Felix Kling

Felix Kling

1584515160

How to split the Dataset into Test and Train

In this video i will tell you how you can split your database into two sections that is test and train ,i have also explained what are dependent and independent variable we will be using sklearn’s train_test_split package to split our dataset

  • train data : it does what the name suggests it trains our machine learning algorithm
  • test data : after the model is trained test data is used to test its efficiency

download dataset and notebook used in this video: https://github.com/harshitroy2605/splitting-dataset-into-test-and-train

#machine-learning #python

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How to split the Dataset into Test and Train
Ananya Gupta

Ananya Gupta

1609749973

Is Software Testing a Good for Career?

Software Testing is the hottest job at present time. The requirement for a software tester is increasing day by day with a good salary package depended on their skills in the software development companies.

Software testing has become a core part of application/product implementations. The good who want to make a career in software testing because it has a great scope of software testing is increasing day-by-day in the IT field.

The roles of a software tester are given according to their skills and experience. Here are the following is given below:

QA Analyst (Fresher)
Sr. QA Analyst (2-3 years’ experience)
QA Team Coordinator (5-6 years’ experience)
Test Manager (8-11 years’ experience)
Senior Test Manager (14+ experience)

Reasons Why Software Testing Is Good Career Option

Good Salary Package
Software tester gets paid a high salary package on which a software developer gets. It doesn’t matter beginner or fresher payment scale is on the same level all depended on their skill. Companies raise their salary based on skill, experience, and certification.

High In Demand
Now in the modern age competition is high for a software tester to provide high-quality products and services. For quality, final product testing is a basic core screening element which is the demand for Automation software testing is high in comparison to manual testing. Similarly, both software development and testing have great career opportunities for never-ending opportunities.

Easy To Enter In IT Sector
Whatever stream graduates can easily get into the IT sector by completed their online Software testing course. You don’t need to know advanced coding knowledge if you think that requires it. The only matter is interest to learn and work.

Easy To Learn
Many institutes provide software testing courses or online Software training from where you learn tools used for testing can easily by anyone who has an interest. Those who have basic coding skills can enter into software testing. However, It will not be easy for those who choose software testing just because of the trend and don’t have their interest in it.

Work As Freelancer
Software Testing is a flexible job, you can work on freelancing. Now there is the option to work from home in the IT sector in a flexible to maintain a work-life balance.

In other words, many companies prefer freelance work to reduce the cost and also the result is high, therefore one who has done a software testing training course either can work freelance or regular job the decision is up to you.

#software testing online training #software testing online course #software testing training in noida #software testing training in delhi #software testing training #software testing course

vidhu dev

1604573300

Approaches to Mobile Application Testing

Mobile application testing is the process of every application generated for handheld devices has to go through. This is to assure a specific level of the place before a request is delivered into the marketplace (app store/ play store). Mobile Application Testing is one of the software testing of applications on mobile devices to verify that the properties are running easily in terms of their operations, usability, functions, operations, and interaction. Looking for Mobile Testing Training in Chennai? Step into FITA, We are the best leading institution for Mobile Testing Course in Chennai.

There are two different approaches for Mobile Application testing based on their performance, they are:
• Manual testing
• Automated testing

Manual Testing

Manual testing, as the title implies, is a human method, majorly concentrated on user activity. Evaluation and Report of the application’s security, functionality usability arranged through the factor of a user in an explorative method.
This assures that your statement lives up to a model of user-friendliness. This is a type of measurement that is frequently time-consuming as enthusiasts manage to get the opportunity to become identified.
Twenty percent of app testing must be arranged manually through the guidance of beta and alpha releases and remaining must be motorized.
let’s move on to automated mobile application testing.

Automated Testing

Automated testing is secondary access to mobile application testing. In this method, an array of samples tests are structured. It should generally cover 80% of the testing process. The percentage is not required, but a common guideline developed in the software industry. Here is a list of test events that are frequently achieved through this critical method –

• Automate various tedious standard test cases.
• Automate test cases that can be quickly programmed
• Automate test cases that are impossible to perform manually
• Automate test cases for regularly used functionality
• Automate test cases with expected results

Are you looking for Mobile Testing Training in Bangalore? Step into FITA, and build a strong career. FITA one of the best leading institutions for the Mobile Testing Course in Bangalore.

Check out mobile application testing online training at home with instructor-led live practice and real-life project experience.

#mobile testing training in chennai #mobile testing course in chennai #mobile testing training in bangalore #mobile testing course in bangalore #mobile application testing online training #mobile testing online training

Anil Cynix

1592470812

Before we learn anything about ETL Testing its important to learn about Business Intelligence and Dataware. Let’s get started –

What is BI?
Business Intelligence is the process of collecting raw data or business data and turning it into information that is useful and more meaningful. The raw data is the records of the daily transaction of an organization such as interactions with customers, administration of finance, and management of employee and so on. These data’s will be used for “Reporting, Analysis, Data mining, Data quality and Interpretation, Predictive Analysis”.

What is Data Warehouse?
A data warehouse is a database that is designed for query and analysis rather than for transaction processing. The data warehouse is constructed by integrating the data from multiple heterogeneous sources.It enables the company or organization to consolidate data from several sources and separates analysis workload from transaction workload. Data is turned into high quality information to meet all enterprise reporting requirements for all levels of users.

What is ETL?
ETL stands for Extract-Transform-Load and it is a process of how data is loaded from the source system to the data warehouse. Data is extracted from an OLTP database, transformed to match the data warehouse schema and loaded into the data warehouse database. Many data warehouses also incorporate data from non-OLTP systems such as text files, legacy systems and spreadsheets.

Let see how it works

For example, there is a retail store which has different departments like sales, marketing, logistics etc. Each of them is handling the customer information independently, and the way they store that data is quite different. The sales department have stored it by customer’s name, while marketing department by customer id.

Now if they want to check the history of the customer and want to know what the different products he/she bought owing to different marketing campaigns; it would be very tedious.

The solution is to use a Datawarehouse to store information from different sources in a uniform structure using ETL. ETL can transform dissimilar data sets into an unified structure.Later use BI tools to derive meaningful insights and reports from this data.

The following diagram gives you the ROAD MAP of the ETL process

ETL Testing or Datawarehouse Testing : Ultimate Guide

1.Extract

  • Extract relevant data
    2.Transform
  • Transform data to DW (Data Warehouse) format
  • Build keys - A key is one or more data attributes that uniquely identify an entity. Various types of keys are primary key, alternate key, foreign key, composite key, surrogate key. The datawarehouse owns these keys and never allows any other entity to assign them.
  • Cleansing of data :After the data is extracted, it will move into the next phase, of cleaning and conforming of data. Cleaning does the omission in the data as well as identifying and fixing the errors. Conforming means resolving the conflicts between those data’s that is incompatible, so that they can be used in an enterprise data warehouse. In addition to these, this system creates meta-data that is used to diagnose source system problems and improves data quality.

3.Load

  • Load data into DW ( Data Warehouse)
  • Build aggregates - Creating an aggregate is summarizing and storing data which is available in fact table in order to improve the performance of end-user queries.

What is ETL Testing?
ETL testing is done to ensure that the data that has been loaded from a source to the destination after business transformation is accurate. It also involves the verification of data at various middle stages that are being used between source and destination. ETL stands for Extract-Transform-Load.

ETL Testing Process
Similar to other Testing Process, ETL also go through different phases. The different phases of ETL testing process is as follows

ETL Testing or Datawarehouse Testing : Ultimate Guide

ETL testing is performed in five stages

1.Identifying data sources and requirements
2.Data acquisition
3.Implement business logics and dimensional Modelling
4.Build and populate data
5.Build Reports
ETL Testing or Datawarehouse Testing : Ultimate Guide.

These are the basics of etl testing course if u want to know more plz visit Online IT Guru website.

#etl testing #etl testing course #etl testing online #etl testing training #online etl testing training #etl testing online training

Inside ABCD, A Dataset To Build In-Depth Task-Oriented Dialogue Systems

According to a recent study, call centre agents’ spend approximately 82 percent of their total time looking at step-by-step guides, customer data, and knowledge base articles.

Traditionally, dialogue state tracking (DST) has served as a way to determine what a caller wants at a given point in a conversation. Unfortunately, these aspects are not accounted for in popular DST benchmarks. DST is the core part of a spoken dialogue system. It estimates the beliefs of possible user’s goals at every dialogue turn.

To reduce the burden on call centre agents and improve the SOTA of task-oriented dialogue systems, AI-powered customer service company ASAPP recently launched an action-based conversations dataset (ABCD). The dataset is designed to help develop task-oriented dialogue systems for customer service applications. ABCD consists of a fully labelled dataset with over 10,000 human dialogues containing 55 distinct user intents requiring sequences of actions constrained by company policies to accomplish tasks.

https://twitter.com/asapp/status/1397928363923177472

The dataset is currently available on GitHub.

#developers corner #asapp abcd dataset #asapp new dataset #build enterprise chatbot #chatbot datasets latest #customer support datasets #customer support model training #dataset for chatbots #dataset for customer datasets

Tamia  Walter

Tamia Walter

1596754901

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

  • Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
  • Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
  • While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

  • Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
  • Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
  • End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr