Comparison Between Docker and Kubernetes

 Docker and Kubernetes are powerful tools for DevOps, Docker is a tool used to create, deploy, and run applications using containers. It makes it easy to deploy and run applications in a repeatable and secure manner while Kubernetes is a free and open-source tool that helps automate the management of containerized applications. With Kubernetes, you can easily deploy, scale, and manage your applications without the need for manual intervention. This saves time and effort, allowing you to focus on developing your application instead of worrying about the infrastructure.

So let’s Understand What is the difference between Docker and Kubernetes 

Docker and Kubernetes are both tools used for containerization, but they serve different purposes. Docker is a platform for creating and managing containers, which are lightweight and portable software packages that contain everything an application needs to run, including code, libraries, and system tools. Kubernetes, on the other hand, is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.

Docker provides a way to package an application and its dependencies into a container image that can run consistently across different environments. It also provides tools for building, pushing, and pulling container images to and from container registries. Docker makes it easy to create and manage container images, but it does not offer any native features for orchestration.

Kubernetes, on the other hand, provides a way to deploy and manage containerized applications at scale. It automates tasks such as scheduling containers across a cluster of machines, scaling applications based on demand, and rolling out updates and rollbacks. Kubernetes provides features such as load balancing, service discovery, and automatic container placement, which make it easier to manage containerized applications in production.

In summary, Docker is a platform for creating and managing container images, while Kubernetes is a platform for deploying, scaling, and managing containerized applications. While they are often used together, they serve different purposes in the containerization landscape.

Interested In Learning DevOps? Click here to learn

Software Testing Course In Pune

 Software testing is the process of detecting bugs & errors in the code and testing software. Testing is important to have a good quality product provided to the client so that's called software testing. It also helps to identify errors, gaps & missing requirements. 

Software testing is divided into two steps-

Verification: “Are we building the product right?” 

Validation: “Are we building the right product?” 

As software continues to play an important role in every industry, there is a high demand for software testers who can ensure that the software is functioning properly and meeting the needs of end-users. Software testing is a dynamic field that requires continuous learning to keep up with the latest tools, technologies, and testing methodologies. This means that software testers have opportunities for professional development and personal growth.

Interested in starting a career in software testing? Our Software Testing Course In Pune is the best place to learn. These courses will teach you all you need to know about software testing skills. The course starts from the basics where you will start from scratch. In the software testing course, you will learn manual testing and selenium automation testing with java.

Software testing is not a dead-end career. With experience and training, software testers can move up the career ladder to become test managers, quality assurance leads, or software development managers.

While Learning Software Testing one question always arises in our mind: What Is Bug In Software Testing?

Types Of Bugs In Software Testing :

Functional bugs: These are bugs that prevent the software from functioning as it is intended. For example, a button that is supposed to submit a form may not work or a menu item may not navigate to the correct page.

Performance bugs: These are bugs that affect the performance of the software, such as slow response times.

Usability bugs: These are bugs that impact the user experience of the software. Such as a poorly designed user interface, confusing or misleading instructions, or poor accessibility features.

Compatibility bugs: These are bugs that occur when the software does not work correctly with certain hardware or software configurations. For example, the software may not work on a particular version of an operating system or may not be compatible with a specific browser.

Security bugs: These are bugs that can lead to security vulnerabilities, such as unauthorized access, data breaches, or denial of service attacks.

Installation bugs: These are bugs that occur during the installation process, such as incorrect or missing dependencies or conflicts with other software on the system.

For Detail Information about Software Testing you can check out my blog post What Is Software Testing?

Introduction to ETL and Data Warehouse Concepts

The ETL tool executes ETL strategy. The ‘ETL’ stands for “Extract, Transform, and Load”. ETL is generally connected with Data Warehousing ventures. Big organizations always need to move application data starting with multiple source systems to common data warehouse.

Example of source systems: ERP, Databases, File systems, Salesforce, Mainframes, etc.

The ETL tool executes ETL strategy. The ‘ETL’ stands for “Extract, Transform, and Load”. ETL is generally connected with Data Warehousing ventures. Big organizations always need to move application data starting with multiple source systems to common data warehouse.

Example of source systems: ERP, Databases, File systems, Salesforce, Mainframes, etc.

Example of target system / Data warehouse: Teradata, Hadoop, etc.

There are abundant sources for ETL to extract data. This data is then transformed into a mode and from there it is loaded into a data warehouse. There is high a demand in market for professionals who are efficient in this process. Even most of the professionals working on other testing technologies are switching to ETL testing. Hence it is important to gain knowledge about ETL testing along with skills. This requires proper guidance. So when you want ETL training in Pune, you should go for a leader in this domain who is Komal Arora who conducts training in institute Technogeeks, Pune, Maharashtra.

Technogeeks offers Classroom, hands on training. The course is Practically Oriented. The real time examples are given to candidates. It helps candidates to develop skills to apply their theoretical and practical knowledge in projects.

The trainers are working professionals in IT companies. They do personal assessment of every candidate and mentor every candidate personally.

Introduction to ETL and DW Concepts

• What is Data Warehousing?
• Differences : OLTP and Data Warehousing
• Why we need two separate solution for real time and warehouse
• EXTRACTION, TRANSFORMATION, and LOADING of data

Data Marts

• Need and usage of data marts and types of data marts
• Dependent DM & Independent DM

DATA WAREHOUSING LIFE CYCLE

Types of Tables:

• Fact Table
• Dimension table

Schemas:

Fact Table, Star Schema, Snowflake Schema, Fact Constellation Schema

Informatica PowerCenter Tool

• Administrator Module
• Advance Workflow Module
• Command Reference
• Designer Module
• Performance Tuning
• Transformation Modules
• Repository Modules
• Transformation Language Reference

SCD (Slowly Changing Dimensions)

Different types of SCD’s which developer develops and a tester has to test as per different types of data needs of clients.

We implement SCD-1 and SCD-2 in class to show the implementation part more transparently and explain SCD-3 to define how to work on limited historical data as well which is used sometimes.

ETL Tool Implementation and Testing Concepts

Basic Concepts of SQL (Select, Update, Insert, Delete, types of joins, nested query, etc.)

How to design frequently used testing queries to validate the data in source and target for both of the reasons Data Quality and Correctness to ensure that expected data came into the final and mediator target tables or not.

ETL Tool Architecture

• How ETL tool works and what is the basic need of ETL tools in the market
• Similarities between ETL tools and SQL
• Why we use ETL Tools if SQL is the only standard which any Database or Data Warehouse can use
• How ETL Tools work at back end
• Different ETL Tools
• What types of tasks tester performs on ETL for testing purpose

Coding and testing process in different transformation rules

• SAMPLE Loading from source to target
• Transformation of – SORTER, FILTER, EXPRESSION, JOINER, UNION, AGGREAGATOR, SEQUENCE GENERATOR, SQL.

We provide this practice as additional benefit to you so that you can implement jobs by yourself to understand that what developers do in real time which you have to test.

Testing Techniques in ETL

• MINUS Query
• COUNT Query
• UNION Query
• JOIN Query

Other benefits:

• Interview Questions
• Resume preparations
• Live Project
• Assignments
• Real-time Scenarios examples and solution discussion

If you have some technical queries or want to take some Free session / Seminar on ETL Testing first to get proper idea about real time stuff and what would be your roles and responsibilities when you will start working on ETL Testing in real time projects then simply I can suggest to don’t register or pay any fee directly.

Just join Free Demo session in Technogeeks and get all these details like a Technical counseling free of cost. To book your Demo seat on Weekends you may contact via any medium mentioned below:

Contact Details:-

You can register your name for free Demo on: 8600998107 / 7028710777

Email: contact@technogeekscs.co.in

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Find Us on YouTube: TECHNOGEEKS Software Training Institute

How do you learn the best artificial intelligence training?

I am going to share my learning experience with you. I am a working professional in MNC and recently completed my Data science at TECHNOGEEKS online program. Few months back I learnt Python from there only that was an awesome experience for me.  And after the completion of the course I got placed in a reputed company.

After almost a year I decided to learn data science, obviously I had to choose TECHNOGEEKS only because of many reasons. TECHNOGEEKS trainers are the experts of the IT field. According to my personal experience they explain every concept practically. They make you learn to apply the concepts and networks with others and collaborate. They motivate every student so that every student feels positive and confident. The course curriculum is also designed according to the requirement of IT industry. Most importantly they give you a chance to work on live projects under the guidance of experts. Their experts are experienced professionals they have handled many projects on their own and the way they deliver their knowledge to students is best. Means the way they teach in you would understand the algorithm at the time of training (obviously your efforts also matter).

Anyone out of the country and located anywhere in India can join this career enhancing course. This is one of the reputed institutes in Pune. The alumni of the institute are working in MNC’s.

Its better to call on 8600998107 and ask for your queries related to course or you may email on contact@technogeekscs.co.in

TECHNOGEEKS provide 100% assistance to the students and help them to a skilled professional. I would like to say the things in shared is my own experience with TECHNOGEEKS. Even after the completion of course I got placed I got a chance to work onsite in Australia for eight months. Obviously, I was also dedicated to learn Data Science and made my own effort to be a skilled data scientist. I studied to for many hours in a day but yes, the concepts that they make me clear about no one could do in that better way.

Now if we discuss about the future of Data Scientist that completely safe and secure. Even in India soon we would see self-driven cars. From past many years organizations have increasingly realized the importance and value of data. The future data scientist will be able to tackle the most-business- critical and complex challenges that would be helpful for the growth of business and lead it forward.

So, don’t wait if you really want to make your career in AI, Data Science, Python, Machine learning etc. join TECHNOGEEKS.

Contact on the above-mentioned details for future assistance and ask for the upcoming free demo sessions.

Thanks for reading.

Best of luck!

DevOps Training in Pune

DevOps is a set of engineering practices which help in mechanizing the procedures inside programming advancement groups. DevOps can likewise be characterized as the mix of different devices and practices which are consolidated to build an association's product conveyance rate. DevOps includes CAMS which represents Culture, Automation, Measurement, and Sharing.

In more straightforward terms, we can say DevOps go about as a scaffold among innovation and people fixing the hole. Our DevOps Training course in Pune at Aundh, Pune is extraordinarily structured with the previously mentioned highlights. Notwithstanding the abovementioned, the DevOps preparing affirmation course additionally covers the specialized and business advantages of utilizing DevOps in software teams.

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Get Hands-on Training on Digital Marketing, Work on Industry-specific Use-cases. Learn the skills of the World's Best Marketers. Get trained by Real Digital Marketers. Batches for both, Beginners & Working Professionals.Grab Your Seats Now! Courses: SEO, #PPC, #SMO

🌍 https://technogeekscs.com
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📲 +91 860-099-8107

Best Course for Data scientist in Pune!

Data science combines programming skills, domain expertise, the knowledge of statistics and mathematics to extract insights from data. Data science applies scientific methods, processes, systems and algorithms to dig out insights from data in structured and unstructured forms.

The professionals working on Data science apply machine learning algorithms to audio, images, numbers, text, video, etc. In this way artificial intelligence (AI) systems are created. Data Science assists to get data insights, makes it usable according to business requirements.




Data science amalgamates statistics, data analysis, machine learning and their related method for analysis of actual phenomena with data. Data science utilizes various tools to draw graphical representation to get knowledge about business progress.

To grab the increasing job opportunities in Data Science field, many people prefer to get knowledge of Data science. Many times, it is thought that Data Science and Data analysis are same. But both of their job roles are different. Even there is difference between data science and statistics.
The data science possesses many components such as Data Analysis, Machine Learning, Deep Learning, Data Visualization, Natural Language Processing (NLP) and Deep Learning, etc. The ‘Python’ and ‘R’ are highly used languages in Data Science. Their knowledge helps to find Quicker solutions during internship.

Data scientist carries out research and analysis on data. The data analysis done by the Data scientists is necessary for companies for trends’ prediction based on big data, business insights and growth prediction.

The Machine Learning & Data Visualization are the prominent components of both Data science & Artificial Intelligence as well. The practical implementation of algorithms which one has learnt theoretically in Machine Learning (ML) is essential for which one must work on some projects. Such person should practice implementation of algorithms on projects. Natural language processing is a branch of artificial intelligence. It mainly focuses on automated interpretation and generation of human language.

So, to learn all these components, the job-oriented data science training is very essential for the fresher as well as working professionals who want to do career either as a data scientist or in field of Data Science.



Institutional Guidance for Data Science:
Here, Technogeeks is one of the best institutions providing Data Science with Python training. It provides complete Hands on training. The Python is covered from scratch.

Following are the main components which Technogeeks provides in course:

1. Python
2. Artificial Intelligence components –
3. Data Visualization
4. Machine Learning
5. Data Analysis by NumPy, Pandas
6. Deep Learning
7. Natural Language Processing (NLP)