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	<title>IT Education &#8211; Rafa &amp; Kiko</title>
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	<description>Website oficial do Rafa &#38; Kiko. O Rafa é um menino de 8 anos, muito alegre, divertido e um pouco traquinas, que não gosta muito de estudar, mas que tem no seu fiel amigo Kiko um companheiro para viver grandes aventuras enquanto aprende.</description>
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	<title>IT Education &#8211; Rafa &amp; Kiko</title>
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		<title>DML: Data Manipulation Language</title>
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		<dc:creator><![CDATA[Carmen Santana]]></dc:creator>
		<pubDate>Mon, 27 Nov 2023 19:34:54 +0000</pubDate>
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					<description><![CDATA[The DELETE statement can be used in SQL to delete various records from a given table. On the basis of]]></description>
										<content:encoded><![CDATA[<p>The DELETE statement can be used in SQL to delete various records from a given table. On the basis of the condition that has been set in the WHERE clause, one can delete single or multiple records. This statement in SQL is used to update the data that is present in an existing table of a database. The UPDATE statement can be used to update single or multiple columns on the basis of our specific needs.</p>
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" width="308px" alt="what is Data Manipulation Language" /></p>
<p>One can submit the query to Impala daemon running on any node of your cluster and that node serves as the coordinator node for that query. Coordinator node distributes the query for processing among the cluster of impalad daemons of other nodes. The other nodes transmit the partial data back to the coordinator, which then constructs the final result set for that query.</p>
<h2>SQL Operators</h2>
<p>In a query by example environment the user requests basic information about a record of interest—for example, a company name. The system then returns a template, which may or may not fit what is being requested. This template can then be used by the user to further refine the query and to receive additional examples to use in formulating a more precise query. The QBE interface developed for the relational model is closely tied to the forms-based interface. The examples come back in the form of tables, and the user fills in known quantities.</p>
<p>Data Manipulation Language (DML) is a language by which users access and manipulate data. Data manipulation refers to retrieval, insertion, deletion and modification of data or information stored in the database. The basic goal is to attain efficient human interaction with the system. DML is just like simple English language and is mostly used as a Structured Query Language (SQL) for information retrieval and manipulation. SQL uses certain commands like CREATE, DROP, INSERT, etc. to carry out the required tasks. What the reader should realize from this discussion is that there is no one correct means of retrieving information  from a database.</p>
<h2>Introduction to Data Manipulation Language</h2>
<p>This chapter introduces the SQL commands that are used to create and maintain the tables, views, indexes, and other structures that make up the database. As a complete data manipulation language, SQL contains statements that allow inserting, modifying,  deleting, and retrieving <a href="https://deveducation.com/en/blog/basic-sql-queries-for-those-who-are-just-starting-in-programming/">basis sql</a> data. However, to a database designer, the portions of SQL that support the creation of database structural elements are of utmost importance. In current versions of SQL, none of the groupings of database elements are related to physical storage structures.</p>
<div style='text-align:center'></div>
<p>UPDATE command is used for the modification of one or more records in the existing table. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. ArXiv is committed to these values and only works with partners that adhere to them. One of the widely used tools for data manipulation is Microsoft Excel.</p>
<p>You can choose a specific row to update by including theWHERE clause and utilize a unique set of values. If Fredrick decided to change his last name then we can update the LASTNAME column based on the EMPLOYEEID of 3. The DML is used to manipulate data, which is a programming language. It short for Data Manipulation Language that helps to modify data like adding, removing, and altering databases.</p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' 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" width="308px" alt="what is Data Manipulation Language" /></p>
<p>In this lesson we learned about Data Manipulation Language, or the language used by humans and programs to directly interact with a database. DML does not create or destroy databases themselves, but instead can be used to manipulate information held in them. For years, it was used almost exclusively by computers that sought to access databases, and only with the rise of SQL has been used by people. By having a notion of parallelism—the partition—within the topics, Kafka is able to provide both ordering guarantees and load balancing over a pool of consumer processes. This is achieved by assigning the partitions in the topic to the consumers in the consumer group so that exactly one consumer in the group consumes each partition.</p>
<ul>
<li>Data manipulation languages tend to have many different flavors and capabilities between database vendors.</li>
<li>The Data Definition Language, or DDL, is made up of the commands responsible for creating, editing and deleting SQL tables.</li>
<li>The time to complete the task can be further reduced by automated provisioning of servers, configuration management, application deployment, and delivery.</li>
<li>Coordinator node distributes the query for processing among the cluster of impalad daemons of other nodes.</li>
<li>For example, with SQL, it would be instructions such as create table, alter table, &#8230;</li>
</ul>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>How to perform Manual Mobile Testing?</title>
		<link>https://www.rafaekiko.pt/how-to-perform-manual-mobile-testing/</link>
		
		<dc:creator><![CDATA[Carmen Santana]]></dc:creator>
		<pubDate>Fri, 09 Dec 2022 19:37:55 +0000</pubDate>
				<category><![CDATA[IT Education]]></category>
		<guid isPermaLink="false">https://www.rafaekiko.pt/?p=5816</guid>

					<description><![CDATA[There are too many factors to consider – the scale and the scope of the project, the delivery date, the]]></description>
										<content:encoded><![CDATA[<p>There are too many factors to consider – the scale and the scope of the project, the delivery date, the size and the skill level of the team, and so on. Over the last few years, manual app testing has started losing its ground to the automated approach – the latter proving to be faster and more efficient. Having said that, it might be too early to claim manual testing dead as it has its own advantages. Automated app testing <a href="https://deveducation.com/en/blog/mobile-application-testing/">mobile app manual testing</a> is used in order to test features that require a high load of tests to be executed simultaneously, as well as those that require a large amount of data. Both are critiqued and advocated all over the web, so choosing the one to fit your project is not an easy task. In this post, we’ll give you a brief rundown on the difference between them, their respective pros and cons, and the ways developers can take advantage of both.</p>
<ul>
<li>From simple calendars to cutting-edge AI-based tools, apps reach out to a plethora of audiences with unimaginable functionalities and features.</li>
<li>That makes mobile app testing an essential element of the development process to meet these needs.</li>
<li>A few simple steps of “upload,” “launch,” “start” (as demonstrated in the later section), and you are done with mobile application manual testing easily.</li>
<li>In addition, it is utilized to measure and analyze various services, especially web applications for mobile.</li>
</ul>
<p>Here are the five key steps you need to take when testing an app manually. By doing so, you will get to optimize tests and enable faster execution times if the same kinds of tests are run on multiple devices. Even though less planning is one of the fortes of manual tests, there needs to be a direction for testers, and for that, a plan needs to be there. A test plan, first of all, helps you assess the progress of the tests. They tested their app and found most of the issues users were likely to encounter, and they rectified those before deployment. Learn how regression testing addresses a common issue that developers face — the emergence of old &#8230;</p>
<h2>Why Mobile App Testing?</h2>
<p>Mobile app testing allows checking mobile app performance and functions without any errors, issues, or glitches. For example, testers can find out whether users can successfully download the app to multiple devices. Hence, you can verify the seamless functioning of the mobile app with mobile app testing. In the next section of the mobile app testing tutorial, let’s look at the importance of testing mobile apps. That is where BrowserStack shines because it provides network simulation, geolocation testing, live debugging, and more on 3000+ real devices &amp; browsers.</p>
<p>The combination of multiple actions such as swiping, moving forward, backward, tapping, or swiping in a different order (like circular) is  hard to predict from the user’s point of view. Only if we can do these actions ourselves through mobile application manual testing will we notice hidden bugs. Mobile applications have become quite complex in development and their working.</p>
<h2>Cypress Testing</h2>
<p>You’ll have your personal account manager to help you through the entire development process and ensure your satisfaction along the way. Automated testing can be used on all stages of the mobile app development cycle. However, there are certain cases that are particularly fitting for it. We have been providing automated and manual performance testing services since 2008, and have done it for 300+ customers, so our 400 employees will be happy to share their experience. The software testing that  identifies system flaws and establishes whether the system’s data and resources are secure from potential hackers is known as security testing. It ensures that the software program and application remain secure and unaffected by any dangers or vulnerabilities that could result in harm.</p>
<div style='text-align:center'></div>
<p>In the next section of the mobile app testing tutorial, we will learn some of the best practices for mobile app testing. If you are looking for a list of all possible challenges and solutions for those, you can go through our earlier mobile app testing tutorial on mobile app testing challenges. This section of the mobile app testing tutorial focuses on the challenges that testers might face during mobile app testing. You can perform both manual and automated mobile app testing on LambdaTest. Let us learn this in more detail in the below section of the mobile app testing tutorial.</p>
<h2>What Is an Example of Manual Testing?</h2>
<p>Since iOS has a limitation- it is available only on Apple devices, it is much easier to test iOS apps due to reduced device complexities. You can also refer to the below video tutorial on how to perform real-time browser testing on LambdaTest. The file may be tested with open-sourced Appium and/or Apple’s proprietary XCUITest framework. It will let you optimize the time per each test session when repeating precisely the same test on different devices. And, in case you discover a bug, you’ll be able to reproduce it easily and quickly.</p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' src="https://deveducation.com/wp-content/uploads/2023/08/popular-web-design-programs-16.webp" width="307px" alt="mobile app manual testing" /></p>
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		<title>The Pros and Cons of Redux Open JavaScript Library</title>
		<link>https://www.rafaekiko.pt/the-pros-and-cons-of-redux-open-javascript-library/</link>
		
		<dc:creator><![CDATA[Carmen Santana]]></dc:creator>
		<pubDate>Fri, 10 Jun 2022 00:16:54 +0000</pubDate>
				<category><![CDATA[IT Education]]></category>
		<guid isPermaLink="false">https://www.rafaekiko.pt/?p=5812</guid>

					<description><![CDATA[Although as web developers, we’re quite used to writing them, we write it differently to most of the code we]]></description>
										<content:encoded><![CDATA[<p>Although as web developers, we’re quite used to writing them, we write it differently to most of the code we write. In other areas we strive for DRY, reusable code with single responsibilities. But in front-end, we write highly specialised, tightly coupled, multi-responsibility code to achieve simple tasks. In simpler applications, where only a local component-level state is needed, Redux can be overkill and slow development time while increasing the code base’s complexity. Similarly, if an application uses server-side rendering or has minimal dynamic functionality, Redux may also be unnecessary. In these cases, developers will be more efficient using a component-level state instead of introducing Redux into their web app stack.</p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' src="image/jpeg;base64,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" width="307px" alt="Main pros of Redux" /></p>
<p>Reducers are pure functions that take the current state of an application, perform an action, and return a new state. The reducer handles how the  state (application data) will change in response to an action. As shown in the image, Redux takes away the responsibility from individual components to manage a state. Instead, we create a single store that handles our state management. On top of that, all communication regarding reading, updating, or creating data happens via the store. Moreover, components can listen to state changes to update the UI and avoid these data inconsistency bugs.</p>
<h2>of the Best Programming Languages for AI Development</h2>
<p>The looseness with which React can be employed is great for experimentation, but challenging when you’re trying to do things the right way. Knowing there isn’t one yet will save you some time here. Notice that in the above code the markup is inside your JS class, and your css is imported at the top as well. It’s unusual, and many developers have a hard time getting used to it, but once you get over your preconceptions it becomes extremely familiar. It studies the Flux architecture and removes unnecessary complexity. If we dig deeper into this statement, we see that Redux is a state management library that you can use with any JS library or framework like React, Angular, or Vue.</p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' src="https://deveducation.com/wp-content/uploads/2023/07/ai-services-must-try-guide-19.webp" width="303px" alt="Main pros of Redux" /></p>
<p>When you update your state with Redux, you always start with an action. Actions are in the form of Javascript objects, containing a type and an optional payload. Redux is a  lightweight state management tool for JavaScript applications, <a href="https://deveducation.com/en/blog/what-is-redux-and-why-is-it-needed/">what is redux for</a> released in 2015 and created by Dan Abramov and Andrew Clark. State, a term from React, is an object that holds data contained within a component. State is a central component to making dynamic pages through conditional rendering.</p>
<h2>Basic use of React Navigation</h2>
<p>State management is essentially a way to facilitate communication and sharing of data across components. It creates a tangible data structure to represent the state of your app that you can read from and write to. That way, you can see otherwise invisible states while you’re working with them. Also, you can avoid using Redux if your data comes from a single data source per view. In other words, if you don’t require data from multiple sources, there’s no need to introduce Redux.</p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' src="https://deveducation.com/wp-content/uploads/2023/03/websocket-guide-using-61.webp" width="306px" alt="Main pros of Redux" /></p>
<p>Hey everyone, I am a new self-taught developer and have some questions regarding apps. I apologize in advance if the question is too obvious or simple. We can persist some state of the application to local storage and restore it after refresh. STORE：The Store is where the entire state of the application is listed. It manages the state of the application and has scheduling capabilities.</p>
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