What is Azure?

Do you belong to  the lover to the cloud computing platform like Azure? Would you like to know it from the roots? Why it has become a buzzword in the IT industry.  Do you have all these points in your mind? Are surfing the internet to get answers to all these questions? Then stop surfing the internet and start reading.

This article on Azure is another example to shows you the need for cloud computing and its importance in the IT industry. Even though many cloud providers like Amazon started providing their services the supply amount of these services was not up to the demand. So many vendors were competing with another to provide interactive services. One of those popular competitors is Azure.

What is Azure?

Microsoft Azure, formerly known as Windows Azure is a  Microsoft public cloud computing environment.  This platform provides a wide range of services including compute, storage, networking, and networking. Here the users can pick and scale these services to develop and scale applications (or) run the existing applications in the public cloud. This Azure platform aims to help business challenges and meet their organizational goals.  It offers tools that support all industries including e-commerce, finance, and a variety of fortune 500 companies.  This platform is compactable with various open-source technologies.

This platform is capable of four cloud computing platforms like:

a)Infrastructure as a Service(Iaas)

b)Platform as a Service(Paas)

c)Software as a Service (Saas) and

d)Server less

Besides, this cloud computing platform is an online portal that allows you to access and manage cloud services provided by Microsoft. These services and resources include storing your data and transforming it depending on your requirements. To access all these services, you need an active internet connection and the ability to access the Azure portal. This platform lets you add cloud capabilities to your existing network. This platform provides secure, reliable access to your cloud-hosted data.  This platform has been increasing the array of products and services to meet client requirements.

Do you wanna know more about this platform? Then visit Azure Online Training

Why do we need Azure?

We do require the Azure cloud computing platform due to the following reasons.

Application Development: We people can develop any kind of application using this platform.

Testing: After the app development, you people can test the application easily.

Hosting: Once the development was done, you people can host the application.

Virtual Environment Creation: You people can create virtual machines of any environment in this cloud computing platform

Integrate and Sync: This platform lets you integrate  and sync virtual devices and directories

Collect and Store metrics:  This platform lets you store and collect metrics which helps you to find what works perfectly

Virtual hard drives: These were the extensions of virtual machines that provide a huge amount of data storage.

What is the use of Microsoft Azure?

Microsoft Azure consists of numerous offerings.  Running virtual machines (or) containers is one of the most popular uses of Microsoft azure. Moreover, these compute resources, can host multiple infrastructure components such as Domain Name System (DNS) servers,  Windows Server services such as Internet Information System (or) third party applications. Besides, it also supports the use of other operating systems like Linux.  Moreover, this platform also suits best for backup and disaster discovery.

How to use the Azure Server?

There is nothing specific requirement to use Azure Services. In order to use the Azure Services, you just need to sign up at the Official Azure website. After, successful signup and logging in you will be logging into the Azure cloud computing platform. Once you enter into this platform, you will be able to get access to the number of services in  Azure cloud computing platform for free for 12 months. Some of those services include access to Linux virtual machines, windows virtual machines, File Storage, databases as well as the bandwidth.

This cloud platform is useful for the people who want to host services (or) develop the application. Through this cloud computing services, you will able save money by letting the Microsoft platform to handle the infrastructure.

What is the application of this Cloud computing Services?

Microsoft cloud computing platform is a fast, flexible, and affordable platform. Many IT Professional suggests that this platform suits best among the other public cloud offerings in the market. Now let us have a look where this cloud computing platform is useful.

Backup and  Disaster Recovery:

This cloud computing platform suits best for backup and the disaster recovery platform. This platform is flexible to backup your data in any language, OS as well as the location. Besides you, people can also define the frequency and the extent of your backup schedule.  Tap backup the data, this platform usually has time and space, but has limited abilities as a stand-alone backup and disaster recovery solution. Since the vendor stores three copies of data in three different locations of the data center and another three copies of data in a remote data center there is no point for loss of data.

Host and Develop mobile and Desktop Apps:

If you are looking for a platform to host, develop and manage the web  (or) mobile apps, azure makes those apps autonomous and adaptive with patch management, Auto scale, and the integration for on-premises applications. Moreover, with automatic patch management for virtual machines, you can spend less time managing the infrastructure and focus on improving your apps. Since this platform comes with continuous deployment support this allows you to streamline the on-going code updates.

Distribute and supplement Active directory:

This platform Is capable of integrating the active directory to supplement your identity and access capabilities. This includes global reach, centralized management, and robust security. Hence through this cloud computing platform, you can globally distribute an active directory environment where the direct connect is enabled. No other cloud provider can extend the reach of your domain controller and consolidate the AD management. For an instance, if you have multiple locations (or) use of on-premises apps like Microsoft 365.  Active directory integration with Azure will be a central tool for managing and maintaining access to all of these tools

Innovate with IoT Solutions:

The Scalability, flexibility, and the security of the Azure platform makes the perfect resources for the companies moving towards IoT Solutions. Moreover, you can connect your devices to the cloud using solutions using solutions that can integrate your existing infrastructure and start collecting the new data about your company. Moreover, through Azure IOT hub you can monitor and manage billions of devices and gain insights. This helps us to make better decisions improves customer experiences, reduce complexity, lowers the cost, and speed up the development.

Likewise, there are many other applications of the Azure Cloud platform which were in use by IT people across the globe. And you people can get practical exposure to this platform by live experts with practical use cases at Azure Online Course.

Final Words:

By reaching the end of this blog, I hope you people have got enough ideas on Azure regarding its need, application in the IT industry. In the upcoming posts of this, ill be sharing the details of  various services of this platform and its application with practical use cases.

What is Hadoop?

In the previous articles of this blog, we people have seen the need and importance of big data and its application in the IT industry. But there are some problems related to big data. Hence to overcome those problems, we need a framework like Hadoop to process the big data. This article on Hadoop gives you detailed information regarding the problems of big data and how this framework provides the solution to bigdata. Let us discuss all those one by one in detail

Importance of Big data:

Big data is emerging as an opportunity for many organizations. Through big data, analysts today can get the hidden insights of data, unknown correlations, market trends, customer preferences, and other useful business information. Moreover, these big analytics helps organizations in making effective marketing, new revenue opportunities, better customer service. Even though this bigdata has excellent opportunities, there are some problems. Let us have a look at

Problems with Big data:

The main issue of big data is heterogeneous data. It means the data gets generated in multiple formats from multiple sources. i.e data gets generated in various formats like structured, semi-structured, and unstructured. RDBMS mainly focuses on structured data like baking transactions, operation data, and so on.  Since we cannot expect the data to be in a structured format, we need a tool to process this unstructured data.  And there are ‘n’ number of problems with big data. Let us discuss some of them.


Storing this huge data in the traditional databases is not practically possible. Moreover, in traditional databases, stores will be limited to one system where the data is increasing at a tremendous rate.

b)Data gets generated in heterogeneous amounts:

In traditional databases, data is presented in huge amounts. Moreover, data gets generated in multiple formats. This may be structured, semi-structured, and unstructured. So you need to make sure that you have a system that is capable of storing all varieties of data generated from various sources.

c)processing speed:

This is a major drawback of leaving the traditional databases. i.e accessibility rate is not proportional to the disk storage. So w.r.t to data increment, access rate is not increasing. Moreover, since all formats of data present at a single place, the accessibility rate will be inversely proportional to data increment.

Then Hadoop came into existence to process the unstructured data like text, audios, videos, etc.  But before going to know about this framework, let us have an initially have a look at the evolution


The evolution of the Hadoop framework has gone through various stages in various years as follows:

a)2003–  Douge cutting launches project named nutch to handle billions of searches and indexes millions of web pages. Later in this year, Google launches white papers with Google File Systems(GFS)

b)2004 –  In December, Google releases the white paper with Map Reduce

c)2005 –   Nutch uses GFS and Map Reduce to perform operations

d)2006  –  Yahoo created Hadoop based on GFS and Map Reduce with  Doug cutting and team.

e)2007 –   Yahoo started using Hadoop on a  1000 node cluster.

f)2008 –  yahoo released Hadoop as an open-source project to an apache software foundation. Later in July 2008, apache tested a 4000 node with Hadoop successfully

g)2009 – Hadoop successfully stored a petabyte of data in less than 17 hrs to handle billions of searches and index millions of webpages.

From then it has been releasing various versions to handle billions of web pages.

So till now, we people have discussed regarding the evolution, now lets us move into the actual concept

What is Hadoop?

Hadoop is a framework to store big data to process the data-parallelly in a distributed environment. This framework is capable of storing data and running applications on the clusters of commodity hardware. This framework was written in JAVA. It is capable of batch processing. Besides this framework is capable of providing massive storage for any kind of data with enormous computing power. Moreover, it is also capable of handling virtually limitless tasks (or) jobs. This framework is capable of efficiently storing and processing large datasets from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers, to analyze the massive data sets in parallel more quickly.

Here the data is stored on inexpensive commodity servers that run as a cluster. Its distributed file system enables concurrent processing and fault tolerance. This framework uses map reducing programming model for faster data storage and its retrieval from its nodes. Today many applications were generating the big data to be processed,  where the Hadoop plays a significant role in providing a much-needed makeover to the database world.

Get more information on big data by live experts at Hadoop Online Training

This framework has four components as mentioned below:


This stands for Hadoop Distributed File Processing Systems. This framework allows you to store data of various formats across the cluster.  This component creates the abstraction. Like Virtualization, you can see HDFS, as a single unit for storing big data. This framework uses a master-slave architecture. In HDFS is Name node is the master node and Data nodes is the Slave node. Name node contains the metadata about the data stored in Data nodes such as which data block is stored in which data node. Here the actual data is stored in data nodes. Moreover, this framework has a default replication factor of 3. Hence due to the utilization of commodity hardware, if one of the data nodes fails, HDFS will still have a copy of the lost data blocks. Moreover, this component also allows you to configure the replication factor based on your requirements.


YARN stands for Yet Another Resource Negotiator. It is a Hadoop resource management. This component acts as an OS to the Hadoop.  This file system is built on the top of HDFS. It is responsible for managing the cluster resources to make sure that you don’t overload one machine. It performs all your processing activities by allocating the resources and scheduling the tasks. It has two major components i.e  Resource Manager and Node Manager. Here the Resource Manager is again a master node. Here the  Node Managers were installed on every Data Node. It is responsible for the execution of the task on every single data node. In the node section, each node has its node managers. Here the node manager manages the nodes and monitors the resource usage in the nodes. It receives the processing request and then passes the parts of the request to the corresponding node managers. Here the actual processing of the data takes place.   Here the containers contain the collection of physical resources like RAM, CPU (or) the hard drives.

Map Reduce:

a)It is a framework that helps the JAVA programs to do the parallel computation of data using Key-value pairs. Here the map is responsible for taking the input data and converts into the dataset that can be computed in a key-value pair. Here the output of the Map is consumed by the reducer, where there the reducer gives the desired result.  So in Map-Reduce approach, the processing is done at slave nodes and the final result is sent to the master node. Moreover, the data containing the code is responsible to process the entire data. Here the coded data is small when compared to the actual data. Here the code to process the data inform of Kilobytes. Here the input is divided into small groups of data called  Data Chunks.

Likewise, each component of this framework has its own function in processing big data.  You people can get the practical working of this framework by live experts with practical use cases at Hadoop Online Course

Final Words:

By reaching the end of this blog, I hope you people have got on Hadoop and application in the IT industry. In the upcoming post of the blog, I’ll be sharing with you the details on Hadoop architecture and its working. Meanwhile, have a look at our Hadoop Interview Questions and get placed in a reputed firm

What is IoT?

The way of people living in the 21st century has brought drastic change due to the high availability of the internet around us. There are multiple examples around us to explain how the internet has brought changes in our daily life. This article on IoT gives you detail information on how it has changed the people lifestyle and its application in today’s world.

We people have been probably hearing that IoT has brought the drastic change from operation to management and in some cases jobs automation in all industries. How this platform has brought this drastic change? What made this change? Do you wanna know all these? Read the following carefully to get answers for all these

Before knowing to know what exactly it is, let us initially have a look at the evolution

Evolution  of IoT:

The evaluation of  Internet of Things platforms can be  explained below:


In the pre-internet, most of the human to human communication was through a fixed and mobile telephony.

Dawn of Internet:

The world was changed unexpectedly with the origin of the internet. We  people can able to get the desired information within a button click.

What is IoT?

The Internet of Things(IoT) is a network of interrelated computing devices, mechanical and digital machines. These devices contains unique identifiers that transfer the data over the network. It does the work without the human-human interaction (or) human-machine interaction. In other words, it is also defined as a connection on the (or) device and can connect WIFI. This platform has its presence in many places in our daily life. Through this platform, we people can connect kitchen appliances, cars, thermostats, to the embedded devices via the internet. Through low-cost computing, cloud, big data, analytics, and mobile technologies physical things can share and collect the data with minimal human intervention. Moreover, digital systems were capable of record, monitor, and adjust each interaction between the connected things.

Do you wanna know more about this platform? Get it at IoT Online Training  from  live experts

Till now, we people have got basic information on the Internet of Things, let us have a look at its architecture

IoT Architecture:

IoT is not just internet-connected consumer devices. It is a technology that builds systems capable of sensing and respond to stimuli from the real world without human intervention. So we need to develop a process flow for a definite framework over which IoT solution is built. The platform architecture generally comprises of 4 stages:


Stage-1 (sensors/actuators):

A thing in the context of the Internet of Things should be equipped with sensors and actuators and thus gives the ability to emit, accept, and process signals.

Stage-2 (Data Acquisition System):

The data from the sensors start in an analogue form that needs to be aggregated and converted into digital streams for further processing, Here the data acquisition systems perform these aggregations, and the conversation functions

Stage-3(Edge Analytics):

Once the Internet of Things data has digitized and aggregated, it may require further processing before it enters the data center. Here the place, where the edge analytics comes into the picture.

Stage-4(Cloud Analytics):

Data that needs more in-depth processing gets forwarded to physical data centers (or) the cloud-based systems

How does IOT work?

The ecosystem of the Internet of things(IoT) comprises the internet-enabled smart devices like sensors, communication hardware (or) processors to gather, send, and act on the data acquired from the different environments. The data connected by the IoT devices is shared by connecting to other edge devices (or) an IoT gateway. Here the collected data can be analyzed locally (or) sent to the cloud for analysis purposes. Besides IoT devices were capable of communicating with other related devices and act as data exchange with another. Here the devices do their job without human intervention. Moreover, people who own the devices can interact with the devices for setting up and give instructions to access the data.

Examples of IoT:

a)A “thing” on the Internet of Things (IoT) can be a car with in-built sensors to alert the driver about the low pressure on tires

b)Intelligent Sensors, UID, and transponders that can be accommodated in machines such as coffee machines, cell phones, and home appliances like lamps, washing machines, wearable devices.

Likewise, there are multiple examples of the Internet of Things, let us discuss some with the application of this platform.

Applications of IoT:

a)Disaster Management :

IoT can be used o accumulate the data related to the specific location using remote monitoring tools and platform analytics. Moreover, with the application of the Internet of Things, we can also get the early warning of the disaster.

b)Health Care:

IoT may have a major impact when it comes to remote health monitoring. Using this platform, we can send the patient vitals to the doctor.


With IoT, we can automate the task of irrigation. Besides a set of sensors such as light, humidity, the temperature  can be used to monitor the field conditions

d)Smart Energy Management:

With Smart grids, energy distribution can be easily optimized. These grids also keep collecting the real-time data by distributing the  electricity efficiently and also reduce the outages

e)Pollution Control :

The IoT platform helps us to continuously monitor the air quality as well as the water quality. Here the data will be sent to the cloud for further analysis. Using the analytics report we can take the proper action for pollution control.

f) Manufacturing:

Manufacturers can gain a competitive advantage by using the production line monitoring to enable the proactive maintenance of equipment when the sensors predict the upcoming failure. Besides  the devices were capable of measuring the production output is compromised. Moreover, with sensor alerts, manufacturers can quickly check equipment for accuracy (or) remove it from the production until it is repaired. Hence through IoT, companies can reduce the operating costs, get better uptime, and thus improve asset performance management.

Hence likewise, there is much application of the Internet of Things that we were habituated to use in our daily life. You people can get more examples of the Internet of Things and its applications by live industry experts at the IoT Online Course.

Final Words:

I hope you people have gained enough stuff regarding the need and utilization of IoT in industry. In the upcoming posts of this blog, I’ll be sharing the details of the application of each area with real-time use cases. Meanwhile, have a look at our IoT Interview Questions and get placed in a reputed firm.

What is AngularJs | KITS Trainings

What is Angular JS?

The website is the basic need for marketers to reach a mass number of people. With the high availability of content management systems, website development has become a cakewalk in the IT World. But we cannot except the best website unless you develop using best platform. So what does it mean the best website? A website is considered as the best website if it is user-friendly ( Compatible to all devices and loads in an optimal time across various platforms). So here developing a website is an ordinary thing. But developing a user-friendly application is a challenging thing that is essential in today’s world. So how to develop an intuitive web application. Which platform suits best in developing an intuitive application? Then without the second thought most of the developers vote for AngularJS.  So,

But before know about AngularJs, let us have an initial look at

What is a Framework?

A framework is a collection of code libraries where some functions were predefined. By the utilization of this framework, developers can easily develop lightweight applications. Moreover, the developer can concentrate on actual logic rather than struggling with the code dependencies. In simple words, the utilization of these predefined codes makes the website development in a short period.

Hence now, let’s move into the actual concept

What is Angular JS?

Angular JS is an open-source web application framework developed in 2009. This was developed by Misko Hervy and Adam Abrons. This framework was now maintained by Google. This framework architecture depends on the Model View Controller (MVC) framework that is similar to the Java Script Framework.  Moreover, this framework suits best in developing single-page applications. It is a continuously growing and expanding framework in providing better ways of application development. Moreover, this platform is capable of changing from static HTML to Dynamic HTML. Besides, it provides features like dynamic building, dependency injection, and also the code rewriting. Moreover, Angular JS is different from Angular framework. And AngularJS is also capable of extending HTML attributes with directives. Since, we people have got an basic idea regarding AngularJS, let us have a look at its architecture.

Get practical exposure on AngularJS with practical use cases at AngularJs Online Training

AngularJS Architecture:

As mentioned above, Angular framework works on MVC architecture. So let us have a look at its architecture.

MVC Architecture:

An architecture is basically a pattern used to develop an application. This Angular JS Architecture usually consists of three components. They are :

mvc | KITS Trainings


It is responsible to manage the application data. It responds to the instruction from the view and the instructions from the control to update it self.


It is responsible for displaying the application data. It also specifies the data in a triggered format by the controller to present the data. Since its an script based template such as JSP, ASP, PHP, it is easy to integrate with the AJAX technology.


This component is responsible for connecting the model and the view component.It responds to the user inputs and perform data interactions on the data model objects.

This architecture is very poplar, because. it isolates the application logic from the user interface and supports separation of concerns. Besides, whenever we talk about the MVC architecture, we have to split our application into three components and then write the code to connect them. But when comes to angular JS, all we need to is to split the application into MVC and the framework takes care of the rest. Hence this framework is capable of saving the lot of time and allows to finish the job with less code. Whenever the controller receives the input, it validates the input and performs the business operations that modify the data model state.

What are the AngularJS Components?

AngularJS consist of several components. Let us discuss some of them. They are:

a)Data Binding:

Data binding in AngularJs is a two-way process i.e the view layer of MVC architecture is the exact copy of the Model layer. Hence, there is no necessity to write the special code to bind the data to the HTML Controls. Usually in MVC architectures, we need to continuously update the view layer and model layer to remain in sync with each other. In AngularJs we can say that model and view layer synchronized each other. So when ever the data in the model changes, the view layer reflects the change and vice-versa. All this happens in angular is immediately and automatically. It makes sure that model and view is updated all the times.


One of the major use of this application framework is make use of templates. Usually what happens in AngularJs, is templates were passed by browser into DOM. Here the DOM becomes the input of the Angular JS Compiler. The Angular JS then travels the DOM templates for rendering the instructions called Directives. The other siblings of Angular JS Work differently. These make use of HTML String, where as AngularJS does not manipulate the template strings. With DOM, we have the privilege to extend directive vocabulary (or) even abstract them into reusable components.

c)Dependency Injection:

It is a software design pattern work on Inversion of the Control. Here the term Inversion control refers to the objects that does not create the other objects. Hence , they used to get the objects from an external source. Moreover, the primary object is not capable of dependent object, so an external source creates a dependent object and gives to the source object for further usage. Hence on the basis of dependency injection, we can create all the information database and can get into the model class. In AngularJS, dependencies were injected using “injectable factory method”(or) constructor function.

d) Scope:

It is an built-in object in AngularJs which contains application data and models. Here the $scope is responsible to transfer the data from controller to the view and vice-versa. Besides, we can create properties to the $scope object inside the controller function and assign a value to it.


A controller is a java script constructor function that contains the attributes/properties and functions in AngularJS that is responsible to increase the Angular JS Scope. And each controller accepts the scope as a parameter that refers to the application that needs to handle.

Hence likewise, there are many other components of AngularJs. You people can acquire practical knowledge of AngularJS components by live experts with practical use cases through AngularJS Online Course.

Final Words:

With this, I hope you people have got an basic overview of Angular and its components. In the upcoming post of this blog, Ill be sharing you the details of working of various Angular JS components in details and application in IT industry. Meanwhile Have a glance at our AngularJS Interview Questions and crack the interview.

What is Google cloud platform | KITS

What is Google Cloud Platform?

It seems difficult to sustain life in the IT industry without using the most common search engine like Google. This vendor is not only limited its services to the search engine but also has its roots in the area of cloud computing. Many IT companies today were utilizing this cloud computing for the smooth running of the business. According to recent statistics, 49% of IT professionals use the Google Cloud platform as the primary resource of computation. And the next followers were Microsoft Azure and Amazon web services with 48 % and 42 % of IT Professionals respectively. So with this, we can say Google Cloud platform stood at the top of cloud computing services. Hence, a question comes to your mind, “Even though Amazon, Azure, and other cloud computing services perform the same, why this cloud computing platform stood top?” If “YES”, continue your reading with

Why do we need Cloud Computing?

People prefer to utilize cloud computing services to scale the resources as per the demand at an affordable price. Moreover, we people opt for these cloud services to reduce infrastructure services. These kinds of services suit best for starters. The specialty of the cloud computing platform is, it provides a space for individuals as well as the enterprises to build and run the software. Google is one of the topmost vendors in providing cloud computing services.

Hence without wasting much time, let us have a quick discussion on

What is Google  Cloud Computing?

Google Cloud Platform is a suite of google public cloud computing services. This platform includes a range of hosted services for compute, storage, application development that runs on the Google hardware. Besides, these services can be easily accessed by software developers, cloud administrators, and other IT Professionals through a public (or) a dedicated Internet connection. This vendor provides excellent services to the people through the pay-as-you-go model. Besides this cloud computing platform makes use of internet remote servers to store, manage as well as process the data instead of local server  (or) the personal computer.

Know more on GCP by live experts with practical use cases at Google Cloud Online Training

Where do we can find this service?

Google has its data centers at several places across the globe. Some of them were North America, South America, Europe, Asia, and Australia. Furthermore, these locations were further divided into regions and zones. These were the data center locations as of today. And this vendor is in a process of establishing the data centers in some more locations across the globe. Hence with this, the user can select the nearest region to get the unstoppable service with high availability of the service.

google cloud | KITS

Whenever you launch an application (or) service,  on the google cloud platform, google keeps track of all the resource utilization. For instance, it records the processing power, data storage, database queries, and the network connectivity it consumes. Besides, one more advantage of this platform, when compared with its competitors, is, it allows the users to pay per second basis (competitors charges per minute basis) with additional offers.

What are the various services of this GCP?

As mentioned above, this platform has wide variety of services in its platform. Hence this platform has divided its services into several categories. Some of them were :

Computing: GCP provides wide range of computing options to satisfy the user requirement. Besides, it provides highly customizable virtual machines to deploy the code directly (or) through the virtual machines (VM’s). Some of the popular Google computing services are:

1.Compute Engine

 2.App Engine

3.Kubernetes Engine

4.Container Registry

5.Cloud function and so on

Networking:  This platform contains services related to networking. Some of the popular services were :

1.Google Virtual Private Cloud

2.Google Cloud load balancing

3.Google Cloud Interconnect

Big Data: Besides, it also provides the best services related to big data as follows :

1.Google Big Query

2.Google Cloud Data Proc

3.Google Cloud Data Lab

4.Google Cloud Pub/Sub

Developer Tools:

This platform provides the following services related to development. They are:

  1. Cloud SDK
  2. Deployment manager
  3. Cloud Source Repositories
  4. Cloud Test Lab

Management Tools:

This platform also provides services related to monitoring and management as follows:

  1. Stack driver
  2. Monitoring
  3. Logging
  4. Error reporting
  5. Trace
  6. Cloud Console

Besdies it also provides various services related to security, Cloud AI and many more.

Who is the Top user of this cloud computing platform?

Many people were utilizing this cloud computing service. Some of them were

Twitter: A popular social media platform that lets you share your view (or) the information. When people were tweeting more and more, the bulk amount of data gets generated. Hence this social media platform uses this cloud computing platform for storing as well as the computation purpose.

Paypal:  This platform use google cloud to increase security, build a faster network, and develop services to its customers.

eBay: It utilizes the google services to innovate the image search, improve the customer experiences, train the transition models.

HSBC: By the utilization of these services, this platform able to bring a new level of security, compliance as well as governance to its banks.

What are the advantage of this platform?

This platform has multiple advantages. Some of them were :

  1. Good Documentation: This cloud computing platform has good documentation for every service that easier for the newbie to make the utilization of the service
  2. Multiple Storage Classes: This platform contains multiple classes according to the Regional(frequent), Nearline ( infrequent), and the cold line use (Long-term)
  3. High Availability: This platform is pretty sure that data is safe even in the situation of the simultaneous loss of two disks.
  4. Multi-Region Availability: As mentioned above, Google has multiple data centers across the globe, the user has an option of selecting the nearest region to enjoy the uninterrupted service


Hence likewise, there are many other advantages of this cloud computing service. Moreover, these people were adding more and more features as per the market need. You people can get practical exposure to these services when you enroll for the Google Cloud  Online Course. By reaching the end of this blog, I hope you people have acquired enough idea regarding the need and utilization of these services. In the upcoming articles of this blog, I’ll be sharing the details of creating an account in GCP and the utilization of each service in detail.

what is MSBI | Kits Online Trainings

What is MSBI?

The need for Business Intelligence tools does not exhaust as long as IT and the internet exist around us. So many business intelligence vendors were adding more and more features to these tools for quick analysis of the data. This article on MSBI is another example to let you know their need and importance of business intelligence tools in the market. Without wasting much time, let us move into the actual topic.

What is MSBI?

It is a Microsoft business intelligence tool. The business intelligence tool is capable of providing the ultimate solutions to execute data mining and business queries. Besides, this tool provides various types of data access to the companies where the companies can take business decisions and can also plan for the future. Moreover, with this tool, companies can take better decisions and can also plan for the future.

By default, these business intelligence tools provide some plans to work with the data and analyze it. Besides, this tool also allows you to implement the new data as well. This powerful suite is composed of many tools that help in providing the best solution for business intelligence and data mining queries. This tool uses Visual Studio and SQL Server. Besides, it offers different tools for different processes that are necessary for Business Intelligence solutions. Moreover, this Microsoft tool is capable of understanding complex data, allocating, analyzing, and setting up a proper report that helps in taking business decisions.

Why MSBI is necessary?

Many data analyst/scientist use MSBI due to the following reasons:

a)This Microsoft tool is capable of storing as well as retrieving the data to take the smart decisions

b)This Microsoft BI suite consists of several resourceful tools to provide the best solution for business intelligence.

  1. c) Since the market is lagging the SSAS, SSIS, SSRS professionals, demand for this business intelligence tool has increased much.
  2. d) To get different tools for the different process that are necessary for the business intelligence solutions

Besides, there are many other reason to learn MSBI to be a successful IT professional. Are you curious to know what are those? then visit MSBI Online Training.


This Microsoft business intelligence  tool has 3 components. They are :

MSBI architecture | Kits Trainings

SSIS – SQL Server Integration Services

SSAS- SQL Server Analytical Services

SSRS –SQL Server Reporting Services

Let us discuss each of them briefly:


As the name suggest, this component is useful to integrate the data coming from different sources. This component is responsible for the integration data ware housing. Since the data gets collected from various sources to integrate, this component uses Extract, Transform and load (ETL) process to store the data. Moreover, this phase is responsible to store the data from different locations, ingrate it and ultimately store the data in a data ware house. This tool is capable of building high performance integration and workflows. Besides this tool contains various graphics tools and wizards for building packages. In simple words, this component suits best for bulk transaction. And this is useful to generate the trend reports, predictive analysis and the comparison reports. Hence this tool fits best for the business analyst  in making the quick decisions.


This is the process of converting the two dimensional data into multidimensional data model. This tool suits best in analyzing large volumes of data. Besides, this tool is responsible to analyze the performance of SQL Server in terms of loading balancing, heavy data, transaction. The main responsibility of this tools is to develop Online Analytical Processing Solutions (OLAP). Hence this analytical tool fits in the for the administrators to analyze the data.Moreover, with this analytical tool, admin analyzes the data before moving in to the database. Besides, user  can also  get the details of number of transactions happen in a sec. This SSAS has many advantages. Some of them were multi-dimensional analysis, Key performance indicator, Score card, Good performance, Security and so on.


As the name indicates, this tool is responsible to prepare the reports that contains virtual. This reporting platform presents the modern as well as he traditional reports through suitable (or) the custom applications. This component is platform-independent and  efficient. Moreover, it is also capable of retrieving the data from various sources and can export the functionality in lot of formats.Besides, this tool has access to the web based reports. Hence it is capable of display the reports in the form of guague, tabular, chart and many more.This SSRS has many excellent benefits. Among them the popular services were retrieving data from multiple sources, Support for ad-hoc reporting, export functionality with variable formats and so on.

MSDN Library:

It is a collection of sites for the development team to provide documentation, information as well as the discussion that is delivered by Microsoft. Here, Microsoft have give more importance on the incorporation of forums, blogs, social bookmaking, library annotations.

 What are the features of MSBI?

There are many features of MSBI. Let us discuss some of them:

  1. Provides a singe value of truth to make the effective decisions
  2. Eliminates (or) reduces the ‘Instinctive decisions’
  3. Provides a quick and timely answers to the business and making it more responsive to the business trends
  4. Minimize the manual work
  5. Support for the historical and summarized data
  6. Robust support for advanced analysis

Hence likewise, there are many features of this Microsoft business intelligence tool in real time .You people can acquire hands on experience on this Business intelligence tool by live experts through online at MSBI Online Course. I hope you have got a basic regarding the need and utilization of MSBI in IT industry.In the upcoming post of this blog, ill be delivering in detail information of each component individually. Meanwhile have a glance at our MSBI interview Questions and make get placed in an MNC.