MICROSOFT AZURE & AWS (AMAZON WEB SERVICES )

Thara Info Tech Solutions Pvt Ltd. Email: info@tharainfotechsolutions.co.in Mobile: 9989445901

                                        Microsoft Azure

Introduction : 

 Microsoft Azure is Microsoft's cloud computing platform, providing a wide variety of services you can use without purchasing and provisioning your own hardware. Azure enables the rapid development of solutions and provides the resources to accomplish tasks that may not be feasible in an on-premises environment. Azure's compute, storage, network, and application services allow you to focus on building great solutions without the need to worry about how the physical infrastructure is assembled.

Applications of Azure :

• Infrastructure Services
• Mobile Apps
• Web Applications
• Cloud Services
• Storage, Backup, and Recovery
• Data Management
• Media Services.

Advantages of Azure :

• Azure infrastructure will cost-effectively enhance your business continuity strategyIt allows you to access the application without buying a license for the individual machine
• Windows Azure offers the best solution for your data needs, from SQL database to blobs to tables Offers scalability, flexibility, and cost-effectiveness
• Helps you to maintain consistency across clouds with familiar tools and resources
• Allows you to extend data center with a consistent management toolset and familiar development and identity solutions.
• You can deploy premium virtual machines in minutes which also include Linux and Windows servers
• Helps you to scale your IT resources up and down based on your needs
• You are not required to run the high-powered and high-priced computer to run cloud computing's web-based applications.
• You will not require processing power or hard disk space if you are using Azure
• Cloud computing offers virtually limitless storage
• If your personal computer or laptop crashes, all your data is still out there in the cloud, and it is still accessible
• Sharing documents leads directly to better collaboration
• If you change your device your computers, applications and documents follow you through the cloud

Dis Advantages of Azure :

• Cloud computing is not possible if you can't connect to the Internet
• Azure is a web-based application which requires a lot of bandwidth to download, as do large documents
• Web-based applications can sometimes be slower compared to accessing a similar software program on your desktop PC.

                 AWS - CLOUD COMPUTING 

What is Cloud Computing?

Cloud computing is an internet-based computing service in which large groups of remote servers are networked to allow centralized data storage, and online access to computer services or resources.

Using cloud computing, organizations can use shared computing and storage resources rather than building, operating, and improving infrastructure on their own.

Cloud computing is a model that enables the following features. 

• Users can provision and release resources on-demand
•  Resources can be scaled up or down automatically, depending on the load
• Resources are accessible over a network with proper security
• Cloud service providers can enable a pay-as-you-go model, where customers are
•  charged based on the type of resources and per usage.

Types of Clouds :

There are three types of clouds

- Public, Private, and Hybrid cloud

.
Public Cloud : In public cloud, the third-party service providers make resources and services available to their customers via Internet. Customer’s data and related security is with the service providers’ owned infrastructure. 

Private Cloud : A private cloud also provides almost similar features as public cloud, but the data and services are managed by the organization or by the third party only for the customer’s organization. In this type of cloud, major control is over the infrastructure so security related issues are minimized. 

Hybrid Cloud : A hybrid cloud is the combination of both private and public cloud. The decision to run on private or public cloud usually depends on various parameters like sensitivity of data and applications, industry certifications and required standards, regulations, etc.

DEVOPS ONLINE TRAINING | PROJECT SUPPORT

Thara Info Tech Solutions Pvt Ltd. Email: info@tharainfotechsolutions.co.in Mobile: 9989445901

What is DevOps?

DevOps is a culture which promotes collaboration between Development and Operations Team to deploy code to production faster in an automated & repeatable way. The word 'DevOps' is a combination of two words 'development' and 'operations.

Why is DevOps used?

1. Predictability: DevOps offers significantly lower failure rate of new releases

2. Reproducibility: Version everything so that earlier version can be restored anytime.

3. Maintainability: Effortless process of recovery in the event of a new release crashing or disabling the current system.

4. Time to market: DevOps reduces the time to market up to 50% through streamlined software delivery. This is particularly the case for digital and mobile applications.

5. Greater Quality: DevOps helps the team to provide improved quality of application development as it incorporates infrastructure issues.

6. Reduced Risk: DevOps incorporates security aspects in the software delivery lifecycle. It helps in reduction of defects across the lifecycle.

7. Resiliency: The Operational state of the software system is more stable, secure, and changes are auditable.

8. Cost Efficiency: DevOps offers cost efficiency in the software development process which is always an aspiration of IT companies' management.

9. Breaks larger code base into small pieces: DevOps is based on the agile programming method. Therefore, it allows breaking larger code bases into smaller and manageable chunks.

Components of DevOps

• Continuous Integration
• Continuous Testing
• Continuous Delivery
• Continuous Monitoring

SELENIUM ONLINE TRAINING | PROJECT SUPPORT

Why Selenium?

The current industry trends have shown that there is a mass movement towards automation testing. Hence a cluster of repetitive manual testing scenarios has raised a demand to bring in the practice of automating these manual scenarios.

• It’s an open-source
• It has a large user base and helping communities
• It has multi-browser and platform compatibility
• It has active repository developments
• It supports multiple language implementations.

What does Selenium software do?

1. Automated Testing: Automated Testing comes in handy in larger projects where if not for Selenium, the tester would have to manually test each and every created functionality. With Selenium, all of the manual tasks are automated, thereby reducing the burden and stress on the testers.

2. Cross Browsers Compatibility: Selenium supports a wide range of browsers such as Chrome, Mozilla Firefox, Internet Explorer, Safari, and Opera.

3. Increases Test Coverage: With the automation of tests, the overall testing time gets reduced which results in freeing up time for the tester to perform more testing on different test scenarios in the same time.

.4 Reduces Test Execution Time: Since Selenium supports parallel test execution, it greatly helps in reducing parallel test execution time.

5. Multiple OS Support: Selenium WebDriver provides support across multiple Operating Systems like Windows, Linux, UNIX, Mac, etc. With Selenium WebDriver you can create a test case on Windows OS and execute it on Mac OS.

DATA SCIENCE ONLINE TRAINING | PROJECT SUPPORT

Thara Info Tech Solutions Pvt Ltd. Email: info@tharainfotechsolutions.co.in Mobile: 9989445901

“Data Science is the extraction of knowledge from data, which is a continuation of the field of data mining and predictive analytics.”

A Data Scientist can:

– understand the background domain

– design solutions that produce added value to the organization

– implement the solutions efficiently

– communicate the findings clearly (important!)

Why Data Science is Important?

More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.

How Does Data Science Work?

Data science involves a plethora of disciplines and expertise areas to produce a holistic.
, thorough and refined look into raw data. Data scientists must be skilled in everything from data engineering, math, statistics, advanced computing and visualizations to be able to effectively sift through muddled masses of information and communicate only the most vital bits that will help drive innovation and efficiency.

MACHINE LEARNING ONLINE TRAINING | JOB SUPPORT

Thara Info Tech Solutions Pvt Ltd. Email: info@tharainfotechsolutions.co.in Mobile: 9989445901

What is Machine Learning?

Machine Learning is a system that can learn from example through self-improvement and without being explicitly coded by programmer.

Machine learning is closely related to data mining and Bayesian predictive modeling. The machine receives data as input, use an algorithm to formulate answers.

Machine learning is also used for a variety of task like fraud detection, predictive maintenance, portfolio optimization, automatize task and so on.

The core objective of machine learning is the learning and inference. First of all, the machine learns through the discovery of patterns. This discovery is made thanks to the data. One crucial part of the data scientist is to choose carefully which data to provide to the machine. The list of attributes used to solve a problem is called a feature vector. You can think of a feature vector as a subset of data that is used to tackle a problem.

The life of Machine Learning programs is straightforward and can be summarized in the following points:

1. Define a question
2. Collect data
3. Visualize data
4. Train algorithm
5. Test the Algorithm
6. Collect feedback
7. Refine the algorithm
8. Loop 4-7 until the results are satisfying
9. Use the model to make a prediction

Once the algorithm gets good at drawing the right conclusions, it applies that knowledge to new sets of data.

MICROSOFT INTUNE ONLINE TRAINING.

MICROSOFT INTUNE | CONTACT : +91 9989445901.

Microsoft intune is a cloud based desktop and mobile device management tool that helps organizations provide their employees with access to corporate, applications , data , resources from the device of their choice.

You can also configure specific policies to control applications. For example, you can prevent emails from being sent to people outside your organization. Intune also allows people in your organization to use their personal devices for school or work. On personal devices, Intune helps make sure your organization data stays protected, and can isolate organization data from personal data.

With Intune, you can:

• Choose to be 100% cloud with Intune, or be co-managed with Configuration Manager and Intune.
• Set rules and configure settings on personal and organization-owned devices to access data and networks.
•  Deploy and authenticate apps on devices -- on-premises and mobile.
•  Protect your company information by controlling the way users access and share information.
•  Be sure devices and apps are compliant with your security requirements.

CYBER SECURITY & ETHICAL HACKING

Cyber Security & Ethical Hacking | Online classes | contact us : +91 9989445901.

Cyber security is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It's also known as information technology security or electronic information security.

Cyber security covers not only safeguarding confidentiality and privacy, but also the availability and integrity of data, both of which are vital for the quality and safety of care..

COMMON TYPES OF CYBER ATTACKS:

• Malware
• Phishing
• Man-In-The-Attack
• Denial of service attack.
• SQL Injection
• Zero-day exploit
• DNS Tunneling.

                         ETHICAL HACKING

Ethical Hacking is an authorized practice of bypassing system security to identify potential data breaches and threats in a network. ... Ethical hackers aim to investigate the system or network for weak points hat malicious hackers can exploit or destroy.

Roles and Responsibilities of an Ethical Hacker:

  An ethical hacker must seek authorization from the organization that owns the system. Hackers should   obtain complete approval before performing any security assessment on the system or network.

· Determine the scope of their assessment and make known their plan to the organization.

· Report any security breaches and vulnerabilities found in the system or network.

· Keep their discoveries confidential. As their purpose is to secure the system or network, ethical hackers should agree to and respect their non-disclosure agreement.

· Erase all traces of the hack after checking the system for any vulnerability. It prevents malicious hackers from entering the system through the identified loopholes.

 

AGILE ONLINE TRAINING|PROJECT SUPPORT

Agile is a software development methodology to build a software incrementally using short iterations of 1 to 4 weeks so that the development process is aligned with the changing business needs. Instead of a single-pass development of 6 to 18 months where all the requirements and risks are predicted upfront, Agile adopts a process of frequent feedback where a workable product is delivered after 1 to 4-week iteration.

Agile breaks down larger projects into small, manageable chunks called iterations. At the end of each iteration (which generally takes place over a consistent time interval) something of value is produced. The product produced during each iteration should be able to be put into the world to gain feedback from users or stakeholders.

WHY AGILE ?

• Speed to market
• Flexibility
• Risk management
• Cost Control
• Quality
• Right product
• Transparency.

 Scrum Online Training | Job support.

Scrum : A framework within which people can address complex adaptive problems, while productively and creatively delivering products of the highest possible value. 

Scrum is:
• Lightweight
• Simple to understand
• Difficult to master.

1.Research and identify viable markets, technologies, and product capabilities;
2. Develop products and enhancements;
3. Release products and enhancements, as frequently as many times per day
4. Develop and sustain Cloud (online, secure, on-demand) and other operational environments for product use.
5. Sustain and renew products.

INTERNET OF THINGS ONLINE TRAINING

                 INTERNET OF THINGS 

IoT systems have applications across industries through their unique flexibility and ability to be suitable in any environment. They enhance data collection, automation, operations, and much more through smart devices and powerful enabling technology.

APPLICATION OF IOT :

· Health

· Traffic monitoring.

· Fleet management.

· Agriculture.

· Hospitality.

· Smart grid and energy saving.

· Water supply

ADVANTAGES OF IOT : 

•   Improved customer engagement.
•   Technology optimization.
•   Reduce waste
•   Enhanced data collections. 

DISADVANTAGES OF IOT :

• security
• privacy
• Complexity
• Flexibility
• Compliance.

SPARK & KAFKA ONLINE TRAINING | PROJECT SUPPPORT

    SPARK & KAFKA ONLINE TRAINING.

SPARK

Spark was introduced by Apache Software Foundation for speeding up the Hadoop computational computing software process.
Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming. Apart from supporting all these workload in a respective system, it reduces the management burden of maintaining separate tools.
Spark is a general-purpose distributed data processing engine that is suitable for use in a wide range of circumstances. On top of the Spark core data processing engine, there are libraries for SQL, machine learning, graph computation, and stream processing, which can be used together in an application.

MAJOR USES OF SPARK:

• PROCESSING STREAMING DATA.
• MACHINE LEARNING.
• FOG COMPUTING.

                                          KAFKA

Kafka is designed for distributed high throughput systems. Kafka tends to work very well as a replacement for a more traditional message broker. In comparison to other messaging systems, Kafka has better throughput, built-in partitioning, replication and inherent fault tolerance, which makes it a good fit for large-scale message processing applications.

USES OF KAFKA :

• kafka messaging
• Website activity tracking
• kafka metrics
• kafka log aggregations.
• stream processing
• kafka event sourcing
• commit log

APPLICATIONS OF KAFKA :

• Twitter
• LinkedIn
• Netflix
• Mozilla.
• Oracle.

SCALA ONLINE TRAINING | PROJECT SUPPORT

Scala online training | contact us : +91 9989445901.

The name Scala stands for “scalable language.” The language is so named because it was designed to grow with the demands of its users. You can apply Scala to a wide range of programming tasks, from writing small scripts to building large systems.

Technically, Scala is a blend of object-oriented and functional programming concepts in a statically typed language. The fusion of object-oriented and functional programming shows up in many different aspects of Scala; it is probably more pervasive than in any other widely used language. The two programming styles have complementary strengths when it comes to scalability Scala is a pure object-oriented language in the sense that every value is an object. Types and behavior of objects are described by classes and traits which will be explained in subsequent chapters. Classes are extended by sub classing and a flexible Mixin-based composition mechanism as a clean replacement for multiple inheritance.

Tools used for scala :  

A multi-paradigm language

· It can be used in amalgamation with Java

· Patterns built-in language

· A language that expresses.

· High Demand in Market

· Statically Typed Language.

· Growing Frameworks. Creating a Community.

HADOOP ONLINE TRAINING | PROJECT SUPPORT

Hadoop Online Training | contact us : +91 9989445901.

              

Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. The Hadoop framework application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage.

Hadoop is based on work done by Google in the early 2000s – Specifically, on papers describing the Google File System (GFS) published in 2003, and Map Reduce published in 2004 ! This work takes a radical new approach to the problem of distributed computing – Meets all the requirements we have for reliability, scalability etc ! Core concept: distribute the data as it is initially stored in the system – Individual nodes can work on data local to those nodes – No data transfer over the network is required for initial processing.

when to use Hadoop :

1 . For Processing Really BIG Data
2. For Storing a Diverse Set of Data
3. For Parallel Data Processing.

When NOT to use Hadoop : 

1. For Real-Time Data Analysis
2. For a Relational Database System
3. For a General Network File System
4. For Non-Parallel Data Processing.

3 Core Components : 

1. Hadoop Distributed File System (HDFS)
2. Hadoop map reduce
3. hadoop yarn

Hadoop tools:

Ambari
Avro
Cassandra
chukwa
HBase
Hive
Mahout
Pig
Spark
Tez
Zookeeper.

JMETER ONLINE TRAINING | PROJECT SUPPORT

  JMETER ONLINE TRAINING| +91 9989445901.

What is JMeter?

JMeter is a software that can perform load test, performance-oriented business functional test, regression test, etc., on different protocols or technologies.

The protocols supported by JMeter are : 

• Web − HTTP, HTTPS sites 'web 1.0' web 2.0 ajax, flexandflex − ws − amf
• Web Services − SOAP / XML-RPC
• Database via JDBC drivers
• Directory − LDAP Messaging Oriented
• service via JMS Service − POP3, IMAP, SMTP
• FTP Service .

The different types of tests involved are performance testing,load testing and stress testing .Apache jmeter is a desktop application used to simulate heavy load on a server, group of servers, network or object to test its strength or to analyze overall performance under different load types.

 JMeter Features Following are some of the features of JMeter:

• Its free Its an open source software.
• It has simple and intuitive GUI.
• JMeter can load and performance test many different server types:
• Web - HTTP, HTTPS, SOAP, Database via JDBC, LDAP, JMS, Mail- POP3 Itis platform-independent tool. On Linux/Unix, JMeter can be invoked by clicking onJMeter shell script. On Windows
• it can be invoked by starting the jmeter. bat file. It has full Swing and lightweight component support(precompiled JAR uses packagaes javax.swing .* ).
• JMeter store its test plans in XML format. This means you can generate a test plan using a text editor.
• It's full multi-threading framework allows concurrent sampling by many threads and simultaneous sampling of different functions by separate thread g roups. Itis highly Extensible.