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What is SQL Subquery?

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Syntax Syntax #1 – Subquery in FROM Clause SELECT column_name(s) FROM (SELECT column_name(s) from table_name) as table_alias WHERE condition; Syntax #2 – Subquery in WHERE Clause SELECT column_name(s) FROM table_name_1 column_name(s) from table_name_2); Syntax #3 – Subquery in HAVING Clause SELECT column_name(s) FROM table_name_1 WHERE condition GROUP BY column_name(s) HAVING Aggregate_function(column_name)expression_operator{=, Parameters in SQL Subquery

The parameters used in the above syntaxes are:

SELECT column_name(s): It is used to select the required data from the database. Mention the column name(s) which you want in the result set.

FROM: It is used to specify the source from which data has to be fetched. In the first case, the result of the subquery will act as the source. In the second case, data will be fetched from table_name_1.

WHERE condition: It is used to specify the conditions to filter records. In the second case, the rows will be filtered according to the comparison between the results of the subquery and the mentioned column.

GROUP BY column_name(s): It is used to group rows, having similar values into summary rows.

HAVING condition: It is used to filter groups based on the specified condition. In the third case, the filtering of groups is done based on the result of the subquery.

Subquery in FROM Clause

Subqueries in the FROM clause create a derived or intermediate table that can be used directly to fetch results for the main SELECT query or joined with other tables and then used subsequently. In order to understand the concept better, we will take the help of two tables, Employees (this contains personal details of all the employees) and departments (it contains details like department id, name, and its hod).

The data in the departments’ table look something like this:

departmentid departmentname head 4001 Sales & Marketing 10024 4002 Products 10023 4003 Human Resources 10022

The data in the employees’ table is as follows:

employeeid lastname firstname departmentid address city 10028 Becker Todd 4001 27 street Oslo 10029 Rebecca Ginny 4001 27 street Manhattan 10027 Tobby Riya 4002 31 street Manhattan 10026 Sharma Deepak 4002 10th street New Delhi 10024 Krishna Lina 4001 27 street Oslo 10023 Jackson David 4002 27 street Manhattan 10022 Mayers David 4003 27 street Manhattan

Here are a few examples to understand subqueries in the FROM clause.

Example #1

Find the number of employees in each department.


SELECT departmentid, count_employees FROM (SELECT count(DISTINCT employeeid) AS "count_employees",departmentid FROM employees GROUP BY departmentid) AS employee_summary ORDER BY count_employees;


Explanation: In the above example, we have first created a derived table “employee_summary” and used it to fetch departmentid and count of employees working in that department.

Example #2

Find the number of employees in each department, but with department names in the final result.


SELECT dept.departmentname, employee_summary.count_employees FROM (SELECT count(DISTINCT employeeid) AS "count_employees",departmentid FROM employees GROUP BY departmentid) AS employee_summary INNER JOIN department as dept ON dept.departmentid::varchar = employee_summary.departmentid ORDER BY employee_summary.count_employees DESC;


Explanation: In the above example, we have first created a derived table “employee_summary” and then joined it with the “department” table to get department names.

Subquery in WHERE Clause

A subquery in the WHERE clause helps in filtering the rows for the result set, by comparing a column in the main table with the results of the subquery. Here is an example to understand subqueries in the WHERE clause.

Example #1

Find the name of departments where the head of the department is from “Manhattan”.


SELECT departmentname FROM department WHERE head IN (SELECT employeeid::varchar FROM employees WHERE city = 'Manhattan');


Subquery in HAVING Clause

A subquery in the HAVING clause helps in filtering the groups for the result set, by comparing a column in the main table with the results of the subquery. Here is an example to understand subqueries in the HAVING clause.

Example #1

Find the departments where the total number of employees is more than the total number of employees in New Delhi.


SELECT d.departmentname,count(e.employeeid) FROM department as d INNER JOIN employees as e ON d.departmentid::varchar = e.departmentid GROUP BY d.departmentname


Explanation: In the above example, we have created a subquery in the HAVING clause. The result of this subquery will fetch the total number of employees from New Delhi and then compare it with the number of employees in each department. Hence, it will help us in arriving at the final result.

Conclusion – SQL Subquery

SQL subqueries are nested inner queries written within the main query. They help in solving complex problems. Subqueries are a good alternative to SQL joins as they increase efficiency or speed.

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Where Big Data And Physical Markets Meet

by Yaniv Vardi

The industrial revolution occurred in the 18th century, ushering in the industrial age, which continued through the 20th century.  On its heels, began the information age, which is ongoing, according to most experts.  While the industrial age focused on automation and mass manufacturing, the information age is based on today’s extensive communication infrastructure, which has enabled access to virtually endless information. 

The Evolution of Data

Historically, products were classified into tangible products and non-tangible services.  Marketing theories have narrowed this distinction (tangible and non-tangible goods), to what is known as the “goods and services continuum,” a model in which some products are an obvious combination of purely tangible goods and associated services. 

Until recently, information was considered too abstract a commodity to be classified as either a good or a service. Even intangible services were thought to require some physical presence, whether in their delivery or effect, to actualize their utility. Platonic information – or data as we so commonly refer to it today – was generally reserved for matters of education, statecraft or religious studies. 

Yet, as businesses and technologies evolved, the data produced on sales, profit margins and trends began to influence corporate decisions, bringing information to the enterprise. While this general connection became clear, the specific connection between any specific parcel of information and its impact on business decisions remained as nebulous as ever.

Still, confident in the belief that within the knot of data there was somewhere a thread connecting information to decision, prospectors became convinced of incredible latent value. What the California Gold Rush was physically, the Silicon Valley Data Rush was virtually. The treasure was there, simply waiting to be mined.

The Data Rush was further enabled by the proliferation of connectivity, giving birth to the “always on” culture, which, when combined with social networks, GPS, digitization, online searches and ecommerce transactions, has created a mass of information, commonly coined “Big Data.”

Big Data has become so big and so pervasive that it’s spun an entirely new economic market. Many argue that while Wall Street rushes to confer enormous valuations upon Big Data enterprises, the information they collect has no inherent value. (If you think back to Facebook’s IPO, consider the massive disparity in analyst valuations.) 

With the rise of information as a product, it’s worth asking “Are we witnessing a fundamental rearrangement of the global economy? Is data replacing physical goods and services as the premier engine of economic growth?”

While some may disagree, I respond uncompromisingly in the negative. The value of the data economy must come in its potential to enhance conventional markets, even if it’s a long and windy road from A to Z. Any value claimed beyond this, I contend, is nothing more than hot air – a bubble pumped up on animal spirits and undisciplined speculation.

Mark my words, the real engine of tomorrow’s global economy will be where Big Data and physical markets meet.

Enter the Internet of Things

Today, we are beginning to understand the incredible value that can be realized by coupling highly contextualized data with existing products and processes. The Internet of Things (IoT) – wherein traditionally non-responsive objects become dynamic interfaces constantly collecting, communicating and adjusting to data – has opened the path for organizations to zero in on the hidden points of micro-friction in their processes and thus improve efficiencies.

The Internet of Things is the paradigm of the type of value-generating convergence of Big Data and physical markets to which I refer. At the heart of the Internet of Things, are (weight, temperature, energy, etcetera) sensors and increasingly agile, quick, and sophisticated data processing techniques and tools.

Increasingly, every human and machine act is being catalogued and examined for any and all useful revelations. Consider transactional data, which provides customer insights and purchasing trends, or social data taken from social media. These datasets are being leveraged to evermore successful effect by enterprises looking to create real value throughout their operations – from internal efficiencies through commercialization and marketing strategies.

Deloitte has highlighted key trends in analytics that will influence the business world in the coming years, in what they coin “the next evolution”.  The growth of IoT will similarly have a high impact on businesses in the coming years, affecting consumer products and business models.

Aggregation of data and data analysis will facilitate the creation of new products, markets and services. Analytics will expand across all facets of enterprise, with businesses increasingly investing in Big Data infrastructure and technologies. Such data-driven insights will support decision-making processes.

What we’re witnessing is not the replacement of physical markets with digital markets, but the perfection of physical markets through digital markets.

According to BI Insider, while there were 10 billion devices connected to the internet as of 2024, the volume of connected devices will grow to reach 34 billion by 2023. Fueling this bonanza is the nearly $6 trillion expected to be spent on IoT solutions through 2023.

Big Data Explodes

So how big exactly is this data?

According to IBM, we create 2.5 quintillion (a quintillion has 18 zeros) bytes of data each day. Sales of Big Data and business analytics applications, tools, and services reached $122 billion in 2024 and are projected to increase over 50% to reach $187 billion by 2023, according to IDC. 

Services related revenues are projected to account for over half of this market, followed by software and business analytics. The manufacturing industry will be the largest consumer of Big Data and associated technologies, accounting for close to $23 billion of the aforementioned Big Data sales.

The immenseness of the data produced daily creates challenges, as enterprises and organizations scramble to translate the data into value and data-driven business models. Data scientists and analysts are in such demand that analysts are warning of talent gaps in the near future. A similar demand is projected for managers who know how make data-driven decisions on processes and strategies.

Harness the Power of IoT and Big Data

The Big Data created and stored in an enterprise is unstructured. Rapid analytics are required in order to create the practical insights, which can improve margins and efficiencies. Platforms such as the open source Hadoop or IBM’s Watson offer data processing and analytical tools, which can identify trends, predict behaviors, detect patterns and enhance responsiveness – forging new opportunities for businesses, and improving relationships with customers.  

Similarly, IoT-enabled operations analytics platforms identify trends in operations and manufacturing, enabling companies to improve their efficiencies, more accurately manage controls, better track inventory and ultimately pad their bottom lines. Intelligent energy monitoring and analysis, for example, can detect anomalies and automatically generates actionable energy insights to reduce consumption and machine downtime while eliminating failures altogether.

New Economic Model

Put simply, Big Data and physical markets meet through the Internet of Things, and this convergence drives profit. Integration of data-driven decisions and processes as part of an enterprise’s physical operations creates remarkable value via improved efficiencies, increased productivity, and novel product offerings.

While physical markets aren’t going anywhere and the rise of the data economy does not signal a new world order, there can be no doubt that the Data Rush has altered the face of the commercial landscape forever, for the better.

Author Bio:

Yaniv Vardi is the CEO of Panoramic Power, a leader in device level energy monitoring and performance optimization.

We’re Still Not Sure Where The Novel Coronavirus Really Came From

Known as 2023-novel coronavirus (2024-nCoV), the disease seems to have started in the central Chinese city of Wuhan, which is now on lockdown. Five cases have been confirmed in the United States so far, along with patients in 15 other countries besides China.

Understanding a disease’s origin story is important, both because it helps epidemiologists track and prevent its spread and because a virus’s genetic makeup can inform the design of vaccines and treatments. The details of a contagion’s provenance can also help policymakers figure out how to prevent future outbreaks.

But researchers are a long way from knowing where 2023-nCoV really came from, said Nancy Messonier, director of the National Center for Immunization and Respiratory Diseases, at a press briefing on Monday.

Sequencing the disease’s genome and comparing it to other strains of coronavirus—such as Severe Acute Respiratory Syndrome (SARS), Middle Eastern Respiratory Syndrome (MERS), and even diseases that only affect non-human animals—has yielded a solid lead, Messonier said: It looks like it may be somewhat similar to a bat coronavirus.

Bats are believed to have been the source of both SARS and MERS. They “have an unusual immune system that can tolerate many different viruses without harm,” including rabies and coronaviruses, says Gregory Gray, an infectious disease epidemiologist at Duke University. And their ability to fly, he adds, brings them into contact with lots of other animals, which increases the likelihood a disease will evolve and spread.

In other words, their implication in the ongoing case is far from surprising. But even if bats are confirmed as the original culprit behind the contagion, their involvement won’t tell us exactly how 2023-nCoV got from them to us.

Epidemiological research—tracking down infected people and piecing together where they might have picked up the virus—can yield complementary insights. “Ideally, you want to ask questions of the people who were ill and find out what their common exposure was,” Gray says.

Early reporting on 2023-nCoV suggested that many cases had connections to the Huanan Seafood Market in Wuhan city. On Monday, Chinese state media reported that 585 samples taken at the market yielded 33 positive matches for the coronavirus’s DNA—31 of them in the area that sold undomesticated creatures like beavers and snakes. “The results suggest that the novel coronavirus outbreak is highly relevant to the trading of wild animals,” state media outlet Xinhua reported.

But outside research into the illness suggests that the disease may not have come from the market after all—rather, it may have come into the market. Speaking to Science, Georgetown University infectious disease specialist Daniel Lucey noted that since the virus seems to have an incubation period of up to 14 days and the first reported case emerged on Dec 1, it’s possible the initial human infection took place in November. And since the virus presents only cold-like symptoms in many individuals, Patient Zero—whoever they are—could have spread it to others long before health officials knew what to look for. That means it could have infected humans before even making it to the market under scrutiny.

In an interview published by the Infectious Disease Society of America’s global health blog, Lucey called for scientists to look beyond the Huanan Seafood Market and test animals and humans involved in the “supply chain of infected animals.” Animal-to-person transmission of the virus could have occurred “in one or more multiple markets, or restaurants, or farms, or with wild animals, legal or illegal trade,” he said.

“I think there’s a lot more to be done in terms of both the genetic sequencing, as well as the analysis of the epidemiological investigation, before we’re all going to be confident that we know how this started,” Messonier says.

The widely reported story about the disease’s origin in the seafood market echoes what happened with SARS in 2003, says Brown University medical anthropologist Katherine Mason. Many blamed that disease, which ultimately killed 774 people, on civet cats from another wet market. Later research traced the infection back further, showing it had initially jumped to civet cats from bats. The disease didn’t start with the civet cats—they were just a step along the way. To really understand a pathogen’s provenance and evolution, you have to look more closely.

The origins of 2023-nCoV remain mysterious, but Huanan—or other wet markets—may well have helped its spread. “It is certainly possible that this virus has been circulating in humans prior to early December,” says Columbia University epidemiologist Ian Lipkin. “But there is no question that this virus moved into humans from an animal source,” he says. And with their mix of wild and domesticated animals, he adds, wet markets “are risks to public health.”

But these locations aren’t alone in their ability to help spread disease; other habits that seem less exotic to those in the United States, like farming pigs and traveling internationally, can play a crucial role in enabling outbreaks. Even industrialized food chains in the United States spread food-borne bacterial contagions in everything from lettuce to ground beef with dangerous frequency. The picture of where disease comes from is more complicated than one source, and 2023-nCoV is a tangled web we must still work to unravel.

Update: The headline of this story has been updated to reflect the pandemic nature of the novel coronavirus, SARS-CoV-2.

Sorry, We’re Having Trouble Opening This Item In Outlook

Sorry, we’re having trouble opening this item. This could be temporary, but if you see it again you might want to restart Outlook.

If you also have this problem, then this post can be helpful. You must have already restarted Microsoft Outlook and your computer multiple times, but the problem would still be there. Thus, to solve your problem, the solutions covered in this post can come in handy. Before trying these solutions, you should also update Microsoft Outlook, and see if your problem is fixed. If not, check the fixes covered below.

Sorry, we’re having trouble opening this item in Outlook

To fix this Sorry, we’re having trouble opening this item. This could be temporary, but if you see it again you might want to restart Outlook problem on your Windows 11/10 computer, try the solutions listed below:

Restore Outlook default View Settings

Clear RoamCache Folder

Repair Outlook Data Files

Repair Outlook Account.

1] Restore Outlook default View Settings

If this problem starts occurring after making changes to the view settings, then you should restore the default view settings for your Outlook desktop client. This option has worked for many users and this may work for you too. Here are the steps:

Close Microsoft Outlook if you have opened it

Open the Run Command box using Win+R hotkey

Enter outlook.exe /cleanviews in the text box of Run Command

Press the OK button

When the command is executed, it will start loading your Outlook profile, and the Outlook interface will open

Again, open the Run Command box

Enter outlook.exe /resetnavpane in the text box

Press the OK button.

Now check if you are able to access the emails.

2] Clear RoamCache Folder

If the cached data of Microsoft Outlook that is stored in the RoamCache folder is corrupted, then also it can cause different problems including this trouble opening this item in Outlook error. So, in this case, you need to clear Microsoft Outlook cache data. It won’t delete your Outlook emails, contacts, and other data. Only the cache data will be cleared which will be recreated automatically. Follow these steps:

Open File Explorer

Paste the following path in the address bar of File Explorer:


Press the Enter key

Select all the data present in the RoamCache folder

Delete them.

Related: Outlook not sending emails in Windows, With or Without attachments.

3] Repair Outlook Data Files

The Outlook Data File (.ost and .pst) contains your Outlook messages or emails and other items. If your Outlook Data File has become corrupted, then it may lead to various issues. And, this could be the reason that you are not able to access emails in your Outlook desktop client. Therefore, you should repair your corrupt Outlook Data File. For this, you can use the built-in Microsoft Outlook Inbox Repair tool that helps to repair corrupt Outlook PST and OST personal data files.

Before doing that, you should also backup your data files first, so that you can restore them if needed. For this, open File Explorer, and access the Outlook folder. Here is the path:


In that folder, copy the .ost and .pst data file(s) available for your Microsoft Outlook account(s), and paste them to some other folder in your Windows 11/10 computer.

4] Repair Outlook Account

If the above options don’t help, then you should repair your Outlook account or profile. This option works when Outlook doesn’t sync emails, you are not able to receive and send emails, etc. It might also work when you aren’t able to access emails and face this problem. Here are the steps:

Open Microsoft Outlook client

Open Account Settings drop-down menu

Access the Email tab in that box

Select an account or profile

Press the Repair button.

Now follow the steps in the repair wizard and then restart Microsoft Outlook. Your problem should be gone now.

Hope this will help.

How do I fix Outlook Email not opening?

If you are not able to open emails received in the Outlook desktop client, then you can try the following solutions:

Delete Outlook Cache

Restore Outlook View Settings

Repair your Outlook Data Files, etc.

You can check step-by-step instructions for each of these solutions in this post above.

Can’t open this item Outlook has already begun transmitting?

Users may receive such an error when they try to send a large email and it got stuck in the outbox of Microsoft Outlook. But you can either send emails that are stuck in the outbox of Microsoft Outlook to solve this problem or delete the culprit email. For this, you can try the following solutions:

Drag the email to Drafts and delete it

Turn on Work Offline mode in Outlook and then delete the email.

Read next: What is Email encryption & how do you encrypt email messages.

Uses And Examples Of Cash Equivalents

Definition of Cash Equivalents

Cash equivalents are those short-term investment securities that are highly liquid, i.e., which can be easily converted into cash. They generally have a maturity period of 90 days or less and do not have any restrictions attached to them, which makes it easy to convert them into cash in a shorter period. They usually carry a low level of risk and high credit quality.


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Examples of Cash Equivalents

Here are some examples :

Commercial Papers: Large corporations issue a bearer instrument or promissory note to satisfy their immediate liabilities.

Treasury Bills: Treasury bills or T- bills are generally government securities. Once the government pays the full maturity amount for the mature securities, they normally offer no interest but are issued at a discount.

Certificate of Deposit: Banks offer certificates of deposit (CDs) to raise money from the secondary market. CDs have a fixed interest rate and a set maturity time.

Marketable Securities: These products are exchanged on a public exchange and include both equity and debt. They are regarded as cash equivalents since their pricing is readily available on the open market.

Other Money Market Instruments: Apart from the above, there are other money market instruments as well, such as bankers’ acceptances, bills of exchange, repurchase agreements, short-lived mortgages, asset-backed securities, etc.

What Does Not Belong in Cash Equivalents?

The concept behind cash equivalents is that there shouldn’t be any restrictions on the particular investment instrument and that it can be easily converted into cash.

Another exception is inventory, a current asset that cannot be readily converted into cash in a general market scenario.

Uses of Cash Equivalents

These have a number of uses, as follows:

They can be applied to short-term obligations of the company, including account payables.

They can be used to make purchases such as operating costs, inventory, and other items.

They indicate the liquidity position of the company. The higher the cash equivalent, the higher the liquidity.

They help in the financing of acquisitions.


The company often invests to earn interest on the funds until they do not need them.

They are highly liquid, and thus, they can be easily converted into cash at a time of need.

Sometimes it helps in financing acquisitions of the company.

In a way, it is a loss of revenue. Suppose a company invested more cash equivalents than necessary due to market conditions or other reasons. It would undoubtedly result in a loss of income because the company would have earned a higher rate of interest if it had invested the money somewhere else.

They generally have a lower rate of return, and they need help to keep up with the inflation rate.


It is clear from the above discussion that cash equivalents are an integral part of the company’s current assets and working capital. It helps maintain liquidity, meet operating expenses, and pay off short-term debts. The amount of cash equivalent on the balance sheet provides information regarding the company’s operating strategy. It differs and depends on the industry the company is operating in and its growth stage and strategy.

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Where To Buy A Rolex With Crypto?

Cryptocurrencies are becoming a customary payment method. And while in 2010 you could only buy pizza with BTC, now the list of things you can get with Bitcoin is longer and includes luxury items.

Many Bitcoin holders decide to invest in some luxury items to avoid a BTC price crash, scared they might leave money on the table.

If you also want to buy a Rolex with crypto or invest in other luxury items with cryptocurrency, read this article. We will cover everything you need to know about this topic, including where to buy a Rolex with crypto and how to buy it. We will also answer the most common questions about buying watches with crypto. 

So, let’s go! 

Where to buy a Rolex with crypto – Overview 

Crypto Emporium

– Overall the best website to buy a Rolex with crypto.

Prestige chúng tôi – a renowned luxury watch shop that accepts Bitcoin.

Jura Watches – one of the best places to buy a Rolex with crypto in the UK.

Here is more about each website.

Crypto Emporium

Crypto Emporium is the world’s first and only e-commerce store that only accepts crypto as a payment method. In the store, you can find a variety of high-end products like cars, watches, yachts, property, motorbikes, merch, and more.

The main goal of Crypto Emporium is to make crypto what it’s supposed to be – a digital currency used for transactions and as a payment method. You can shop at Crypto Emporium from 125 countries worldwide.

Crypto Emporium also has a rewards program, allowing you to earn great rewards while shopping. Moreover, you can also become an affiliate partner or seller on the platform. Other than Bitcoin, you can also pay with Ethereum, Litecoin, Tether, Ripple, Dash, and Dogecoin. 

Prestige Time

Prestige Time was one of the first online shops to offer Bitcoin as a payment method. The shop has a simple process in which you can buy a Rolex with crypto in a few easy steps. You can connect the following wallets to your cart and make a purchase:

Copay Wallet

Mycelium Wallet

Electrum Wallet

Bitcoin Core (Satoshi client) Wallet

BRD Wallet

Airbitz Wallet

Besides Rolex, you can find brands like Longines, Hublot, Breitling, or Chopard on Prestige Time. The shop has operated since 1999, and you can find a wide range of watches for women, men, or preowned watches from different brands.

Jura Watches

Established in 1979, Jura Watches is a family-run luxury watch shop that sells luxury brands like IWC Schaffhausen, Breitling, TAG Heuer, Gucci, Grand Seiko Bell & Ross.

This is also the biggest retailer in the UK that offers free shipping on all orders and a gift with every order. If you want to buy a Rolex with crypto, or any other watch, you should choose Bitcoin as your payment method on the checkout page. Except for Bitcoin, you can also pay with ETH, Tether, BNB, and more. 

What is the Best Place to Buy a Rolex with Crypto?

Trusted Since 2023

Competitive Prices

Delivery To 125+ Countries

Certified Authentic Products

24/7 Customer Support

Order Tracking via Email & SMS

How to buy a Rolex with crypto on Crypto Emporium?

Buying Rolex is straightforward. Follow the next steps.

In the categories section, choose watches and then Rolex. 

You will be redirected to the collection page to browse Rolex watches. 

You will get a new window asking you to continue shopping or proceed to checkout.

You will be asked to scan a QR code to send the coins to Crypto Emporium’s wallet.

And that is everything. You bought a Rolex with crypto!

Final Thoughts

Bitcoin is becoming an often payment method as many online stores accept it for transactions.

Many luxury items, including Rolex, can be bought using BTC in a few easy steps. The best place to buy a Rolex with crypto is Crypto Emporium – the first crypto-only e-commerce store. So, visit the shop and buy your Rolex today.

Frequently Asked Questions: Buy a Rolex with crypto Can you buy a Rolex with BTC?

Buying a Rolex with BTC or any other crypto has never been easier. More and more online stores are now introducing crypto as a payment option. All you have to do to buy a Rolex with BTC is to have your digital wallet and a sufficient amount of BTC, and you’re all set.

Where to buy watches with Bitcoin?

Crypto Emporium is the best place to buy watches with Bitcoin. This online store is a crypto-only platform, and you can purchase various luxury items with Bitcoin, Ethereum, Litecoin, and more cryptocurrencies.

How can I buy a Rolex immediately? 

You can buy a Rolex immediately at Crypto Emporium. The process is simple:

Scan a QR code to send the coins to Crypto Emporium’s wallet and finish the order.

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