates

6. XML Web Services:
- Understanding the role of XML in web services
- Exploring SOAP (Simple Object Access Protocol) and REST (Representational State Transfer) web services
- Using XML-based standards (e.g., WSDL, UDDI) for web service description and discovery

Exam Objectives:
The XML-Master I10-001 exam assesses candidates' knowledge and skills in XML concepts, syntax, and applications. The exam objectives include, but are not limited to:

1. Understanding the fundamentals of XML, its features, and advantages.
2. Demonstrating knowledge of XML syntax rules and document structure.
3. Applying XML namespaces and schemas for data validation and integration.
4. Performing XML document transformation using XSLT.
5. Querying and manipulating XML data using XPath and XQuery.
6. Understanding the role of XML in web services and related standards.

The XML-Master I10-001 certification program typically includes comprehensive training provided by XML-Master or authorized training partners. The syllabus provides a breakdown of the subjects covered throughout the course, including specific learning objectives and milestones. The syllabus may include the following components:

- Introduction to the XML-Master I10-001 exam overview and certification process
- Introduction to XML and its features
- XML Syntax and Document Structure
- XML Namespaces and Schemas
- XML Document Transformation using XSLT
- XML Query and Manipulation with XPath and XQuery
- XML Web Services
- exam Preparation and Practice Tests
- Final XML-Master I10-001 Certification Exam
XML Master Basic V2
XML-Master Master information

Other XML-Master exams

I10-001 XML Master Basic V2
I10-002 XML Master- Professional V2
I10-003 XML Master Professional Database Administrator

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XML Master Basic V2
Question: 124
Select which of the following is correct with regard to using a multiple number of character
encoding types in a single XML document that contains no external references.
A. Attach encoding element attributes to the element.
B. Attach encoding attributes for each element in the DTD. C. Use UTF-8 or UTF-16.
D. A multiple number of character encoding types cannot be used. W Courier Newlr Z
Answer: D
Question: 125
With respect to XML 1. 0, select which character encoding (encoding value for the XML
declaration) that an XML processor absolutely must be able to process.
A. Shift_JIS
D. UTF-8W Courier Newlr Z
Answer: D
Question: 126
Select which of the following is correct with respect to designating XML document
character encoding output via XSLT.
A. The output XML document character encoding is the same as the original XML
B. The output XML document character encoding is the same as the XSLT stylesheet.
C. Use xsl:output instructions to set the character encoding.
D. The character encoding for the XML document of the transformation results cannot be
designated. W Courier Newlr Z
Answer: C
Question: 127
Press the Exhibit button to view and transform "Transformation Source XML Document".
Select the answer that correctly describes what belongs in (1) in the "XSLT Stylesheet" to
derive "Post- Transformation XML
[XSLT Stylesheet]


A. //name
B. /name
C. product/name
D. /productW Courier Newlr Z
Answer: A, C
Question: 128
Select which of the following is an XSLT instruction to create a new node in a resulting
XML document.
A. xsl:attribute
B. xsl:cdata
C. xsl:element
D. xsl:entityW Courier Newlr Z
Answer: A, C
Question: 129
Press the Exhibit button to view the external DTD subset "prod. dtd". Select which of the
following correctly describes a valid XML document when the external DTD subset "prod.
dtd" file is generated.






W Courier Newlr Z
Answer: A
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XML-Master Master information - BingNews Search results XML-Master Master information - BingNews 3 High-Paying Master’s Degrees

Should you consider undertaking a master's degree in the new year? Let's face it, not all postgraduate degrees are equal, and if you want the highest chances of securing a high-potential career, with rapid growth and demand in your industry and eye-watering salaries, you need to be strategic about your next educational move.

You likely already have a bachelor's degree or equivalent experience, and now you're at a point where you're ready to leap into a new dimension of your life and take the next step towards your long-term dream career goal. But is specializing in a master's a smart move for you?

Who Should Consider A Master's Degree?

If you are aspiring to climb the career ladder and land a job in the C-suite, a master's degree can be a pivotal choice that enriches your career, not only through the course itself, but through the experiences you gain along the way, the projects and research you undertake, and the potential to forge new business connections you can tap into later. Here are some other reasons you might want to consider a master's:

Global Work Opportunities

If you desire to live and work in another country, sometimes you may find that you can greatly Excellerate your immigration chances by specializing in your field through a master's education.

Working In Tech Or Other STEM Industries

Many specialized careers within healthcare, life sciences, artificial intelligence, or engineering require master's level education. Equally, if you desire to teach these sciences you would need to get your master's and pursue a doctorate.

Career Pivot

Sometimes undertaking post-graduate education in a specific specialty is helpful to making a successful career transition because it demonstrates to employers that you are serious about your new role and have given it due consideration and study.

Different Types Of Master's Degrees

Before jumping into which master's degrees offer the highest salaries, it's essential to understand that depending on your industry, you don't necessarily need a degree to bring home a generous income.

MORE FROM FORBESDo I Really Need A Degree To Land A High-Paying Job In 2024?

Second, it's important to note that there are several types of master's degrees on offer. Some are more popular and can are needed generally in almost every industry or within a broad range of specialisms in an industry, such as the MBA (Masters of Business Administration) or the MS (Master of Science). A few of the others include:

  • MPA (Masters of Public Administration) for those working in the public or non-profit sector
  • MPH (Master of Public Health) for those wishing to pursue a career in public health administration and management
  • MCS (Master of Computer Science) or MIT (Master of Information Technology for those who wish to work or progress a career in tech

It's also important to remember that while many master's degrees awarded by accredited bodies are globally recognized, you need to check how credits transfer depending on the country you wish to move to or study in, and also check how the degree is referred to in that country if you choose to work there.

High-Paying Jobs With A Master's Degree

Below is a sample of three of the highest paying jobs associated with master's degrees, that will yield a good return on your education investment (note that many of these roles operate within business, technology, and engineering).

Machine Learning Engineer (Requires Master's Degree In Computer Science)

Machine learning engineers design and develop machine learning algorithms and systems. They work with large data sets to create models, and collaborate with data scientists, deep learning engineers, and data analysts.

Average salary: $160,761

Chief Executive Officer (Requires MBA)

Chief Executive Officers, also known as CEOs, sit at the highest level of an organization and typically report to a board of directors. In this role, you would be responsible for overall organizational direction and strategy. CEOs often work their way up from other senior management and leadership positions in addition to gaining a master's, or may be entrepreneurs leading a start-up.

Average salary: $140,271

Computer Hardware Engineer (Requires Master's Degree In Computer Science)

In your role as computer hardware engineer, you will be involved in designing and developing computer hardware components, for example, processors and circuit boards. You would also collaborate with software developers to create the finished product—be it a computer or related device. Although it is possible to just have a bachelor's degree, those with a master's tend to stand out as candidates.

Average salary: $112,872

So, is undertaking your master's to boost your salary prospects worth it? Conduct some research first and analyze your current circumstances and long-term career goals. And if, after this analysis, you decide to give your career a specialized edge for global recognition, be taken more seriously by your industry peers, or climb the ladder at your current employer, then go for it!

Sun, 17 Dec 2023 09:37:00 -0600 Rachel Wells en text/html
Master Data Science

Research in the field of data science requires solid skills in managing and storing massive amounts of data as well as the ability to develop efficient mathematical algorithms for data analysis. These techniques are employed in complex applications in natural science, engineering and social science.

The specialized Master's degree programme in data science equips students with all relevant knowledge and skills while combining theoretical foundations with practical experience. A central part of the program is the Data Science Laboratory, where students tackle specific and practical problems of interdisciplinary applications. In this course students engage in all tasks - from the process modelling to the implementation and validation of data science techniques.

Medicine, finance or environment: data science is used in most fields and thus enables graduates of the program to work in their industry of choice. Regardless of the industry, most large companies have data scientists working for or with them. A Data Science education emerges as one of the most valued academic competence in the information society of today.  

The Master in Data Science is a joint programme offered by the departments of Computer Science, Mathematics as well as Information Technology and Electrical Engineering.

Language of instruction


Credits | duration

120 ECTS | 2 years

Academic title

Master of Science ETH in Data Science

Qualifying disciplines

listed alphabetically:

  • Computer Science
  • Electrical Engineering
  • Mechanical Engineering
  • Mathematics
  • Physics
Sat, 17 Oct 2020 14:20:00 -0500 en text/html
Best Master’s in Data Science Programs in 2023
Is getting a master’s in data science worth it? 

Data science is one of the fastest growing fields—job openings have increased 480% since 2016, according to Glassdoor. And students graduating with a master’s in data science often land six figure salaries. The reason it’s a fast growing field, with high paying jobs, is because companies across all industries want data-savvy professionals in this era of digitization. Data provides companies and organizations with the resources they need to make better decisions—and in turn, they need professionals with data science skills who know how to understand and analyze data. 

What GPA do you need for a data science master’s program?

The GPA you’ll need to get accepted into a master’s program for data science varies by school. The University of Minnesota, No. 3 on Fortune’s ranking of the best master’s in data science programs, listed its average GPA for its students admitted for the 2020-2021 school year as 3.68. For the same period, the University of San Francisco’s was 3.47, the University of St. Thomas’ was 3.14, and the University of Michigan’s was 2.63—although it’s a bit of an outlier.

Which is the best university to do a master’s in data science?

Master’s degree programs in data science can be offered in person, online or in a hybrid format—and that might be the difference in what the “best program” for you means. Fortune ranks the top five in-person programs as: the University of Michigan, Harvard University, the University of Minnesota, the University of San Francisco, and the University of St. Thomas. Additionally, our ranking of the top five online programs include: the University of Illinois, UC Berkeley, Texas Tech University, Bay Path University, and Worcester Polytechnic Institute.

How long is a master’s degree in data science?

On average, it takes about one-and-a-half to two years to complete a master’s degree program in data science—with most programs requiring roughly anywhere from 25 to 60 credits to graduate. So it does depend on each individual program and whether you choose to be a full-time or part-time student. That said, thanks to a boost in salary and expanded career options, many students find it worthwhile to obtain a master’s degree in data science—and Gen Z considers the role of data scientist to be one of the most satisfying occupations.

What does a master’s in data science do?

A master’s degree in data science will teach you how to understand and analyze data. But because it’s a recently defined career path, how it’s applied can vary significantly. As Maurizio Porfiri, a New York University professor, told Fortune: “It’s a weird thing because it’s very vague. I discovered after a while that I had become a data scientist: people just started to refer to me as such.” But sometimes the first step to finding your place in the world of data science is picking a specialization—what type of problem you want to solve by using data. And a master’s degree can either help you find that specialization, or if you’ve already got the answer, will teach you the skills to pursue it.

Where can I learn data science for free?

Fortune compiled a list of seven universities that offer free online data science courses, which offers prospective students an opportunity to learn more about this field. Each university—Harvard University, the University of Michigan, UC Irvine, John Hopkins University, Columbia University, MIT, and Duke University—offers a different course, from linear regression to data science ethics to data science in real life. However, the common goal of these free courses is to give people an inside look into the field.

Do data scientists make good money?

In 2020, data scientists made a median salary of $164,500, according to a survey conducted by the Institute of Electrical and Electronics Engineers—that’s close to an 8% increase from the previous year. Karen Panetta, dean of graduate education for the School of Engineering at Tufts University told Fortune that her “2022 grads are getting offers at $125,000 and $135,000.” And a degree from a top program might mean even more money—UC Berkeley (ranked second on Fortune’s best online data science programs) 2021 graduates with a master’s in data science, earned an average salary of $155,000, according to data provided by the university.

Tue, 08 Aug 2023 21:35:00 -0500 en text/html Earning A Master’s In Information Systems: What To Know Before You Enroll

Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations.

Earning a master’s in information systems can open the door to many information technology jobs. As technology has become increasingly crucial to everyday life, professionals and consumers rely more and more on databases, search engines and digital financial systems.

Individuals with master’s degrees in information systems help make these systems efficient, effective and functional. This guide explores master’s in information systems degrees, including details on admission requirements, common coursework and career pathways.

What Is a Master’s in Information Systems?

A master’s in information systems covers the planning and implementation of new technologies, typically with a business focus in non-technical courses. These programs usually comprise 30 to 45 credits and take two years to complete, though some schools offer accelerated pathways. Coursework focuses on data management, information visualization, predictive business forecasting and IT infrastructure.

Along with core classes, enrollees can also complete electives in areas like organizational behavior, business conditions analysis and marketing strategy in the global environment. These degrees prepare graduates for information management roles at public and private organizations. Some programs focus on how business leadership intersects with technology, preparing students for advanced IT roles.

Master’s in Information Systems Admission Requirements

Admission requirements for master’s in information systems degrees typically include official transcripts, resumes, letters of recommendation and statements of purpose.

Most universities require a minimum 3.0 undergraduate GPA, though some programs evaluate each applicant holistically without specific GPA requirements. More competitive schools may have higher GPA minimums. Some colleges require candidates to submit GMAT or GRE scores.

Master’s in information systems programs may also require or prefer candidates to have prior work experience. Seasoned professionals may be exempt from GMAT or GRE requirements.

Courses in a Master’s in Information Systems Program

Information Architecture

Enrollees explore ways to gather and organize large datasets for business professionals. This course considers ethics, law and policy related to big data, along with methods of storage and use in professional contexts. Coursework bridges the gap between generating concepts and implementing those concepts in real-world business environments.

Students consider how people seek information within large datasets in content management systems to Excellerate usability and effectiveness. Learners analyze existing information structures and become comfortable with deploying and overseeing new content management systems.

Social Media as a Tool

Students consider how to use social media platforms, such as YouTube, Instagram, LinkedIn and Facebook, to recognize market changes and examine consumer trends. Using social media user data requires organized, searchable databases. Enrollees explore content management systems and the database software used to collect and organize big data.

Digital Business Success

This course focuses on contemporary IT subjects like cloud computing and storage, e-commerce integration and data organization methods. Enrollees hone their leadership skills to deliver innovative solutions in real-world tech scenarios. This class prepares students to analyze business data as strategic decision-makers in the workplace.

IT Infrastructure

Enrollees learn to develop scalable infrastructures for organizations. IT infrastructure is composed of three pieces: hardware, software and networking. Learners explore how physical devices, including routers and personal computers, use software to deliver proper functionality in digital communication.

Coursework considers how modern businesses record large datasets in many different contexts, which requires accurate organization. Though IT infrastructure once focused entirely on on-site, physical storage, many companies now use cloud hosting or software-based infrastructure.

Data Mining

In this elective course, degree-seekers learn to draw conclusions from large sets of data. Instructors delve into data mining methods and statistical analysis approaches that best suit business leadership environments. Enrollees may also consider machine learning techniques for pulling and organizing data.

Careers with a Master’s in Information Systems

We sourced the salary data in this section from the U.S. Bureau of Labor Statistics.

Computer Systems Analyst

Median Annual Salary: $102,240
Projected Growth Rate (2022–2032): +10%
Job Description: Computer systems analysts increase their organizations’ efficiency by researching and implementing new technologies. These professionals Excellerate existing networks by creating hardware- and software-based solutions in information technology. They need technical knowledge relating to data storage, programming and computing power to accurately develop plans and see them through to creation.

Most systems analysts tailor their work to their organization or sector. They handle a broad scope of work, with some analysts focusing on data modeling to create entire systems and others performing practical work relating to testing, debugging and writing code.

Mobile Application Developer

Median Annual Salary: $127,260
Projected Growth Rate (2022–2032): +26%
Job Description: These developers design and create applications for mobile platforms like Android and iOS. While there is some overlap, operating systems usually use different coding languages, allowing mobile application developers to specialize in core languages or platforms.

With the shift to mobile communications over the last decade, businesses have increasingly sought the work of these developers to create functional, efficient and user-friendly mobile software. Learn more about this career in our guide on how to become an app developer.

Cloud Architect

Median Annual Salary: $126,900
Projected Growth Rate (2022–2032): +4%
Job Description: Cloud architects handle organizations’ remote data storage. These IT professionals plan and implement cloud storage for companies that store all data on-site. They may also Excellerate existing systems for businesses that have adopted remote storage. Cloud architects must ensure that all parts of a network function properly together, including data management, access management and development of the software itself.

In addition to strong knowledge of cloud computing, this advanced role requires professionals to possess strong communication and collaboration skills. Cloud architects work in teams and may need to assign responsibilities to other IT professionals involved in remote data storage efforts.

Management Consultant

Median Annual Salary: $95,290
Projected Growth Rate (2022–2032): +10%
Job Description: These professionals analyze organizations’ procedures to provide advice on areas of improvement regarding efficiency, profits and employment. Also known as management analysts, management consultants problem-solve to create solutions for businesses looking to increase profitability.

Most management consultants work for organizations as third-party contractors. They observe businesses and speak with employees to determine areas for improvement before recommending changes.

Database Administrator

Median Annual Salary: $112,120
Projected Growth Rate (2022–2032): +8%
Job Description: Database administrators develop systems for digital information storage and organization. Professionals who use large datasets rely on this work, which ensures proper functionality and intuitiveness for quick, accurate access. Database administrators oversee existing databases and create new architecture when necessary.

Database administrators in smaller organizations may handle all database-related responsibilities. Within larger companies, these professionals typically specialize their work. For example, some focus on specific applications, like employee performance or customer service software.

Frequently Asked Questions About Information Systems

What do information systems professionals do?

Information systems professionals can handle information security and computer science responsibilities in many different roles. They may safeguard sensitive information for public and private organizations, build websites or analyze computer systems for efficiency.

Does a degree in information systems require coding?

Degrees in information systems typically do not require coding, though experience with writing or testing code may help. Information systems coursework focuses on the big-picture aspects of networks and businesses rather than covering specific coding languages.

What degree do you need for information systems?

Most information systems roles require at least a bachelor’s degree. However, employers may prefer master’s-level candidates for more senior roles in the field.

Mon, 18 Dec 2023 21:29:00 -0600 Matt Whittle en-US text/html
Master Gardener Information

In 2022, Floyd County had 152 active volunteers. They logged 8,391 volunteer hours that is valued at $251,310! They have also earned 2,639 education hours and reached 9,948 educational contacts. We appreciate all of their time and dedication to help beautify and educate Floyd County!

Check out this snapshot of the impact the Purdue Extension Master Gardener program had in the entire state of Indiana during 2022!

2022 Master Gardener Impact

Tue, 18 Oct 2022 07:10:00 -0500 en text/html
Online Computer Information Systems Master’s Degree No result found, try new keyword!However, earning a master's in information systems online can lead to higher salaries and more advancement opportunities for graduates. An online computer information systems master's program ... Fri, 26 Apr 2019 03:16:00 -0500 Master of Geographic Information Science

What is MGIS?

See, capture, store, and interpret data for terrains and applications that range from the distribution of organic mound-building ants in Yellowstone National Park to assessing the northernmost-known population of emerald ash borers in North America—to banking infrastructure or urban sewer systems. The uses for geospatial technology continue to expand. Companies use data to track assets, teams, and customers. Communities, for routing 911 responders, drilling wells, and designing cell-phone networks.

A professional Master of Geographic Information Science (MGIS) degree equips you to understand relationships, patterns, and trends using GIS, LiDAR, remote sensing, and other geographic-information system skills.

Program Strengths and Opportunities

  • The 30-credit coursework-only degree builds a strong foundation in core geospatial principles.
  • Thesis and report options are also available for those interested in pursuing a research project as part of their degree (note that all course requirements of the degree must be satisfied).
  • The program includes interdisciplinary studies in statistics, communications, environmental policy, and business.
  • The US Department of Labor's Geospatial Technology Competency Model, which outlines skills and knowledge needed to perform as an effective GIS professional, was used as a guide to develop Michigan Tech's MGIS degree program.

"The widespread availability and use of advanced GIS technologies offer great job opportunities for people with many different talents and educational backgrounds."US Geological Survey and US Bureau of Labor Statistics

Career Opportunities

GIS is ranked among the top 100 best careers in the US, with a 10-percent annual growth rate. Some of the biggest users are utilities, transportation, telecommunications, and education. Your career options also include demographics, natural resources, urban and regional planning, public health and epidemiology, law enforcement, and homeland security.

You don't need to be an IT expert. Because GIS has so many applications, and deals intimately with computers and data, the profession is often associated and combined with information technology. IT experience is useful, but you need a wide range of skills besides computer literacy to be a successful geospatial professional.

Financial Questions

Wed, 18 Nov 2015 10:29:00 -0600 en text/html Master Data Management is obsolete for data unification in FinServ No result found, try new keyword!and regulatory information. For years, Master Data Management (MDM) has been the go-to solution for achieving data unification and ensuring data quality within the industry. However, as technology ... Wed, 15 Nov 2023 03:22:00 -0600 en-us text/html Noodle Maker Master Kong Showcases How To Cut Plastic Waste

Published 01-04-24

Submitted by Alibaba Group

A Master Kong restaurant in Shanghai
A Master Kong restaurant in Shanghai. Photo credit: Shutterstock
  • France’s Veolia helped turn Master Kong’s waste plastic bottles into recyclable PET pellets
  • Storage boxes created from PET bottles had a 21% smaller carbon footprint, Alibaba Cloud certified

Master Kong, an instant noodles and beverage giant in China, teamed up with Alibaba Group and French utility Veolia to help shrink its carbon footprint.

The pilot project involved recycling Master Kong’s waste plastic bottles into new products sold on one of Alibaba Group’s grocery platforms. Master Kong is China’s largest instant noodles maker and exclusively makes, distributes and sells PepsiCo soft drinks in China.

As world leaders gather in Dubai to discuss the climate crisis at COP28, the pilot showcased how companies with different skill sets could collaborate to recycle waste at scale.

Master Kong, whose holding company is Hong Kong-listed Tingyi (Cayman Islands), collected waste PET bottles and transported them to a processing plant. PET, or polyethylene terephthalate, is a clear and 100% recyclable plastic.

At the plant, water, waste and energy management group Veolia turned the PET bottles into PET pellets, which can easily be made into new products. To complete the circle, the pellets were then used to produce goods for sale on Tmall Supermarket, an Alibaba-owned grocery purchasing platform.

In its latest annual report, Master Kong said had turned the PET pellets into storage boxes and luggage cases with its partners. Twenty thousand recycled PET storage boxes were sold during the project, which ran from August, 2022 to May this year.

The initiative is part of Alibaba and Master Kong’s commitment to tackle the plastic pollution crisis. Every day, the equivalent of 2,000 garbage trucks full of plastic are dumped into the world’s oceans, rivers, and lakes, according to the United Nations.

Alibaba and Master Kong are also founding members of the Global Development Initiative for Sustainable Development Goals, launched by the UN Global Compact in China in 2022.

Infographic: 7 bottles = 1 storage box


Consumers are increasingly using their purchasing power to push brands to show how their supply chains and products are sustainable. An Alibaba survey found that 73% of consumers would welcome more information about making environmentally conscious online purchases.

Master Kong turned to Alibaba Cloud to help it document its recycling initiative. The cloud computing company’s carbon management platform Energy Expert monitored and recorded the carbon emission savings from recycling Master Kong’s PET plastic bottles in 2022.

Energy Expert found that seven waste plastic bottles could be turned into one PET storage box. Each recycled PET storage box has a cradle-to-gate carbon footprint of 1.002kg/unit.

As a result of its recycling process, the carbon footprint of each PET storage box was 21% smaller than if it were made from virgin PET material, as measured by Energy Expert.

Energy Expert leveraged blockchain technology to boost transparency and ensure data was safely processed during the process. It documented information, including real-time production pictures, shipping order numbers and production batch numbers on the blockchain to ensure that data is stored securely and tamper-proof.

Consumers can also find a QR code in each of the recycled PET storage boxes that they can scan to examine carbon emission data spanning the entire production chain, from recycling and transportation of PET bottles to the transportation of finished products to the warehouse.

The 20,000 recycled PET storage boxes sold during the project each had its own label detailing its carbon footprint.

The pilot project is one of several sustainability projects Master Kong is pursuing. The group also released the first standard for carbon footprint accounting and carbon neutralization evaluation standard for tea beverages in China.

View original content here.

Please refer to for additional information about Alibaba’s sustainability efforts.

Alibaba Group Logo

Alibaba Group

Alibaba Group

About Alibaba Group
Alibaba Group’s mission is to make it easy to do business anywhere. The company aims to build the future infrastructure of commerce. It envisions that its customers will meet, work and live at Alibaba, and that it will be a good company that lasts for 102 years.

More from Alibaba Group

Thu, 04 Jan 2024 03:06:00 -0600 en text/html
Master of Science in Data Science

The last decade has witnessed an explosion of data generated by individuals, companies, and organizations worldwide. As society places an increased emphasis on the importance of data processing and analysis, the need for data scientists continues to grow across job sectors, including healthcare, information technology, climate science, media and entertainment, financial services, and other professional fields.

The Master of Science degree in Data Science is an interdisciplinary program that brings together faculty from CU Boulder’s Applied Mathematics, Computer Science, Information Science, and other departments. You will gain a deep understanding of data science through statistics, computer science, and information science and will apply these skills to domains in geospatial analytics, natural language processing, business analytics, and more.


Sat, 11 Nov 2023 17:44:00 -0600 en text/html

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