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Introduction to SSIS

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Why do we need SSIS with the Usage

SQL Server Integration services, as the name suggests, provides a whole bunch of services for the SQL Server Database. The extraction of data from any kind of source is made possible using SSIS. SSIS has the ability to extract data from sources like JSON, Excel Files, CSV files, XML files, and other databases like Oracle DB.  Apart from extraction, the data from different sources can be merged using this tool. The above two functions contribute to the property where the developer is able to organize, clean up and systemize the data before loading it to any database using SSIS.

It’s a good tool, one of the best in current times, being used for the population of data warehouses, given that, this platform automates the process of data loading, extraction, and transformation. The ease of use and various features being offered for analysis, identification, and processing of data is what drives the developer to use SSIS.

Working Of SSIS

The next major component in SSIS is Data Flow. As the name suggests, Data Flow is the part where all the data related operations happen. This is where data can be extracted from any source (JSON, XML, Excel, DB tables, etc). If there needs to be any transformation applied to this data, as the addition of text or modification of the extracted dates or any kind of filter, that also happens in the data flow. Finally, the data flow is where the destination for loading the data is defined. The entire ETL happens within the data flow and once this is completed successfully, the control moves back to the control flow to the next task/container lined up after the data flow.

The next component of the SSIS tool is a Task. It is a unit of work or set of instructions. The only difference here is that it’s a drag and drop option which can be configured and modified once called in the control flow. Data Flow is an SSIS task. Some other tasks are namely Execute SQL Task (for executing a SQL Query directly from control flow), File System Task (reading, writing, manipulation of a file), Send Mail Task (sending out emails), FTP task (establish a connection to a destination using FTP to extract or load data), XML Task, etc.  These tasks can be grouped as well. A group of tasks is known as a container. The container can work in three ways which are Sequence Container (a set of tasks arranged in order and can be modified together), For Loop Container (a set of tasks, which run in a loop till when a given condition is true), and For Each Loop Container.

Lastly, there are parameters, which can be looked at as variables. These are values needed in the package for various tasks to be completed. They can be hardcoded or provided at run-time by the user.

Advantages of SSIS

Some of the major benefits of SQL Server Integration Services are:

No requirement for coding. The drag and drop technique is used for the creation of workflows

Minimal maintenance is needed. The packages are automated and run on the scheduled job

SQL Server and Visual Studio are tightly integrated through this platform

Implementation is not time taken and flows are speedy.

Heavily dependent on SQL Server. The packages can fail if the database is down.

Integration with third-party services is flaky.


This article covered SSIS very briefly. If someone is willing to take up development using SSIS, they must make sure they have a strong knowledge of SQL Server Database and a basic understanding of automation.

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What Is The Lambda Function In Python And Why Do We Need It?

In this article, we will learn the lambda function in Python and why we need it and see some practical examples of the lambda function.

What is the lambda function in Python?

Lambda Function, often known as an ‘Anonymous Function,’ is the same as a normal Python function except that it can be defined without a name. The def keyword is used to define normal functions, while the lambda keyword is used to define anonymous functions. They are, however, limited to a single line of expression. They, like regular functions, can accept several parameters.

Syntax lambda arguments: expression

This function accepts any number of inputs but only evaluates and returns one expression.

Lambda functions can be used wherever function objects are necessary.

You must remember that lambda functions are syntactically limited to a single expression.

Aside from other types of expressions in functions, it has a variety of purposes in specific domains of programming.

Why do we need a Lambda Function?

When compared to a normal Python function written using the def keyword, lambda functions require fewer lines of code. However, this is not quite true because functions defined using def can be defined in a single line. But, def functions are usually defined on more than one line.

They are typically employed when a function is required for a shorter period (temporary), often to be utilized inside another function such as filter, map, or reduce.

You can define a function and call it immediately at the end of the definition using the lambda function. This is not possible with def functions.

Simple Example of Python Lambda Function Example # input string inputString = 'TUTORIALSpoint' # converting the given input string to lowercase and reversing it # with the lambda function reverse_lower = lambda inputString: inputString.lower()[::-1] print(reverse_lower(inputString)) Output

On execution, the above program will generate the following output −

tniopslairotut Using Lambda Function in condition checking Example # Formatting number to 2 decimal places using lambda function formatNum = lambda n: f"{n:e}" if isinstance(n, int) else f"{n:,.2f}" print("Int formatting:", formatNum(1000)) print("float formatting:", formatNum(5555.4895412)) Output

On execution, the above program will generate the following output −

Int formatting: 1.000000e+03 float formatting: 5,555.49 What is the difference between Lambda functions and def-defined functions? Example # creating a function that returns the square root of # the number passed to it def square(x): return x*x # using lambda function that returns the square root of # the number passed lambda_square = lambda x: x*x # printing the square root of the number by passing the # random number to the above-defined square function with the def keyword print("Square of the number using the function with 'def' keyword:", square(4)) # printing the square root of the number by passing the # random number to the above lambda_square function with lambda keyword print("Square of the number using the function with 'lambda' keyword:", lambda_square(4)) Output

On execution, the above program will generate the following output −

Square of the number using the function with 'def' keyword: 16 Square of the number using the function with 'lambda' keyword: 16

As shown in the preceding example, the square() and lambda_square () functions work identically and as expected. Let’s take a closer look at the example and find out the difference between them −

Using lambda function Without Using the lambda function

Single-line statements that return some value are supported. Allows for any number of lines within a function block.

Excellent for doing small operations or data manipulations. This is useful in cases where multiple lines of code are required.

Reduces the code readability

Python lambda function Practical Uses Example

Using Lambda Function with List Comprehension

is_odd_list = [lambda arg=y: arg * 5 for y in range(1, 10)] # looping on each lambda function and calling the function # for getting the multiplied value for i in is_odd_list: print(i()) Output

On execution, the above program will generate the following output −

5 10 15 20 25 30 35 40 45

On each iteration of the list comprehension, a new lambda function with the default parameter y is created (where y is the current item in the iteration). Later, within the for loop, we use i() to call the same function object with the default argument and obtain the required value. As a result, is_odd_list saves a list of lambda function objects.


Using Lambda Function with if-else conditional statements

# using lambda function to find the maximum number among both the numbers print(find_maximum(6, 3)) Output

On execution, the above program will generate the following output −

6 Example

Using Lambda Function with Multiple statements

inputList = [[5,2,8],[2, 9, 12],[10, 4, 2, 7]] # sorting the given each sublist using lambda function sorted_list = lambda k: (sorted(e) for e in k) # getting the second-largest element second_largest = lambda k, p : [x[len(x)-2] for x in p(k)] output = second_largest(inputList, sorted_list) # printing the second largest element print(output) Output

On execution, the above program will generate the following output −

[5, 9, 7] Python lambda function with filter() Example inputList = [3, 5, 10, 7, 24, 6, 1, 12, 8, 4] # getting the even numbers from the input list # using lambda and filter functions evenList = list(filter(lambda n: (n % 2 == 0), inputList)) # priting the even numbers from the input list print("Even numbers from the input list:", evenList) Output

On execution, the above program will generate the following output −

Even numbers from the input list: [10, 24, 6, 12, 8, 4] Python lambda function with map()

Python’s map() function accepts a function and a list as arguments. The function is called with a lambda function and a list, and it returns a new list containing all of the lambda-changed items returned by that function for each item.


Using lambda and the map() functions to convert all the list elements to lowercase

# input list inputList = ['HELLO', 'TUTORIALSpoint', 'PyTHoN', 'codeS'] # converting all the input list elements to lowercase using lower() # with the lambda() and map() functions and returning the result list lowercaseList = list(map(lambda animal: animal.lower(), inputList)) # printing the resultant list print("Converting all the input list elements to lowercase:n", lowercaseList) Output

On execution, the above program will generate the following output −

Converting all the input list elements to lowercase: ['hello', 'tutorialspoint', 'python', 'codes'] Conclusion

In this tutorial, we learned in-depth the lambda function in Python, with numerous examples. We also learned the difference between the lambda function and the def function.

Five Reasons Why We Need Poetry In Schools

Let me start with this: We need poetry. We really do. Poetry promotes literacy, builds community, and fosters emotional resilience. It can cross boundaries that little else can. April is National Poetry Month. Bring some poetry into your hearts, homes, classrooms and schools. Here are five reasons why we need poetry in our schools.

Reason #1: Poetry helps us know each other and build community. In this blog , I described how poetry can be used at the start of the year to learn about where students come from and who they are. Poetry can allow kids to paint sketches of their lives, using metaphor, imagery and symbolic language to describe painful experiences, or parts of themselves that they’re not ready to share. Poetry allows kids to put language to use-to make it serve a deep internal purpose, to break rules along the way (grammar, punctuation, capitalization — think of e.e. cummings) and to find voice, representation, community perhaps.

Reason #2: When read aloud, poetry is rhythm and music and sounds and beats. Young children — babies and preschoolers included — may not understand all the words or meaning, but they’ll feel the rhythms, get curious about what the sounds mean and perhaps want to create their own. Contrary to popular belief amongst kids, boys get really into poetry when brought in through rhythm and rhyme. It’s the most kinesthetic of all literature, it’s physical and full-bodied which activates your heart and soul and sometimes bypasses the traps of our minds and the outcome is that poetry moves us. Boys, too.

Reason #3: Poetry opens venues for speaking and listening, much neglected domains of a robust English Language Arts curriculum. Think spoken word and poetry slams. Visit this Edutopia article for more ideas. Shared in this way, poetry brings audience, authentic audience, which motivates reluctant writers (or most writers, for that matter) .

Reason #4: Poetry has space for English Language Learners. Because poems defy rules, poetry can be made accessible for ELLs — poems can be easily scaffolded and students can find ways of expressing their voices while being limited in their vocabulary. Furthermore, poetry is universal. ELLs can learn about or read poetry in their primary language, helping them bridge their worlds. (This is not quite so true for genres such as nonfiction text that get a lot of airtime these days.)

Reason #5: Poetry builds resilience in kids and adults; it fosters Social and Emotional Learning. A well-crafted phrase or two in a poem can help us see an experience in an entirely new way. We can gain insight that had evaded us many times, that gives us new understanding and strength. William Butler Yeats said this about poetry: “It is blood, imagination, intellect running chúng tôi bids us to touch and taste and hear and see the world, and shrink from all that is of the brain only.” Our schools are places of too much “brain only;” we must find ways to surface other ways of being, other modes of learning. And we must find ways to talk about the difficult and unexplainable things in life — death and suffering and even profound joy and transformation.

On this topic, Jeanette Winterson, a poet and writer, says this:

“…When people say that poetry is a luxury, or an option, or for the educated middle classes, or that it shouldn’t be read in school because it is irrelevant, or any of the strange and stupid things that are said about poetry and its place in our lives, I suspect that the people doing the saying have had things pretty easy. A tough life needs a tough language – and that is what poetry is. That is what literature offers — a language powerful enough to say how it is. It isn’t a hiding place. It is a finding place.”

A final suggestion about bringing poetry into your lives: don’t analyze it, don’t ask others to analyze it. Don’t deconstruct it or try to make meaning of it. Find the poems that wake you up, that make you feel as if you’ve submerged yourself in a mineral hot spring or an ice bath; find the poems that make you feel (almost) irrational joy or sadness or delight. Find the poems that make you want to roll around in them or paint their colors all over your bedroom ceiling. Those are the poems you want to play with — forget the ones that don’t make sense. Find those poems that communicate with the deepest parts of your being and welcome them in.


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Why We Must Recreate The Wheel

First of all, I must apologize to the physics people out there who read the title and expected this article to explain a new three-dimensional figure that would redefine transport and how we think about mobility. Sadly, I have not yet come up with this idea. But I assure you, I will write a post about it when I do. This is not that post.

“Recreating the wheel” is a frequently heard term in schools and is mostly used as a complaint. As educators are pushed into new realms of technology, teaching strategies or classroom settings, they must recreate documents and activities to fit these new educational arenas. But there is more to these complaints than the yearly stress of reworking lessons. In the digital age, it can be as simple as a slip of the finger and all of our precious documents have been deleted.

No more worksheets, handouts, rubrics, tests! We have but two options then: recreate all of our “wheels” or quit teaching and become a used car salesman.

Those who decide we’ve got a few years left in us will take on the daunting task of recreating everything we’ve taught in the past. And as we are tearing through The Great Gatsby trying to find a quote about the woman in the yellow dress, a little light flashes on.

We begin to question the assignment itself. “Why do I need to find the woman in the yellow dress? What did this worksheet actually focus on? What skill was I trying to teach?” And we realize that we haven’t asked that question since we originally created the worksheet. Somewhere, years ago, this worksheet was the work of a dreamer, a person who was going to cram symbolism down the throats of every unwilling tenth grader so that they’d never be able to drive past the big yellow arches without wondering, “What are they trying to make me feel?”

But years and repetition have diluted the aspirations of that worksheet. Over time, we lose focus and forget what it was we were trying to teach with these activities, and we simply try to get through them. If the kids can answer the questions, then they must have learned something. Right?

The Superior Teacher

Over time, all teachers become driven by their handouts, their finely tuned worksheets, their greatly loved activities. We begin to forget why we use these and simply use them because we have a nostalgic connection to that one time when the kids loved and learned and we felt accomplished. This sense of accomplishment is something we can achieve often, but only if we change — often. The argument is frequently made that teachers must reflect because students and their needs change, and that argument has great merit. But we must also reflect as we change, as we grow, and most of all as we become comfortable.

Confucius once said, “The superior man thinks always of virtue; the common man thinks of comfort.” Be not the common teacher. Find no comfort in old lectures, old worksheets, old activities. If they once worked, great! Now look to the future and how you can incorporate those ideas into new learning experiences. Fear not recreating what has already been created. If someone hadn’t decided to recreate the wheel, we’d be driving cars on wooden circles.

And so I urge all teachers to stop for a moment and consider the wheel. It has come a long way — and so has teaching — but not because of comfortable people. Be superior. Think of virtue, of quality. Push Delete, and begin recreating your wheel.

Are We Alone? Have We Always Been? How Do We Know?

ST. LOUIS — It’s the loneliest question in the cosmos: Are we, creative and intelligent and flawed as we are, really all there is? Are we alone, and have we always been? Is there anybody else out there?

Leave it to the people of DARPA to think not only of answers, but of completely new ways to ask this question.

We might not be alone at all, but we probably won’t find out by doing what we’ve been doing for the past few decades, said Lucianne Walkowicz, an astronomer at the Adler Planetarium in Chicago who works on the Kepler Space Telescope. Walkowicz spoke on a panel Friday on the last day of Wait, What? — a future technology forum sponsored by the Defense Advanced Research Projects Agency, the Pentagon’s blue-sky wing.

“We haven’t really looked,” she said. “Astrobiology is a wonderful hot new thing in astronomy, but to say that you’re looking for intelligent life in the universe is still actually a pretty fringe-y thing to do. We have this image that we’ve been listening for radio signals, that we’ve been searching for life in the universe, but actually we’ve been resource poor in that area.”

We assume that other intelligent civilizations would broadcast radio signals like we do, she said — but we’ve been radio-loud for a short time, and we’re actually getting quieter as our technology improves. And it’s more complex than that anyway. We assume other intelligent civilizations would want to talk to us at all, or that they would even know to look. But what if other planets play host to hyper-intelligent space dolphins, who, in an attempt to evade dangerous stellar radiation, never left the sheltering waters of their world? They wouldn’t even know there were other stars, Walkowicz said. Our interest in whether life is out there stems from our ability to see the stars, and recognize that we are a planet orbiting just one of them.

“There is a lot of leeway to understand what kinds of life may be out there, and what other biosignatures might we be looking for,” she said. “Pressing that frontier forward, understanding what other signatures might be out there, is something we could potentially do experimentally.”

Lucianne Walkowicz, left, describes new ways we might want to look for aliens at a DARPA future technology forum in St. Louis Sept. 11. Rebecca Boyle

Jeff Gore, a physicist at MIT, and Mark Norell, a paleontologist at the American Museum of Natural History, joined Walkowicz in chatting about the Fermi paradox, the Great Filter, and other cosmic condundrums. The Great Filter is the concept that something, which we can’t understand yet, may prevent life from expanding into the universe; the Fermi paradox is the contradiction between the apparently great likelihood of finding alien life and the fact that we haven’t.

It may be that we’re not listening properly, as Walkowicz said. Or it may be that everyone else is just too far away, Gore suggested.

“Maybe it’s just not practical to get to neighboring planets,” he said.

Closer to home, many scientists think if life still exists elsewhere in our solar system, or if it ever did, there’s a very good chance it was on Mars. So how should we treat the fourth planet? If it’s barren, we might feel less hesitation to terraform or colonize it, Gore said. But Walkowicz said it should be protected if for no other reason than to help us understand life’s possible origins.

“The way we should default to thinking about Mars is thinking about it as a nature preserve,” she said. “It is our most reachable target for understanding the possible independent origin of life, or the independent evolution of life. …If we were to go to Mars and terraform it, we lose the ability to answer the question of whether there is an independent origin of life.”

“The way we should default to thinking about Mars is as a nature preserve.”

Although nobody has found life elsewhere yet, there’s not necessarily reason to despair, said Norell. Mass extinctions have wiped out vast majorities of species in our planet’s 5-billion-year history, yet here we are.

“The one thing replicating DNA seems to have in common on this planet is it is very resilient. The rebound has been fast,” he said, adding that this resilience may be true for alien worlds, too. “You would be pretty hard-pressed to go to a place on another planet and only find fossil life, and find everting on the entire planet totally exterminated.”

Why talk about all these things at the Defense Department’s research wing? Moderator Geoff Ling of DARPA said thinking about distant civilizations fits into the agency’s mandate: “To go and think of things that others really don’t.”

“You won’t find unless you explore,” he said. “Biology is a very rich discipline, and is a place where, I would argue, surprise is waiting for us. If somebody is going to do it, let it be DARPA.”

Learn How It Works With Javafx With Examples?

Introduction to JavaFX FXML

JavaFX  FXML is defined as a GUI format with XML-based language launched by Oracle Corporation that enables to compose of the GUIs’ layout or the application of GUIs. The Primary purpose of FXML is to define a user interface. Placing XML mark-up here is to describe a component of UI in the hierarchy structure. A controller takes managing interactions by defining components and link them with them. FXML file has an extension .fxml and it is loaded by FXML Loader by JavaFX,

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JavaFX FXML is created as below

How does JavaFX FXML work?

JavaFX is used to create the Desktop Application, which allows to code the User-interface by making the application easier. In FXML XML elements are a class, script, property, static. A typical JavaFX FXML works like below:

FXML document has a user interface of an FXML application.

FXML Controller handles all the event handling process.

Next, FXML Loader parses the given FXML document and creates a graph. Simultaneously the Main Class initiates the execution of a Program.

For example, when a user accessing a website, he/she checks with the updated information of their needs; therefore, we need to recompile a code. In such a case FXML controller plays a role.

In this article, I have used NetBeans IDE, which supports JavaFX. This IDE typically provides a visual Layout for designing a UI. Deploying the first JavaFx application is needed. To take up the process:

Java file: This takes up a java code for an application (Main Application)

.fxml file: Here FXML source file is created to define a user interface part.

Below is the NetBeans IDE screenshots that support JavaFX. Here we could see three application files in the name JAVAFXApplication1

The following image shows the application that executes with the button event handlers. FXML specifies two event handlers, namely script and Controller event handlers. FXML Layout file could be created for more parts; this keeps the controller and views independently. And the scene Builder doesn’t need XML directly to work with. The stage is the main container, and the Scene is the UI elements here.

Adding Scripts

mainButton.setText(“press me!”); }

Vbox here is a component that makes a form in a vertical order (child elements). We can insert text, labels, and buttons to create a form Layout. Namespaces are added to the root element.

FXML containing stackPane

Using Border Panel

<HBox prefHeight="110.0" prefWidth="210.0"

 Adding Component inside FXML file

public class load extends VBox implements Initializable { @FXML private void handleAction(ActionEvent eve) { } @Override public void initialize(URL u, ResourceBundle re) { } }

FXML annotation is given as

public class layout @FXML private TextField txt; @FXML private Button btn; @FXML private VBox dataContainer; @FXML private TableView tab; Examples

In this section, we will show you how to use chúng tôi in Net Beans IDE.

The respective Java class is given as

package fxmlsample; import javafx.application.Application; import javafx.fxml.FXMLLoader; import javafx.scene.Parent; import javafx.scene.Scene; import javafx.stage.Stage; public class FXMLsample extends Application { @Override public void start(Stage st) throws Exception { Parent root = FXMLLoader.load(getClass().getResource("FXMLdoc.fxml")); Scene sc = new Scene(root, 200, 215); st.setTitle("FXML Welcome"); st.setScene(sc);; } public static void main(String[] args) { launch(args); } }


<Text text="Welcome Page" GridPane.columnIndex="0" GridPane.rowIndex="0" <GridPane fx:controller="FXMLdoc.FXML_ctrl"

Next is the controller class with the response to the FXML file for the UI application

package FXMLsample; import javafx.event.ActionEvent; import javafx.fxml.FXML; import javafx.scene.text.Text; import javafx.scene.control.Label; public class FXML_ctrl { @FXML private Text actiontarget; @FXML protected void handleSubmitButtonAction(ActionEvent event) { actiontarget.setText("Submit the button"); } }


The above code section shows to run an FXML application by loading a loader. Similarly, we could see how the components get to each other.



They have a large set of built-in GUI components like checkboxes; buttons also come with a built-in charts library to create charts.

JavaFX FXML is an XML mark-up language and has a rich set of APIs. It’s a powerful tool and keeps the code easier. Used to develop rich Internet applications using java Files.

JavaFX has CSS styling and gives a declarative layout through FXML.

FXML uses namespaces with the prefix ‘fx’ in which all elements and attributes are assigned. Also, well simple to debug and modify.


This is all about JavaFX FXML. In this article, we had discussed their definition and how it works with JavaFX, along with the examples. Generally, the basics of JavaFX demonstration would not work wells. To build a larger application, we need a system FXML. Therefore, we have explained how it could be used in the development of JavaFX implementation.

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This is a guide to JavaFX FXML. Here we discuss the definition and how it works with JavaFX, along with the examples and features. You may also have a look at the following articles to learn more –

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