How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Electronic Data Interchange (EDI) developer with JSON with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending Electronic Data Interchange (EDI) tech & tools in 2024
Electronic Data Interchange (EDI)
What is Electronic Data Interchange?
Electronic data interchange (EDI) is the electronic exchange of business documents between organisations. Business workflows often require routing and sending documents such as invoices, purchase orders and shipping forms from one organisation to another. These documents can be attached to emails or communicated over the phone or postal mail and sent to a human representative of another organisation who will process them and record the information within its enterprise data systems. EDI is a standardised technology that automates these workflows so that digital systems within an organisation can communicate with and share documents with another organisation, digitally. These systems can automatically process these documents communicated over an electronic network without human interaction. Since IBM’s Invoicing by Wire was created in 1959, many organisations have connected their IT systems to the IT systems of another organisation so that they could communicate within a B2B network to save time and eliminate formatting errors that accompany document transmission and human-processing such as copy-pasting and data entry.
What are the benefits of electronic data interchange?
EDI provides the following benefits to businesses:
Save time
Invoicing accounting checks and purchase orders going back and forth, going from one person to another: if you’re not using EDI that stuff takes forever. There is no physical requisitioning, everything is automated – you just have to push an order, and the supplier receives it and replies. With a low-code environment, you can always go in and say OK, let’s automate this file processing step that everyone does, going from this menu to this field or that field. You can do all of that more conveniently in an EDI environment.
EDI also gets rid of the delay inherent in paper-based communications. It provides the near-instant delivery and exchange of business documents. Instantaneous transmission of electronic documents will facilitate faster response times and quicker decision-making.
Reduce errors
Due to the fact that EDI’s processing is automated, errors that usually occur when you key in your data manually are eliminated. Secondly, if anomalous data occurred in the document, EDI can help point out such instances. Once the document is set at a higher level of accuracy, we can identify the error and improve the efficiency of data processing.
Increase security
It is far more feasible with EDI. Your digital certificate gives you far better control over user access and authentication. Authorization and security of access are vital with EDI. EDI accomplishes access control through a combination of authentication and encryption. (Authentication checks if an entity claiming to be others’ trading partner has the rights to use the EDI access credentials, while security checks if an electronic message is lait sels, or safe for users to open; often it is used interchangeably with encryption: read the response to examine the difference between these concepts.) EDI makes access control far easier and more foolproof than paper-first decision trees, because the electronic system is far more secure than a paper-first system.
Enhance connectivity
If you want to collaborate with business partners, users and vendors by simply transferring large data sets, such as those undergoing product tests, via cloud-native file transfer services, you’ll find that you’ll be able to enable this very seamlessly. And with regard to EDI transactions, you can easily integrate them into your business processes and enrich your present connectivity ecosystem in your company.
How does electronic data interchange work?
EDI works primarily by using two forms of transmission:
- A point-to-point or direct EDI connection connects two business systems with secure protocols
- Unlike the EDI system, the value-added network (VAN) transmits data through a third-party network.
EDI software uses a mailbox paradigm for document exchanges and batch processing, while SOAP, Secure File Transfer Protocol (SFTP), and HTTPS-based protocols such as AS2 help to securely send EDI documents over the internet. EDI communication standards, codified by organisations such as Accredited Standards Committee X12, Peppoi and ODETTE, also ensure certain basic data-governance rules and often introduce their own glossaries, nomenclatures and terminologies for the data in EDI transactions, all of which highly secure the data and ensure its quality.
EDI software can also combine two or more data segments to produce additional context for items in the document. Take the items and numbers in the order: EDI software might combine the lines ITEMQUANTITY and ITEMDESCRIPTION into the ORDERLINE container. Not only does this allow a richer context for the items and numbers (the lines of the order), but the structure is tidier than if we didn’t use the combination.
What does implementation of electronic data interchange require?
Establish infrastructure
The first step in setting up EDI requires a business to acquire and install any hardware and software components necessary to facilitate the transmission, integration, translation and pathway mapping of EDI documents. EDI software converts any business documents into the correct format to facilitate interaction with trading partners. Common EDI software components include:
Component | Description |
---|---|
EDI mapping programmes | Take fields in a file (names and addresses, say) and map them to standardised documents. |
Batch enveloping and de-enveloping software | Allowing senders and receivers to receive, wrap and unwrap transactions. |
Message routing | Carry the message through the network, to the correct recipient addresses, that the format of the message is compatible with the destination address. |
Generally, this also includes establishing and connecting to VANs, which are secure and reliable transfer conduits from one network to the next. If you want to host EDI in-house, you need to have the necessary hardware, such as network gear, storage, and servers.
Establish connections
Once you have your technological basis for your EDI system laid down, you need to onboard your particular business partners. Since you are physically processing and sending and receiving documents to and from your trading partners, you must have EDI standards implemented to enable secure communication with them.
For example, different industries, or geographies, can each favour a different EDI standard format. Once the proper trade partner standards are specified, the EDI system can be configured to send EDI documents following that same standard – now the values and context within your purchase order aren’t a big long mess for the carrier, but a clean, orderly EDI document. Contrary to what we’ve seen up to this point, EDI providers and their customers also configure VPNs, firewalls, or AS2 tunnels to ensure the transmission path is secure.
Adhere to standards
Your EDI system will need to remain in compliance with the standards required by your industry, which will include data protection regulations and standards. If your industry has standards (and most will), then every update to those standards must be met by your system. Similarly, if any trading partners change the standards they follow, whether that’s for specific customers or markets, you must be able to exchange information in the new standards that they have chosen.
What are the challenges of electronic data interchange solutions?
Implementation costs
The initial investment in implementing EDI in your business processes is significant: you need to purchase hardware, software and systems that are compliant to regulatory standards. Should you use a third-party EDI network provider, you also need to purchase services from them. Your staff must be trained on the processes, approaches, standards and software used, and you have to consider costs in this for one-off and regular training. You need to provide accessible training resources for your staff to learn.
Document mapping
Another hurdle is intelligently mapping the EDI format to deliverable and legacy documents. If you’re already using more than one system, you have to go through quite a bit of testing to ensure the integrity of your data-mapping. It can be a tedious task to manage if you don’t have the resources in-house to oversee the project.
Scaling challenges
Once you’ve deployed your EDI solution, you’ll likely need to scale your system across your logistics partners and vendors. For instance, purchase orders may contain different business rules, data elements and document fields depending on your trading partner. In order to scale your EDI system, you’ll need to adapt to varying degrees of EDI maturity among different vendors.
Ongoing monitoring
Inaccurate, incomplete or inconsistent information will pose a challenge for EDI solutions. You need to constantly monitor EDI systems and emerging security standards to mitigate risks of business disruption, data quality degradation or non-compliance. You should dedicate resources to continuous audits, security assessments and performance reviews to address potential emerging compliance issues.
Where is JSON used?
APIs: The Chatty Kathy of Software
- JSON turns APIs into gabby gossips, letting them blab data between services like they're swapping juicy stories over a digital fence.
Config Files: The Lifestyle Coaches for Apps
- In the realm of config files, JSON is the life coach, whispering sweet nothings to apps about how they should behave and strut their code.
Web Storage: The Secret Diary Keeper
- Like a digital diary, JSON helps web storage keep secrets in neat, tidy JSON objects, ready to spill the beans whenever the browser reminisces.
Server Logs: The Overly Detailed Memoir Authors
- Server logs pen their tedious life stories in JSON format, ensuring every "Dear Diary" moment is captured for the nerdy sysadmins to later enjoy.
JSON Alternatives
XML (Extensible Markup Language)
Structured data format widely used for web services, configurations, and data interchange. Verbose compared to JSON. Example: configuration files, SOAP.
<person>
<name>John</name>
<age>30</age>
<city>New York</city>
</person>
- Human-readable and self-descriptive.
- Supports namespaces and complex structures.
- Verbose, leading to larger file sizes.
- Parsing can be slow.
- Widely supported in legacy systems.
YAML (YAML Ain't Markup Language)
Human-friendly data serialization standard, often used for config files and applications that require data to be stored or transmitted. Example: CI/CD configurations, Docker compose.
person:
name: John
age: 30
city: New York
- Very human-readable.
- Allows comments, enhancing document context.
- Indentation-based, which may lead to errors.
- Can be ambiguous in complex structures.
- Supports complex data types natively.
Protocol Buffers
Language-neutral, platform-neutral serialization technique developed by Google. Used for storing and interchanging structured data. Example: gRPC, efficient data storage.
message Person {
string name = 1;
int32 age = 2;
string city = 3;
}
- Very efficient data encoding.
- Strict schema enforced, minimizing ambiguity.
- Requires pre-defined schema and generated code.
- Binary format, not human-readable.
- Excellent for large-scale systems.
Quick Facts about JSON
A Little Bit of JSON's Genesis
Once upon a byte, when the world was in deep need of a lightweight data-interchange format, JSON came to the rescue. Birthed in the cyber womb of Douglas Crockford's brain in the early 2000s, JSON, or JavaScript Object Notation, came into existence. Unlike its bulky cousin XML, JSON donned a svelte figure which made it a darling of web developers for data trafficking. Clever and unassuming, JSON wasn't officially a "thing" until 2001, but its seeds were planted in JavaScript's ECMA-262 standard—because, you know, parentage matters in the tech lineage!
JSON's Coming of Age Saga
Now, let's fast-forward to 2013. By then, JSON's been strutting around the internet for over a decade. Its gawky years are behind it and JSON finally gets the recognition it deserves! Enter the JSON standard: ECMA-404. It's like getting a certification from the big league that says, "Yeah, kid, you made it!". Now officially anointed, JSON wasn't just a convenient format, it became a textbook example—literally—in the developer’s arsenal. Major plot twist, eh?
JSON's Syntax Shenanigans
Delving into the nitty-gritty, JSON's syntax is a smorgasbord of arrays and objects, sizzling like bacon with key-value pairs. It's as easy as declaring a JavaScript object, but don't be fooled—JSON plays hard-to-get with other languages. While it wears JavaScript's jersey, it boasts of language independence, meaning it can mingle with Python, Ruby, and even PHP! Behold JSON's magic spell:
{
"wizard": "Harry Potter",
"muggle-born": true,
"wand": {
"core": "Phoenix feather",
"material": "Holly",
"length": 11
}
}
Voilà! A simple JSON object that could stir up a potion for easy data exchange. Just remember, a missing comma or an extra curly brace and your JSON turns into a Gremlin after midnight—utterly chaotic.
What is the difference between Junior, Middle, Senior and Expert JSON developer?
Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
---|---|---|---|
Junior Developer | 0-2 | 50,000 - 70,000 |
|
Middle Developer | 2-5 | 70,000 - 95,000 |
|
Senior Developer | 5-10 | 95,000 - 140,000 |
|
Expert/Team Lead | 10+ | 140,000+ |
|
Top 10 JSON Related Tech
JavaScript
Ah, the bread and butter of web development, JavaScript. It's like the swiss army knife for anyone dabbling in JSON's world. You see, JSON is JavaScript Object Notation, so it's no surprise that they go together like peanut butter and jelly. If JSON were a celebrity, JavaScript would be the paparazzi - always around and deeply interested. Handling JSON in JavaScript is a no-brainer:
var jsonData = '{"name": "Monty", "isPython": false}';
var obj = JSON.parse(jsonData);
console.log(obj.name); // Outputs: Monty
Python
Python slithers its way into JSON handling with such elegance, it makes you want to whisper sweet nothings into its interpreter. It's the gentle giant of programming languages; powerful yet so readable that it feels like pseudo-code. Python treats JSON like it's one of its own dictionaries, which is a type so fitting you'd think JSON was Python's long-lost sibling:
import json
jsonData = '{"name": "Monty", "isPython": true}'
obj = json.loads(jsonData)
print(obj['name']) # Outputs: Monty
Node.js
If JavaScript is the cool kid at school, Node.js is its older, hipster sibling who wears flannel and listens to vinyl records. Node.js takes JavaScript outside the confines of a browser and lets it roam free in the server-side world! JSON is treated with first-class citizenship in Node.js, allowing for seamless parsing and stringifying:
const jsonData = '{"name": "Monty", "isPython": false}';
const obj = JSON.parse(jsonData);
console.log(obj.name); // Outputs: Monty
Express.js
Imagine you're building a clubhouse. Now, Node.js provides the land (server-side environment), but Express.js is the one that actually gives you the tools to build it (framework for web apps). It's like the helpful hardware store guy but for HTTP servers. Handling JSON in Express is smoother than a fresh jar of Skippy, made even easier with built-in middleware:
const express = require('express');
const app = express();
app.use(express.json());
app.post('/api/data', (req, res) => {
console.log(req.body); // req.body is already a parsed JSON object
res.send('JSON received!');
});
jQuery
jQuery may seem like the grandpa of the JS library family, but it's the type of grandpa who's got secret ninja skills. It made working with JS so easy back in the day, it was like throwing a Hadouken in Street Fighter – everyone did it. Even though it's not the coolest kid on the block anymore, it still offers handy AJAX methods for JSON:
$.getJSON('/api/data', function(data) {
console.log(data); // Boom! JSON magic.
});
REST APIs
RESTful services are the gossip queens of the internet; they love to talk and share data. REST APIs and JSON are BFFs because they communicate data in a stateless, cacheable, and platform-independent manner. Curl up with a good URL, send an HTTP request, and get back that juicy JSON goodness:
fetch('https://api.someservice.com/data')
.then(response => response.json())
.then(data => console.log(data));
AJAX
AJAX is like the postal service of the web—it lets you send and receive packages (data) without refreshing the page, which is quite the party trick. Need to send some JSON back home to the server? AJAX will sneak it past the refresh police without causing a scene:
const xhr = new XMLHttpRequest();
xhr.open('POST', '/api/data', true);
xhr.setRequestHeader('Content-Type', 'application/json');
xhr.send(JSON.stringify({ name: "Monty", isPython: false }));
XMLHttpRequest
Before all these newfangled frameworks and libraries, there was XMLHttpRequest (XHR), a valiant knight in the realm of AJAX. It may be a bit long in the tooth now and look like alphabet soup, but XHR was the one you called when you needed to make raw HTTP requests to exchange data, and yes, it can handle JSON too:
var xhr = new XMLHttpRequest();
xhr.onreadystatechange = function() {
if (xhr.readyState === XMLHttpRequest.DONE) {
if (xhr.status === 200) {
console.log(JSON.parse(xhr.responseText));
}
}
};
xhr.open('GET', '/api/data', true);
xhr.send();
Fetch API
The Fetch API is the cool new kid that moved into XMLHttpRequest's neighborhood. It's like the SpaceX to NASA, sending requests with promises that make dealing with responses easier than fitting in on your first day at school. Wanna be a part of the in-crowd? Use Fetch to work with JSON:
fetch('/api/data')
.then(response => response.json())
.then(data => console.log(data));
JSON Schema
Last but not least, think of JSON Schema as the bouncer at a club—it decides what JSON gets to pass through the velvet ropes based on its shape and size. JSON Schema validates the structure of your JSON data, so you don't end up with a string when you're expecting an integer. Keeping your JSON in check never looked so professional:
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"name": {
"type": "string"
},
"isPython": {
"type": "boolean"
}
},
"required": ["name", "isPython"]
}