How does tableau work?

Data Analysis is the art of presenting the data in a manner that even a non-analyst can understand. A perfect blend of aesthetic elements like colors, dimensions as well as labels is good at creating visual masterpieces, that reveal the surprising business insights that in turn helps the businesses to make the informed decisions. Data Analysis is an unavoidable part of business analytics. Since more and more sources of data we're getting discovered, business managers at various levels use the data visualization software that allows them to analyze the trends quickly visually and take quick business decisions.  Tableau is one of the fastest-growing business intelligence and data visualization tools. In this blog post, today we were going to discuss the working of tableau in real-time. Tableau is a business intelligence tool for the visual analysis of data. Through tableau, users can create and distribute an interactive and shareable dashboard. Through this business intelligence tool, we can depict the trends, variations, and density of data that can be represented in the form of charts and graphs.  Through this tool, users can connect the files, relational databases, and other big data sources to acquire and process the data. This software allows data blending and real-time collaboration that makes it unique. This data analysis is used by businesses, academic researchers, and many government organizations for visual data analysis. Are you new to the phrase tableau? If so check out our post on What is tableau? How does tableau work? The working of data in tableau with the real-time data can be understood through the following steps: Tableau offers five different products to diverse the visualization needs for professionals as well as organizations.  They are: Tableau Desktop: Made for Individual use Tableau Server: Collaboration for any organization Tableau Online: Business Intelligence in the Cloud Tableau Reader: lets you read the files saved in Tableau Desktop This business intelligence tool has the following highlights: Tableau Public and the tableau reader were free to use, while the tableau server and the tableau desktop come with the 14 days fully functional trial period. Once the trial period is completed the user will be charged as per the package. Tableau Desktop comes with both the professional as well as the personal edition at a lower cost. Besides tableau online is available with an annual subscription for a single user and scales to support thousands of users. Users can get the desktop version of tableau from their official website, and get full access to the various options for 14 days. Once the trial period finishes, the data visualization can be done with tableau public where the user’s data will be shared publicly. Once you install the software on the machine you can start the data visualization journey. Once you logged in to the tableau desktop, the starting page is divided into 7 sections: Connect to the File: This section helps you to connect with files, which allow you to extract data from different sources such as Excel, Text, Spatial Files, PDF, and so on. Connect to the Server:  This section helps you to connect with the Tableau Servers (or) allows you to extract data from different servers such as SQL Server, MySQL, and Tableau Server, and so on. Saved Data Sources:  This section contains the existing (or) Saved Data Sources. Open: This section contains the most recently used workbook under this section. Sample Workbooks: These were the sample workbooks that come with the tableau desktop installation. Training and Videos: This section contains some useful blogs as well as videos. Resources: This section contains the content generated by the tableau community. Note: If the server is not present under connect to the server section, then click more. A hyperlink that shows the list of supporting servers. Do you want to get a practical explanation of the tableau? If so, visit Tableau Online Training What are the exciting features of tableau? Tableau provides the solution for all kinds of industries, environments as well as departments.  The following are the highlighting features of tableau that enable to handle the diverse scenarios: Centralized Data: The tableau server provides the centralized location to manage all the organizations published data sources. Through this centralized data, users can delete, change permissions, add tags and manage schedules in one convenient location.  Through this centralized data, users can schedule, extract refreshes, and manages them in the data server. In addition, administrators can centrally define a schedule for extracts on the server for both full and incremental refreshes. Self-Reliant: This business intelligence tool does not require a complex software setup. The desktop version is opted by most users that can be installed easily and contain all the features needed to start and complete data analysis. Visual Discovery: This tool is good at exploring and analyzing the data from different tools like graphs, colors, and trend colors. Many options in this tool were drag and drop and require a small piece of code. Architecture Agnostic:  Tableau works well with all kinds of data where the data flows. Hence the user need not to worry about the specific hardware (or) software requirements. Real-Time Collaboration: Tableau can sort, filter, and discuss the data on the fly and can also embed the live dashboard using different portals like Salesforce (or) Sharepoint. In addition, you can save and view your data, allow the colleagues to subscribe to your interactive dashboards where the subscribers can see the latest data just by refreshing the browser. Blend Diverse Data Sets: Tableau allows you to blend different relational, semi-structured, and rata data sources in real-time, without an expensive upfront integration cost. In addition, the user does need not to know the details of how the data is stored. Likewise, there are many highlighting features of the tableau. By reaching the end of this blog post, I expect you people have gained enough information on tableau working in real-time. Readers can get a practical explanation of this by real-time experts through Tableau Online Course. In the upcoming post of this blog, I'll be sharing some additional features of the tableau. Meanwhile, you can also check out our Tableau Interview questions prepared by experts on our website.

What is an elastic load balancer in AWS?

Elastic Load Balancer is an Amazon Application for load balancing service for cloud deployments. This service is good at distributing the application traffic automatically and scales the resources to meet the traffic demands. This service helps IT teams to adjust the capacity according to the network and incoming application traffic. To maintain consistent application performance, users enable the elastic load balancer, within a single availability zone (or) across the multiple availability zones to maintain the consistent application performance. Internally this Elastic load balancer divides the amount of work that the computer does into several tasks to get the task served shortly. Due to elastic, it is usually implemented as a software load balancer. Due to its elasticity in nature, the system check for the application servers, health status and routes the traffic appropriately to the available servers to manage the failover of high available targets and automatically spins up the needed capacity. Once the load balancer receives the request from the end-users to access the applications, it routes the traffic based on target instance health. It continuously monitors the health status and the user request to the healthy instances.  While checking, in case of any unhealthy in cases of any unhealthy instance found, the load balancer automatically routes the traffic to other healthy available targets.   With the elastic load capability, users configure the protocol and port of the listener, a process will identify the connection request between the clients and the load balancer, as well as the load balancer and the instance targets. The listeners present here follow certain policies and the predefined rules to identify the traffic between the client and backend instances. Elastic Load Balancer automatically distributes the incoming application traffic across multiple targets such as IP Addresses, Amazon Ec2 Instances, containers, Lambda functions as well as virtual appliances.  Are you new to the concept of AWS, If so check out our article at What is AWS? What are the different types of Application Load Balancers? Elastic Load balancers offer 4 types of load balancers, to make the application fault-tolerant. The different types of load balancers are as follows:  Application Load Balancer:                                                                                                                         This kind of load balancer operates at the request layer (layer 7) to route the traffic to the target based on the content of the request. This kind of load balancer is ideal for HTTP as well as HTTPS traffic to provide advanced routing techniques, that target the delivery of modern application architectures that include microservices and container-based applications.  This kind of load balancer improves the security of the application, by ensuring the latest SSL/ TLS ciphers and protocols at all the times Network Load Balancer: This load balancer kind operates at the connection level (layer 4) in routing the connection to targets within Amazon VPC, based on the IP protocol data. This is ideal for the load balancing of both  TCP and UDP traffic. This Network load balancer is capable of handling millions of requests per second while maintaining ultra-low latencies. This load balancer kind is good at handling sudden and volatile traffic patterns with a single static IP address per availability zone.  Besides, it is integrated with various AWS services like Amazon EC2 Container Service, Auto Scaling, AWS Certification Manager (ACM), and Amazon Cloud Formation Do you want to get a practical explanation of this balancer? If So, visit AWS Online Training Gateway Load Balancer: Gateway Load Balancer is good at managing third-party virtual applications and makes the user easily deploy and scale the appliances. It gives the distribution of traffic from one gateway across multiple virtual appliances, in addition to the scaling of up and down based on the requirement. Besides, it also eliminates the potential points of failure, in the network and thus increases the availability. In this kind of load balancer, through Amazon Marketplace, you can find, test, and buy the virtual appliance from third-party vendors directly. This integrated experience streamlines the deployment process from the virtual appliances more quickly, irrespective of the same (or) the different vendors. Classic Load Balancer: This kind of load balancer is good at both the request as well as the connection level to provide the basic load balancing across the multiple Amazon Ec2 Instances. This kind of load balancer is intended for the applications that were built within the EC2 Classic Network. Amazon has recommended this load balancer kind for Layer 7 traffic and Network load balancer for Layer 4 traffic while using the Virtual Private Cloud (VPC). This elastic load balancer offers a variety of features to its users. They are: Support of both Ipv4 and Ipv6 protocols Flexible cipher support Spreading instances across the healthy channels Detection of unhealthy Elastic Cloud Computing (EC2) instances Optional public key authentication Centralized management of Secure Socket Layer (SSL) certificates In addition, there are two other features of Elastic Load balancer, that user uses this service, Automatic Scaling: Today developers use the AWS Auto Scaling feature, to guarantee that the user has enough EC2 instances running behind an ELB. Through ELB, developers can set the auto-scaling conditions and once the conditions are met, a new instance can spin up to meet up the minimum. In addition, a developer can also set up the condition, to spin up the new EC2 instance to reduce the latency. Security: Elastic Load Balancer supports applications within an Amazon Private Cloud (VPC) for stronger network security. Here the IT Teams can specify whether he wants an internal load balancer (or) not. The latter option also enables the developer to route the traffic using ELB using a private IP address.  In addition, the developer can also route the traffic between different tiers of any application using multiple internet-facing and internal load balancers to use a security group along with the private IP address while exposing only the web-facing tier and its public IP address. In addition, it also supports SSL Security encryption. Likewise, there are many high lighting features of Elastic Load Balancer.  By reaching the end of this article, I hope you have gained enough information on Elastic load Balancer.  You can get a practical explanation on the same, from real-time industry experts through the AWS Online Course. In the upcoming post of this blog, I'll be sharing detailed information on different kinds of load balancers. Meanwhile, check out our AWS Interview Questions prepared by Industry professions to get placed in MNC’s.

Explain the role of Flask in Python Programming?

Web apps were developed to generate the content based on retrieved data that changes based on the user interaction with the website. The server side here is responsible for querying, retrieving as well as updating the data. This makes the web applications to be slower and more complicated to deploy in comparison with simple small websites A typical web application ecosystem consists of two primary coding environments namely client as well as server-side scripting. In the Client-side system, the code executed on the user browser is visible to anyone who has the access to the system in the generation of the first results. On the other hand, server-side scripting run on the backend of the webserver. This enables developers to design, build maintains and host web applications over the internet. Today in the article, we are going to discuss the flask() application in python programming. Before going to know about flask(), let us start our discussion with the web application. A web application framework is a collection of modules and libraries that allows helps developers to write applications without writing the low-level codes such as protocols, thread management, etc. Flask is an API that allows programmers to build up web applications. The Flask framework is more explicit than the Django framework and is easier to learn because it has less code to implement a simple web-based application. Flask is based on Web Server Gateway Interface (WSGI) tool kit and the Jinja2 template engine. Are you new to python programming, if so visit What is Python programming? To understand the flask, we initially need to understand the following terms: WGSI: WSGI (Web Server Gateway Interface) has been adopted as a standard for Python web application development. WSGI is a specification for the universal interface between web servers as well as web applications. Werkzeug: It is a WSGI toolkit that implements request, response object, and other utility functions. This enables building the framework of it. This Flask framework uses Werkzeug as one of its bases. Jinja2: This is the most popular python templating engine. This web templating system combines the template with certain data sources to render the dynamic web pages. Getting started with Flask: What is Flask? Flask is a framework that provides libraries to build lightweight applications in python. Many developers consider flask as a micro framework. This framework was developed by Armin Ronacher who leads an international group of Python enthusiasts(. Python 2.6 (or) higher requires the installation of the flask. The programmers can start importing the Flask package on any Python IDE.  You can check out the installation of Flask with the following code: #an object of the WSGI application from flask import Flask  app = Flask(__name__) # Flask constructor # A decorator used to tell the application # which URL is associated function @app.route('/')                def hello():  return 'HELLO' if __name__=='__main__': app.run() Do you want to get a practical explanation for this? If Yes, visit Python Online Training In the above code, the ‘/’ URL bounds with the hello() function. If the webserver homepage is opened in a browser, the output function will be rendered accordingly. Here the flask() is started by calling the run() function. Here the method should be restarted manually for any change in the code.  To solve this scenario, debug support is enabled to track any error.   app.debug = True app.run() app.run(debug = True) Routing: The web frameworks provide a routing technique, to remember the URL’s easily. It is useful to access the web page directly,  without navigating from the home page. In python programming routing is done through the following route() decorator, a bind a URL to the function # decorator to route URL def hello_world():           @app.route(‘/hello’) # binding to the function of route return ‘hello world’ If the user visits http://localhost:5000/hello URL the output of the hello world() function will be rendered in the browser. Besides this, the add_url_rule function of the object is used to bind the URL with the function. def hello_world(): return ‘hello world’ app.add_url_rule(‘/’, ‘hello’, hello_world) Flask Variables: The flask variables were responsible to dynamically build URLs by adding the variable parts to the rule parameter. The variable part here is marked as a keyword argument as shown in the example below:  from flask import Flask app = Flask(__name__) # routing the decorator function hello_name @app.route('/hello/') def hello_name(name): return 'Hello %s!' % name if __name__ == '__main__': app.run(debug = True) Save the file with the .py extension, and run from the power shell. Now navigate to http://localhost:5000/hello/kitsonlinetrainings. Output: Hello kitsonlinetrainings In the above example, the parameter of the route() decorator contains the variable part attached to the URL ‘/hello’ as an argument. Hence if the user navigates to http://localhost:5000/hello/kitsonlinetrainings , ‘kitsonlinetrainings’ will be passed to the hello() function as an argument.  In addition to the default string variable part, other data types like int, float, and path were also used. The Flask URL rules were based on the Werkzeugs routing module. It ensures that the URLs formed are unique and precedents presents here were laid by apache. from flask import Flask app = Flask(__name__) @app.route('/blog/') def show_blog(postID): return 'Blog Number %d' % postID @app.route('/rev/') def revision(revNo): return 'Revision Number %f' % revNo if __name__ == '__main__': app.run() # says the URL is http://localhost:5000/blog/555 Flask Advantages: Utilization of flask framework in python programming has the following advantages: It is easy to use Provision of a built-in server as well as the debugger Provision for integrated unit test support Provision for RESTful request dispatching Contains the best documentation for various scenarios Purely based on Unicode and WGSI 1.0 Contains the best documentation to explore various scenarios Conclusion: In this article, we tried to understand the importance and the application of the flask() in python programming. You can get practical knowledge on the flask() from real-time working professionals through the Python Online Course. In the upcoming post of this blog, I'll be introducing the new framework. Meanwhile, you can also check out the Python Interview Questions written by Industry professionals to get placed in MNC.  

What is Garbage Collection? How does it work?

Garbage collection is the process of reclaiming unused memory through the destruction of unused objects. In the languages like C and C++, the programmer is responsible for the creation and destruction of objects. In some cases, the programmer may forget to destroy the useless memory and the memory allocated to them is not released. The used memory of the system keeps on growing, and there might be no memory left to allocate. In such cases, the applications suffer from memory leaks. After a certain point, sufficient memory may not be available for the creation of new objects. In such cases, the entire program gets terminated abnormally due to out-of-memory errors.  You can use methods like free() in C and delete in C++ to perform garbage collection. In Java, garbage collection happens automatically during the life cycle of the program. This eliminates the need to deallocate memory and therefore avoid memory leaks. Here you can use methods like free() in C Language and delete() in C++ to perform the garbage collection. In Java, garbage collection happens during the lifecycle of the program. This eliminates the need to deallocates the memory as well as the memory leaks. Are you new to the concept of JAVA, If so, check out What is JAVA? Garbage Collector in JAVA: The process of automatic memory allocation by java programs is known as Java Garbage Collection. JAVA program compiles into bytecode, that can run the JAVA Virtual Machine (JVM). When the JAVA program runs on JVM, objects were created on the heap, which creates a portion of memory to the program.  Over the lifetime of the application, new objects were created and released. Here heap consists of two types of objects: Live – Objects are being used and referenced from somewhere else Dead – These objects were no longer used (or) reference from anywhere Garbage Collector Silent Features: It is controlled by a thread known as Garbage Collector JAVA provides two methods gc() and Runtime.gc() that sends a request to JVM for garbage collection. JAVA programmers are free from memory management. Programmers cannot force the garbage collector to collect the garbage it depends on JVM When the garbage collector removes the object from the memory, initially the garbage collector thread () calls the finalize () of the object and then remove it. Object Allocation: When an object allocates, the Jrocket JVM checks the size of the object. It distinguishes between small and large objects. Here the small, as well as the large size, depends on heap size, JVM Version, Garbage collection strategy, and the platform used. The actual size of the object varies from 2KB to 128KB. The small objects here were stored in a Thread Local Area (TLA) which is a free chunk of the heap. If the thread is using the young space, it is directly stored in the old space. Here the large object requires more synchronization between the threads. When is an object eligible for Garbage Collection? An object becomes eligible only if it is not used by any program (or) thread (or) any static references. If two objects having a reference to each other and do not have any live reference, then the objects are collected by the garbage collector. There are some other cases where an object is eligible for garbage collection, If the reference of the object is set to null An object is created inside the block and the scope goes out of the scope. How does JAVA Garbage Collector in JAVA work? JVM Controls JAVA Garbage collector. JVM decides when to perform the Garbage collection.  You can also request JVM to run the garbage collector. But there is no guarantee that JVM will compile in all conditions. JVM runs the garbage collector if it senses that the memory is running low. When the JAVA program requests the garbage collection, JVM usually accepts it in short order. But it doesn’t make sure that the request has been accepted. Do you want to know the practical working of JAVA Garbage Collector? If yes, visit JAVA Online Training Which method is used for garbage collection? In JAVA, every program has more than one thread and every thread has its execution stack. The main() method contains a thread that is responsible for running a JAVA program. If no live thread is accessing the garbage collector, then-current the thread will access the garbage collector. Once accessed, the garbage collector considers the object is eligible for deletion. If the program has a reference variable that references the object, that reference variable available to the live thread is known as reachable. Usually, the garbage collection happens to the memory when the object is no longer needed. Even though JAVA programming contains many live objects, garbage collection does not guarantee that there is enough memory. Java compiler usually maintains the enough memory Types of Garbage Collection: Serial GC: It uses the mark and sweeps approach for the young and old generations. i.e minor and major Garbage Collections Parallel GC: It is similar to the serial GC except, it spawns N threads for young generation garbage collection. Parallel Old GC: It uses multiple threads in both generations and the rest is similar to the parallel GC G1 Garbage collector: It is introduced in JAVA 7. Its main objective is to replace the CMS collector. It’s a parallel, concurrent well as the CMS collector. Here, there is no young and the old generation space. Here the heap is divided into different equal-sized heaps which collects the regions with lesser live data. Concurrent Mask Sweep Collector: It does the garbage collection for the old generation. Here through XX: ParallelCMSThreads = JVM option you can limit the number of threads in the CMS collector. Some people also call it a concurrent Low Pause Collector. Mark and Sweep Algorithm: JRockit uses the mark and sweeps algorithm for garbage collection. It contains two phases namely the mark phase as well as the sweep Phase. Mark Phase: This phase makes the objects accessible from various sources like native handles, threads and other GC root sources and marks them as alive. Every object tree has more than one root object where the GC root is always reachable. So any object that has a garbage collection at its root identifies and marks all the objects that are in use and the rest were considered as garbage. Sweep Phase: This phase finds the gaps between the objects by reversing the heap. The free list present here records the gaps and is made available for new object allocation. JVM perform the garbage collection through this process and has the following pros and cons: Pros: It's an infinite loop It’s a recurrent process No additional overhead during the algorithm execution Cons: Cannot run the normal program parallelly Runs multiple times on a program We cannot find a process with no cons. Every program has an equal number of pros and cons. Keeping the cons aside Garbage collection is the best process in programming languages like JAVA. But this concept is very good at memory deallocation. You can grab practical knowledge on garbage collection from Real-time professionals through JAVA Online Course. Additionally, you can also check out the JAVA Interview Questions prepared by real-time professionals to get placed in MNC’s  

What does VM Ware do?

VM Ware is virtualization and cloud-based software service provider founded in 1988. In the year 2004, VM Ware was acquired by EM Corporation. In 2016, Dell acquired  EM Corporation. This platform works through x86 architecture on bare metal. Through VM Ware server virtualization, a hypervisor is installed on the physical server. All VM’s on the same physical server share the same resources such as RAM as well as Networking. VM Ware has its roots and technical gravity center around virtualization that is capable of running large unmodified operating systems in virtual machines. What does VM Ware do? Presence of software layer between the operating system and physical hardware this platform is capable of tackling various problems like fault isolation, storage, resource management, application management, machine providing, etc in a robust way that were not dependent on the application running above the virtualization layer. In addition, this VM Ware contains the VMotion technology that allows the machine running to move from one physical host to the other without the interruption of the service.  VM Ware projects and plan for designing, developing, and optimizing the product that makes the computing more accessible, available, redundant, and easily accessible. This platform makes the virtualization in different areas through different products. Are you new to the concept of VM Ware? If so, check out our blog on What is VM Ware? What are the different products of VM Ware? VM Ware includes several products. Some of them were virtualization, networking, and security management tools, storage software as well as data center software. Data Center and the Cloud Infrastructure: VMWare VSphere is a suite of virtualization products. VM Ware VSphere known as VM Ware Infrastructure includes ESXi, V Sphere Client, V Center Server as well as vMotion. The latest version is V Sphere 7.0 is available in three different editions such as Standard, Enterprise Plus as well as Platinum. Additionally, it also contains two-three server kits that were targeted towards small and medium scale businesses namely VSphere Essentials and Essential Plus. Through a VM Ware Cloud on AWS, customers can run a cluster of Vsphere host through VSAN and NSX in Amazon Data Center to run the workloads. Networking and Security: VMWare NSX is a virtual networking and security software, allows administrators to virtualize the network component and thus enables them to develop, deploy and configure the virtual networks and switches through software rather than hardware. A layer present on the top of the administrator divides the physical network into various virtual networks. VMWare VReliaze Network Insight is a network operations management tool that enables admin to plan micro-segmentation and check the health of VM Ware NSX. This V Reliaze Network Insight relies on technology that collects the information from the NSX manager. In addition, it displays an error in its user interface that helps in troubleshooting the NSX environment SDDC Platform: SDDC Manager is capable of integrating the software stack that bundles VM Ware V SAN, VM Ware NSX, V Sphere into a single platform. Through this software, an admin can deploy the bundle on-premises as a private cloud (or) run it as a service within a public cloud. Additionally, the administrator can provide the application immediately without having to wait for the network (or) storage. Do you want to know more about the SDDC platform? If yes, visit VM Online Training Storage and Availability: VM Ware VSAN is a software-based storage feature that is built into ESXi hypervisor and integrated with VSphere.Here the disk space is pooled through various ESXi hosts and provisioned through different smart policies such as erasure coding, thin provisioning as well as protection limits.It Integrates with V Sphere high availability to offer increased compute as well as storage availability. VM Ware Site Recovery Manager (SRM) is a disaster recovery management product that allows the administrator to create recovery plans that were automatically executed in case of failure. Site Recovery Manager allows admins to automatically orchestrate the failover and failback of VM’s. SRM also integrates with NSX to preserve the network as well as the security policies on migrated VM’s. VM Ware VCloud NFV is a virtualization platform to perform the networking functions which enables the service provider for application virtualization through multiple vendors. In addition, it provides similar benefits like virtualization and cloud communication services that relies on hardware. Cloud Management Platform: VReliaze suite is a group of software that allows users to create and manage hybrid clouds. The VReliaze suite includes V Reliaze operations for monitoring,  V Reliaze Log Insight for centralized logging, V Reliaze automation for Data Center Automation, and V Reliaze Business for Cloud for cost management. Virtual Desktop Infrastructure: VM Ware Horizon allows organizations to run windows desktop in a Data Center, (or) in a VM Ware cloud (or) the AWS. This removes the need to place and manage the full desktop in the workplace and centralizes the management and security for the user environment. It integrates with VM Ware product app volumes and Dynamic environment manager for application delivery and Windows Desktop Management. Digital Workspace and Enterprise Mobility Management: WorkSpace One allows an administrator to control mobile devices and cloud-hosted virtual desktops and applications from a single managed platform in a cloud (or) on-premises. The workspace here includes the Horizon Air, VM Ware Air Watch, and Identity Manager. Here the Identity Manager is an Identity as a Service product that offers the single Sign On (SSO) capabilities for Web, Cloud as well as mobile applications. This identity manager is an identity as a Service product that offers a single sign-on capability for web, cloud as well as mobile applications. The SSO present here grants access to any application from any device using the policy creation protocol. VMWare Air Watch is software base on  Enterprise mobility management (EMM) which enables an admin to deploy and manage mobile devices, applications, and data. Personal Desktop:         VM ware Work station is the first product released by the software company. It enables the user to create and run VM’s directly on single windows (or) Linux System (Desktop (or) Laptop). These VM’s runs simultaneously along with the physical machine. Here each VM runs its OS such as Windows (or) Linux. Hence this enables users to run Windows on a Linux machine (or)vice versa simultaneously along with the natively installed OS. Likewise many components come into the picture while virtualizing the product. By reaching the end of this post, I expect you have gained enough knowledge on What does VM Ware do using different components. In the upcoming post of this blog, I'll be sharing with you the complete details of each VM ware component.  Also, newbies can get the practical session of each component by real-time professionals through VM Ware Online Course. And also learners can check out our VM Interview Questions to get placed in an MNC.