Nathan Agarwal

1617681661

Standard vs Express AWS Step Functions - Whats The Difference?

Standard Step Functions offer an effective means to create distributed workflows on the AWS ecosystem. These types of workflows are usually long running and offer exactly once processing, best suitable for non-idempotent tasks. Express functions are a newer offering that allow developers to create short duration workflows that operate at higher throughput. In this video, I discuss the difference between Standard and Express AWS Step Functions including their distinct features, use cases, and functionality.

00:38​ What are AWS Standard Step Functions?
05:53​ Example Use Case for Standard Step Functions
06:50​ What are AWS Express Step Functions?
10:43​ Example Use Cases for Express Step Functions

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#aws

What is GEEK

Buddha Community

Standard vs Express AWS Step Functions - Whats The Difference?
Vincent Lab

Vincent Lab

1605017502

The Difference Between Regular Functions and Arrow Functions in JavaScript

Other then the syntactical differences. The main difference is the way the this keyword behaves? In an arrow function, the this keyword remains the same throughout the life-cycle of the function and is always bound to the value of this in the closest non-arrow parent function. Arrow functions can never be constructor functions so they can never be invoked with the new keyword. And they can never have duplicate named parameters like a regular function not using strict mode.

Here are a few code examples to show you some of the differences
this.name = "Bob";

const person = {
name: “Jon”,

<span style="color: #008000">// Regular function</span>
func1: <span style="color: #0000ff">function</span> () {
    console.log(<span style="color: #0000ff">this</span>);
},

<span style="color: #008000">// Arrow function</span>
func2: () =&gt; {
    console.log(<span style="color: #0000ff">this</span>);
}

}

person.func1(); // Call the Regular function
// Output: {name:“Jon”, func1:[Function: func1], func2:[Function: func2]}

person.func2(); // Call the Arrow function
// Output: {name:“Bob”}

The new keyword with an arrow function
const person = (name) => console.log("Your name is " + name);
const bob = new person("Bob");
// Uncaught TypeError: person is not a constructor

If you want to see a visual presentation on the differences, then you can see the video below:

#arrow functions #javascript #regular functions #arrow functions vs normal functions #difference between functions and arrow functions

Madyson  Reilly

Madyson Reilly

1601069940

Function Expression vs Function Declaration in JavaScript

Function Expression vs Function Declaration in JavaScript.

It was until during one of the JavaScript mock interviews did I came across the term function expression.

The question was: What is the difference between these two syntax?

function x(){

}

let x = function(){

}

I was clueless for a moment. After thinking a little, I could only come up with: the second syntax invokes an _anonymous _function and is assigned to a variable.

I was alien to the term hoisting.

In this article, we will acquaint ourselves with three simple terms: function declaration,_ function expression, _and hoisting.

What is function declaration?

Function declaration is also known as _function statement. _It contains the name of the function, parameters, and a return statement. **Naming the function **is what sets function declaration apart. Parameters and return statement is optional.

Image for post

Function Declaration

What is function expression?

Function expression also has a name, parameters, and return statement. All of which are optional. The important thing to bear in mind is: the function here is _assigned _to a JavaScript variable.

Image for post

Function Expression

#function-expression #function-declaration #functions-in-javascript #coding #javascript #express

Rory  West

Rory West

1619214480

ETL Orchestration on AWS with AWS Step Functions

In the latest years, the engineering, governance, and analysis of data has become a very common talking point.

The need for data-driven decision-making, in fact, has grown the need of collecting and analyzing data in many ways and AWS has shown a particular interest in this field developing multiple tools for achieving these business goals.

Before being able to allow the figure of the data analyst to explore and visualize the data, a crucial step is needed. This procedure is commonly identified as ETL (extract, transform, and load) and, usually, it’s far from being simple.

#aws-step-functions #aws #etl #aws-lambda

Divya Raj

1624523136

GCP Vs AWS in 2021 - A Cloud Computing Face Off

The world of data analytics and technology have been dramatically altered by cloud computing. The two companies which are known for providing tremendous cloud computing technologies are- Google Cloud Platform and Amazon Web Services.
This artcile highlights the comparison between these big companies.

https://blog.digitalogy.co/gcp-vs-aws-in-2021/

#aws #aws and gcp #aws google #aws or google cloud #aws vs gcp services #cloud application vendors

Rylan  Becker

Rylan Becker

1620513960

AWS v/s Google v/s Azure: Who will win the Cloud War?

In the midst of this pandemic, what is allowing us unprecedented flexibility in making faster technological advancements is the availability of various competent cloud computing systems. From delivering on-demand computing services for applications, processing and storage, now is the time to make the best use of public cloud providers. What’s more, with easy scalability there are no geographical restrictions either.

Machine Learning systems can be indefinitely supported by them as they are open-sourced and within reach now more than ever with increased affordability for businesses. In fact, public cloud providers are increasingly helpful in building Machine Learning models. So, the question that arises for us is – what are the possibilities for using them for deployment as well?

What do we mean by deployment?

Model building is very much like the process of designing any product. From ideation and data preparation to prototyping and testing. Deployment basically is the actionable point of the whole process, which means that we use the already trained model and make its predictions available to users or other systems in an automated, reproducible and auditable manner.

#cyber security #aws vs azure #google vs aws #google vs azure #google vs azure vs aws