Trending March 2024 # Microsoft Plans To Transform Windows Into A Cloud # Suggested April 2024 # Top 4 Popular

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Microsoft has long been a leader in the operating system market, and its Windows platform is used by billions of people around the world. However, Microsoft plans to transform Windows into a cloud-based service. This means that users would no longer need to install Windows on their devices but would instead be able to access it as a service streamed from the cloud.

Transform Windows into a Cloud-Based Service

Microsoft has announced a groundbreaking initiative aimed at making Windows 11 accessible to all users, revolutionizing how we interact with operating systems. The tech giant’s ambitious vision centers around Windows 365, a cloud-based service that enables the streaming of a full Windows operating system to any device, offering enhanced AI-powered services and a consistent digital experience across platforms.

Windows 365: A Subscription-Driven Future

Following the positive reception of Windows 365 among businesses, Microsoft is now working on bringing a subscription-based version of Windows 11 to individual consumers. This new subscription is known as Windows 365, will enable people to access a Windows PC that is stored in the cloud and can be used on any device. With this service, users will have the flexibility to move between different devices while maintaining a consistent digital experience.

A Glimpse into Pricing and Features

We have some early information about the pricing and features of the consumer Cloud PC. The suggested price is around $10 per month, but please keep in mind that this might change as it is not finalized yet. Additionally, Microsoft is thinking about offering a family subscription. This would allow parents to access their children’s Cloud PCs to help them with homework or enjoy interactive activities together.

Windows as a Subscription Service in Cloud Ecosystem The Potential of a Cloud-Based Future

Microsoft’s move towards a cloud-based offering is a big step for them and could change how we use operating systems. It could make computing, being productive, and creating content more accessible to everyone. With a cloud-based Windows ecosystem, Windows could work on any device, even if it doesn’t meet the usual requirements. This means that even Mac users might be able to use Windows easily with this new approach.

Embracing a Cloud-Powered Vision

Even though the regular version of Windows will still be widely used, Microsoft sees a future where streaming Windows from the cloud becomes a popular choice for some users. As we rely more on internet-connected apps and services, the idea of using Windows through the cloud becomes more realistic and attractive.

A Journey in Progress

Microsoft is aiming to make Windows available to everyone through cloud-based Windows 365. This could lead to a significant transformation in the future of operating systems and computing experiences.

Also Read: Windows 11 Moment 3 Features: Why Microsoft Wants You to Have Them.


Microsoft’s plans to transform Windows into a cloud-based service are a major development that could have a significant impact on the future of computing. While there are some potential drawbacks to this approach, such as the need for a reliable internet connection, the potential benefits, such as increased security, lower costs, and the ability to access Windows from any device, could be significant. It will be interesting to see how consumers react to this change and how it ultimately plays out.

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Facebook Details Big Plans For A ‘Privacy

Facebook details big plans for a ‘privacy-focused’ platform

On Wednesday, Facebook CEO Mark Zuckerberg announced a radical change in focus for the beleaguered social media company, stating that it will shift to a privacy-focused platform emphasizing end-to-end encryption, increased user control over personal data, and more. The changes will take years to implement, according to Zuckerberg, who said in his announcement, “I believe working towards implementing end-to-end encryption for all private communications is the right thing to do.”READ: How to see your Facebook info shared with Cambridge Analytica

Facebook has a very poor reputation when it comes to user security, an issue underscored by the Cambridge Analytica scandal that surfaced in early 2023.

Though Facebook has taken arguably minimal steps toward improving user control over data and increasing message privacy, many changes have largely been reactive, happening only after a new leak or scandal highlighted additional problematic issues or practices.

That reality makes Zuckberg’s new revelation both expected and hard to believe. It makes sense for the company to shift toward privacy-centric features in light of its reputation, or else it risks losing the users who haven’t already fled its service. At the same time, Facebook’s own history makes it difficult to believe the company could ever make a substantial, notable shift toward a truly secure and private platform.

According to Zuckerberg, Facebook will make a number of changes over coming years, including reducing the permanence of user content, adding end-to-end encryption across all of its messaging services, establishing private interactions “as a foundation” of the service, improving user safety, securely storing user data, and secure interoperability.

Facebook will need to work through multiple issues related to these goals, Zuckerberg said, and most of the company’s work on the matter is still ‘in the early stages.’ Zuckerberg acknowledged the skepticism critics will direct at the company, saying:

I understand that many people don’t think Facebook can or would even want to build this kind of privacy-focused platform — because frankly we don’t currently have a strong reputation for building privacy protective services, and we’ve historically focused on tools for more open sharing. But we’ve repeatedly shown that we can evolve to build the services that people really want, including in private messaging and stories.

Though questions remain about what the final products will look like in a world where Facebook prioritizes privacy, the company’s announcement indicates that key features will remain, including the ability to send money to other users. Zuckerberg explains:

We plan to build this the way we’ve developed WhatsApp: focus on the most fundamental and private use case — messaging — make it as secure as possible, and then build more ways for people to interact on top of that, including calls, video chats, groups, stories, businesses, payments, commerce, and ultimately a platform for many other kinds of private services.

The privacy-focused platform won’t replace the company’s public platform, however, with Facebook and Instagram plodding on in their more familiar, open, forms.

How To Choose A Cloud Hosting Service

Not sure what cloud computing is, or how it can benefit your business? In this article, I’ll introduce you to the cloud, help you interpret the buzzwords, and explain how your business might save time and money using a cloud hosting service such as Windows Azure, Amazon EC2, or Rackspace.

Discovering the Cloud and Cloud Computing

People use “cloud” as a buzzword when describing either the Internet or an intranet in association with some type of service or application offering. When you hear the term “public cloud,” think of the Internet; when you hear “private cloud,” think of your company’s intranet. Usually, “cloud” by itself refers to the public cloud.

The phrase “cloud computing” refers to Internet or intranet applications and services that you typically access, run, or manage via a Web browser. Such services often don’t require you to install software on your computer.

Here’s another way to look at it: Cloud computing is the delivery of computing as a service rather than as a product. Instead of purchasing, installing, and running a program on your local computers, the program runs on the provider’s computers, and you pay a monthly or yearly fee for access.

You can find three main types of cloud computing service providers.

Software as a Service (SaaS) providers, such as Google Docs, Microsoft Office 365, and Salesforce, are services designed for end users. As such, they represent the end result of cloud computing.

Platform as a Service (PaaS) offerings, such as Windows Azure, are services that IT personnel use in application development and for providing applications (SaaS) and Web hosting to end users. Basically, your IT staff gets remote access to virtual computers hosted at the provider’s data centers. PaaS providers typically offer a managed Windows or Linux operating system, which means that your business can dedicate more resources to development and fewer to configuring and maintaining the OS. The trade-off is that your IT personnel will have less control over the underlying OS.

Infrastructure as a Service (IaaS) providers, such as Amazon EC2 and Rackspace Cloud Hosting, are similar to PaaS providers, but they usually offer your IT personnel more control over the OS. Although they typically don’t provide automatic OS updates, your business can use the raw infrastructure to develop and deploy applications on pretty much any platform or OS.

PaaS and IaaS Providers

I’ll focus on PaaS and IaaS providers here. If you’re familiar with the concept of virtual computing, you might think of these services as providing virtual machines (like VMware or VirtualBox) via the Internet.

PaaS and IaaS providers supply access to their shared data centers, giving you the reliability, redundancy, and security of a global enterprise data center network. This saves you time and money, because you don’t need to purchase and set up servers from scratch, and you pay only for the resources you consume. These services are particularly cost-effective for short-term projects, but they also deliver scalable, on-demand resources. For instance, within minutes you can double the amount of memory that your website might need to respond to a surge of end users.

One of the drawbacks of using a cloud computing host is that your data resides on another party’s servers. This arrangement might raise privacy and security issues for companies dealing with sensitive data, but you can mitigate the risk by employing data encryption and choosing a cloud host with security certifications and accreditations.

Most PaaS and IaaS providers offer per-hour pricing for each instance, role, or server. Each of these is, in essence, a separate virtual computer on which you can run one, a few, or even hundreds of applications.

Windows Azure

The PaaS platform Windows Azure can supply and manage the operating system, which is great if your applications don’t require a specialized OS. You can concentrate on building, deploying, and managing cloud applications without worrying about OS updates and patches.

Windows Azure offers three main roles, or OS choices.

Web role: This Windows Azure-supplied OS, preloaded with Internet Information Services 7, permits the development of applications using Web technologies such as chúng tôi PHP, and Node.js.

Worker role: This Windows Azure-supplied OS can run arbitrary code or host any type of application (including Apache Tomcat and Java Virtual Machines), and you can use it in conjunction with a Web role.

Virtual Machine role: You, the customer, supply the OS by uploading a Windows Server 2008 R2 (Enterprise or Standard) VHD image. Unlike with the Web and Worker roles, with this role (currently in beta) you’re responsible for keeping the OS up-to-date.

You can use any language, framework, or tool to build applications on Windows Azure. Features and services are exposed through REST (Representational State Transfer) protocols. The Windows Azure client libraries are available for multiple programming languages, and are released under an open-source license. They are hosted on GitHub.

Microsoft offers a three-month free trial of Windows Azure that includes the company’s Small Compute instance and other resources sufficient for IT personnel to test and become familiar with Windows Azure. Like other cloud hosts, Microsoft has a pay-as-you-go pricing scheme, a per-hour cost for each role when deployed. You can estimate your monthly bill using the company’s calculator.

Microsoft’s service level agreement guarantees 99.95 percent uptime for its compute services when you have at least two instances of a role running.

SQL Azure provides a scalable relational cloud database service built on SQL Server technologies that Windows Azure applications or your on-premises applications can use. It supports exporting and ongoing synchronization with your on-premises databases. You can pay as you go, or make a six-month commitment for reduced pricing; in either case, you can purchase this feature independently or along with other Windows Azure platform products.

Microsoft’s cloud storage lets you store structured or unstructured data for use with your Windows Azure applications or other applications via REST and managed APIs. You can also mount storage as virtual hard drives inside your Windows Azure applications by using the Windows Azure Drive feature, and you can move your virtual hard drives between private and public clouds. Microsoft offers pay-as-you-go pricing for Windows Azure Storage and Windows Azure Drive.

Next Page: Amazon Services, Rackspace, and How to Choose a Host

Inverse Fast Fourier Transform (Ifft)

The Inverse Fast Fourier Transform (IFFT) is an algorithm that is used to convert a frequency domain signal, obtained through the Fast Fourier Transform (FFT), back to its original time-domain representation. It is a widely used algorithm in various fields such as digital signal processing, image processing, and telecommunications. The IFFT is a powerful tool for analyzing signals and detecting patterns in complex data sets.

The FFT was first introduced in 1965 by Cooley and Tukey as a faster alternative to the Discrete Fourier Transform (DFT). The algorithm gained widespread use in the scientific community due to its ability to efficiently calculate Fourier Transforms of large datasets. The IFFT was later developed as the inverse of the FFT, allowing for the reconstruction of time-domain signals from their frequency domain representation.

Key concepts and principles

The IFFT is based on the principles of the Fourier Transform, which is a mathematical technique used to analyze signals and extract information about their frequency content. The Fourier Transform takes a time-domain signal, such as a waveform, and breaks it down into its individual frequency components. This frequency-domain representation can then be manipulated or analyzed before being transformed back into the time-domain using the IFFT.

The IFFT is an efficient algorithm that can compute the inverse transform of a signal in O(n log n) time, where n is the size of the input signal. The algorithm works by first reversing the order of the frequency-domain signal and then applying the FFT algorithm on it. This process results in a complex-valued time-domain signal that can be transformed into a real-valued signal by taking its magnitude.

Pseudocode and implementation details

The following pseudocode shows the basic steps involved in computing the IFFT:

function IFFT(signal): N = length(signal) if N == 1: return signal else: signal_even = IFFT(signal[0::2]) signal_odd = IFFT(signal[1::2]) factor = exp(-2*pi*j/N) signal_out = [0]*N for k in range(N//2): signal_out[k] = signal_even[k] + factor**k * signal_odd[k] signal_out[k + N//2] = signal_even[k] - factor**k * signal_odd[k] return signal_out

The algorithm recursively divides the input signal into two halves until the base case of a single sample is reached. The even and odd halves of the signal are transformed using the IFFT, and then combined using complex exponentials to form the final time-domain signal.

Implementation details may vary depending on the programming language and platform used.

Examples and use cases

One common use case for the IFFT is in audio processing, where it is used to filter noise from a signal. In this case, the frequency-domain representation of the signal can be analyzed to identify the frequencies of the noise components. These frequencies can then be removed from the signal by setting their coefficients in the frequency domain representation to zero, before transforming the signal back to the time-domain using the IFFT.

The IFFT is also used in image processing, where it is used to perform operations such as convolutions and filtering. In this context, the IFFT is used to transform the frequency-domain representation of an image, apply a filter or convolution kernel, and then transform the result back to the time-domain.

Related algorithms or variations

There are several related algorithms and variations of the IFFT that are used in signal processing and related fields. One common variation is the Cooley-Tukey FFT algorithm, which is used to compute the FFT of a signal in O(n log n) time. Another related algorithm is the Discrete Cosine Transform (DCT), which is used in image and audio compression algorithms such as JPEG and MP3.

Infosys Engineering Cloud Is A Unique Core

1.How is Infosys enabling its clients to simplify their digital transformation journey of core engineering processes?

Infosys provides a comprehensive portfolio of engineering services with strong product development experience, spanning more than 25 years, to clients across the life cycle from product development, product manufacturing support, operations, and maintenance. Digital transformation is moving at a faster pace across industries helping organizations to increase their competitive edge and to improve better customer experience by creating next-generation smart, connected, and autonomous products and services. It is also helping organizations improve their efficiencies across the value chain through digital technologies.

Infosys aligns with the changing needs of the industry in four broad themes such as digital thread (Industry 4.0), Next Generation Mobility, NextGen Collaboration and Connectivity encompassing 5G, NextGen Platform engineering through cloud-native engineering. Infosys industrial automation, plant automation & controls, and Industry 4.0 services like IOT, Cloud Engineering, 5G, Robotics, and autonomous systems aim to improve the efficiencies in the manufacturing shop floor.

The digital thread offerings include integration of Engineering Technology (ET), Operational Technology (OT), and Information technology (IT) services across the value chain for industries like Aerospace, Automotive, Turbomachinery, Heavy Engineering, etc.

The ET services span across Computer-Aided Design (CAD), Computer Aided Engineering (CAE), Computer Aided Manufacturing (CAM), Product Life Cycle Management (PLM), Knowledge Based Engineering (KBE), and Model-based System Engineering (MBSE).

The OT services include industrial automation, Plant automation and controls, and Manufacturing Execution Systems (MES) across the ISA 95 stack.

The IT services include Enterprise Resource Planning (ERP) and scheduling offerings.

Infosys developed Industry 4.0 maturity index under the umbrella of Acatech Germany to understand the current Industry 4.0 maturity on the shop floor and define the Industry 4.0 roadmap for its clients. This maturity index has been a foundation for our engagement with our clients. It provides an end-to-end framework from consulting to implementation across the manufacturing shop floor covering various efficiencies like operations, maintenance, information, and energy.

Infosys’ digital engineering services through 5G, Cloud, IoT, AI, Robotics, Autonomous Technologies, Digital Twin, AR, VR, Cyber security, and blockchain provide value across the product life cycle from design to manufacturing to operations to maintenance.

Infosys as an ecosystem integrator has a vibrant partner ecosystem with the leading product vendors. Our ready-to-deploy IP and solutions like Connected Ops on Cloud, Machine connectivity framework, Infosys edge gateway, and Pharma Manufacturing Insights, to name a few, are solutions to reduce the time to digital transformation and go live.

2.How is Infosys using the power of engineering cloud to support enterprises?

Infosys Engineering cloud service focuses on the cloud transformational journey of our customers integrating their infrastructure, tools, and processes. This transformation helps to sense the problems in real-time, take corrective actions at a much faster pace, predict the future, and plan to increase business resilience.

“Infosys Engineering Cloud” built as part of Infosys engineering cloud practice is an Industry leading and first-of-its-kind core-engineering platform, solutions, IPs, and accelerators with the power of cloud technologies, which propels Digital Engineering Transformation for our clients across the value chain.

This brings for the first time, all facets of product engineering namely R&D, manufacturing, operations, support, and maintenance into a cloud-enabled model.

Engineering cloud provides visibility, flexibility, scalability, availability & adaptability of engineering systems providing reusable solution architecture, reference design, solution accelerators, POV and best practices based on industry implementations to cater to the market demands precisely.

Infosys developed many solutions on the cloud for engineering and manufacturing enterprises. These include PLM on the cloud, Connected operations on the cloud, etc.

Infosys has a strong cloud-native engineering practice to architect and reengineers applications for cloud. Infosys has a strong partnership with hyper scalers like Azure, AWS, and Google, and engineering platform providers like Dassault Systems, PTC, Siemens, etc. Infosys has developed and deployed many IoT platforms on the cloud for the manufacturing enterprise.

Infosys Agile digital frameworks like “connected operations on cloud” which is cloud agnostic as a service enables pre-configured solutions to revamp industrial manufacturing with predictable outcomes.

3.As organizations strive towards achieving sustainability by implementing sustainable practices, how is Infosys providing them with measurable business value across the product cycle?

Infosys aggressively pursues ESG goals internally across its campuses. Infosys built and deployed systems internally for energy efficiency, water management, and waste management. Infosys is utilizing this experience in building smart connected and energy-efficient products and processes. This holistic approach brings together the best of tactical and strategic initiatives for the enterprise. The tactical engagements help realize immediate needs while the strategic initiatives help in realizing ESG goals consistently. Infosys is carbon neutral and focuses on green energy alternatives like Solar and wind for its campuses.

Infosys’ sustainability practice brings together best practices in implementing sustainable solutions across its enterprises like smart campuses, smart equipment, smart factories, and smart utilities. Our sustainability initiatives focus on a circular economy centered around people, the planet, and prosperity dimensions. Infosys brings the best of consulting and technology implementation practices focusing on both greenfield and brownfield environments through digital technologies. Infosys helped customers win global awards in their journey toward sustainability.

4.How do you see disruptive technologies such as cloud emerge as a trend in the industry in the near future / what is the future of engineering cloud services in India?

Cloud adoption in manufacturing is growing rapidly. Manufacturing will undergo a large-scale, technology-led transformation.  That will also include industrialized deployment across the plants while at the same time implementing comprehensive Industry 4.0 solutions. This will utilize emerging technologies like AR/VR, AI/ML, 5G, Blockchain, Robotics, Automation, and so on. A few aspects that we will see the industry adopt in terms of disrupting technologies will be:

Hyper Automation with Computer Vision, Video Analytics, and Autonomous Technologies that will drive more automaton resulting in more productivity, reconfigurable manufacturing shop floor, and resilient to supply chain issues.

The intersection of IoT and Blockchain will ensure trust, transparency, and traceability enabling a very secure and trusted data exchange platform with multiple stakeholders.

Infosys believes sustainability is going to be the future and an integral part of our services. Digital products and processes will provide immense opportunities. Newer technologies like electric vehicles and hydrogen vehicles will provide immense opportunities in the future.

To maximize the potential of 5G, customers need to look at the opportunities to integrate the offerings vertically. For example, private 5G can benefit the manufacturing industry by improving the operational efficiencies of autonomous and remote-guided vehicles. Infosys is working with one of the leading auto manufacturing brands integrating Private 5G management, 5G network stack, and Edge infrastructure for remote guided vehicle operations and management.

Cloud is a technology disruptor for the engineering enterprise to improve efficiencies across the value chain and enable people to work from anywhere especially in the post-pandemic era to make operations reliable, sustainable, and efficient. It enables the smooth integration of operational technology with information technology. It helps realize both horizontal and vertical integration smoothly making the whole process cost-effective and efficient. Digital transformation in Manufacturing is driven by major trends in Cloud engineering to help them succeed.

With the use of ‘Industry cloud’ for manufacturing which accelerates the transformation with contextualized building blocks, process, and infra capabilities designed to serve core processes and requirements of the manufacturing industry.

AI Platforms that enable the required capabilities for huge amounts of data hosting, processing, and contextualized insights for quick decisions for manufacturing industries.

Indian-based manufacturing industries and global customer manufacturing facilities in India also are adopting the above and are seeing increased traction.

5.How is Infosys contributing to the sector in India?

Infosys is helping organizations in their digital transformation journey. Infosys is utilizing its Industry 4.0 maturity index reference framework, solution components, and Innovation Labs in the areas of IOT, 5G, Robotics, Cloud Engineering, and Autonomous technologies to help the manufacturing industry in its digital transformation. These solutions are being implemented in Indian native industries, global client manufacturing facilities, and defense establishments. Some of these customers include automotive, aerospace, heavy engineering, shipbuilding, railways, etc., with use cases like automated inspection, predictive maintenance, and remote monitoring, etc.

How To Transform The Data Layer With Google Tag Manager

Have you ever run into problems where the data layer provided the right information, but it wasn’t in the format you could use?

A data layer includes all of the information you want to pass to Google Tag Manager into the data layer, and triggers can be set up based on the variables’ values or specific events. 

An overview of what we’ll cover: 

So let’s dive in!

Understanding the Data Layer

We have large quantities of built-in data in our data layer. However, we might only want to pull specific information according to our needs. 

The built-in data layer variable may not be useful in such instances, as the variable can only pull specific key-pair values.

Moreover, a built-in variable can’t transform the data according to your Tag needs. 

This is where we can use the power of custom JavaScript to accomplish our goals. 

We recommend that you learn the basics of JavaScript to follow along with this guide. 

Moreover, we’ll also provide you with Tags, triggers, or variables and their codes that you may need to follow this tutorial.

Let’s open our Google Tag Manager account. We have already put our browser into preview and debug mode.

But before we start, let’s go through some examples of transforming the data layer. 

Transforming the Data Layer

The most important aspect of pulling the information from the data layer is to transform the data layer into the right format. 

Let’s open a page to understand the format of the data layer. 

We’ve opened the Thank You page on our website. 

As we’re in preview and debug mode, we can access the Data Layer from the quick preview window on the browser. 

This is a custom data layer. Our transaction event data contains various key-pair values of the data. 

There are two different ways of deploying the data into Google Analytics. This particular format of data is called classic or Standard eCommerce tracking. 

There is also an Enhanced eCommerce tracking system. 

Both of these methods require different types of implementation of the data layer. 

Unfortunately, these tracking methods are not compatible with each other. 

So if you want to switch over from the classic eCommerce tracking system provided in the GTM data layer, you’ll need to reimplement the enhanced eCommerce tracking system. 

Your data will still remain the same, but just in a different format. 

We have come up with a solution to switch data formats without reimplementing the complete data. 

It’s a script that is built with the help of variables. So let’s open Variables and configure them. 

You can download our data layer transform template. Upload those templates to your GTM account. 

Let’s take an example of a custom JavaScript variable. 

It takes the input of the transaction values from the data layer, goes through various products, and pushes that data into an enhanced eCommerce checking object. 

In general terms, we’ll transform our standard eCommerce data layer into an enhanced eCommerce checking object. 

You can verify its output by navigating to the transaction → Variables section in the GTM preview window of your browser. 

We can use this enhanced eCommerce tracking object to send the transaction data to Google Analytics. 

You can easily perform this action by altering the data course in your Tags. 

Navigate to your transaction event Tag, and modify the enhanced eCommerce features to read the data from the variable, instead of using the data layer. 

This way, we can use the enhanced eCommerce tracking with the help of our transformed data layer into an enhanced eCommerce tracking object. 

This is just one example of taking the data and transforming it according to our specific needs. 

You can also piece together certain data points from the data layer itself and format them in your chosen format. 

Let’s see how! 

Formatting the Data Layer Ready for Output

In our example, we have enhanced eCommerce tracking data layer installed for a Thank You page on the website. 

We’ll pull specific product details to push them into an array. 

This can be very important in certain situations. 

Along with the currency values, we’ll also need the data of the purchased products on the website. 

We have different product IDs that can be transferred by using a code. We need to access them and transfer them into the correct format. 

We solved this problem by creating a custom JavaScript variable that can pull out the correct product IDs from the given data layer. 

First, let’s access the enhanced eCommerce tracking data layer, access the purchase summary through it, and then access the product ID. 

Our path will be to access eCommerce tracking → purchase → products. 

Finally, we’ll configure a for loop in our code that accesses all the products and pushes the IDs back to our array. 

Additionally, we’ll add a return function following the for loop. 

Let’s see what it looks like. 

Navigate to transaction → Variables on the GTM preview window of the browser. 

If the configuration is correct, you’ll see the product IDs accessed by the custom JavaScript variable in the correct format. 

We can now use these values for our Facebook transaction pixel. All you need to do is create a new Facebook audience Tag. 

Add the predefined variable in the base code to push the right content for product IDs. 

Overall, we have taken our custom JavaScript variable to access our predefined data layer, pull out pieces of information and transform them into a variable that can be used in our techs.

Another use can be to go through all the products and count their quantity metric data.

We’ve built a custom JavaScript product quality variable for counting the metrics. You can find the template for this Tag as well on our website.

Pushing New Data into the Data Layer with JavaScript

This example specifically deals with importing data that is already available through other forms of implementation. 

Suppose we already have a data layer implemented on the Thank You page, but the data is in the Qubit format. 

Qubit is software that offers a wide range of capabilities and personalization on the platform. 

 It uses its own data layer called the universal variable, which is implemented on a new page. This is a data layer that is stored in a JavaScript variable. 

The code can be easily accessed through the developer tools. If you aren’t familiar with them, check out our handy guide on developer tools for marketers.

Navigate to the developer tools and enter the JavaScript Console and input the universal variable. 

You’ll find the object that contains all the data points. 

We’ll import this data and transform it into a usable format in Google Tag Manager. However, we need to push the data without implementing a new data layer into our plan. 

We can create a custom Tag and push this data through JavaScript into our data layer. Let’s open Google Tag Manager. 

We have created a Tag that takes our syntax of the data layer. You can find the Tag template on our website. 

It checks whether the data is already available or not, and then pushes our universal variable key into our data layer. 

Let’s see what the implementation would look like. 

After installing the Tag, let’s open the preview and debug console and refresh the website.

Open the universal_variable → Data Layer. You’ll see the information as a part of the data layer. 

So, overall, we have imported the outside variable into our data layer to make the information accessible. 

You can use this effectively if you have an existing tag management system or personalization system that can hold your data and implement it into your data layer. 

FAQ What is the purpose of transforming the data layer with Google Tag Manager?

Transforming the data layer with Google Tag Manager allows you to modify the format and structure of the data being passed to GTM. By transforming the data layer, you can ensure that the information is in a usable format for your tags, triggers, and variables within GTM, enabling you to track and analyze the desired data effectively.

How can I access and transform specific information from the data layer?

To access and transform specific information from the data layer, you can utilize custom JavaScript variables within Google Tag Manager. These variables allow you to write JavaScript code that extracts and manipulates the desired data points. By configuring the variables correctly, you can transform the data into the format you require for your tracking needs.

Can I push new data into the data layer using JavaScript?

Yes, it is possible to push new data into the data layer using JavaScript within Google Tag Manager. If you have data available through other forms of implementation, such as a different data layer format or an external system, you can create a custom Tag in GTM that utilizes JavaScript to import and push the data into the data layer. This enables you to make the additional data accessible for tracking and analysis within GTM.


So that’s how you can build your own data layer variables, Tags, and triggers, and transform the data layer according to your specific needs. 

The data layer contains information about all the events or variables. You can use this information effectively by using the tools on your GTM account. 

Additionally, once you have transformed the information in the data layer, you can also try to pull the information from the data layer variable into your Google Analytics account.

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