#horizontal stacking development framework

[status200us]

Best 3 Backend Programming Languages- Helpful Information for Developers

The backend programming language or framework is the one that connects and communicates with the Front end via an API. An application programming interface (API) acts as a channel to transmit data bi-directionally between the app’s frontend and backend.

A frontend is comprised of a combination of static and dynamic pages. Let’s slightly touch on what both types of pages actually mean.

Static page:

 A page whose content doesn’t get populated by the backend is called a static page. It houses content such as text, images, and videos. For example, About us, Terms of Service, and Privacy Policy pages of a particular website.

Dynamic page:

 A page whose content gets updated based on the response that it receives from the backend. It also houses similar content as of a static page but again, all of its data comes from the server. It may also contain input controls too.

In the backend, we have server-side scripts in conjunction with DBMS (Database Management System) to house an app’s complete business logic, API layer(s) contains business data and may also include an admin panel.

Speaking of Databases, there are numerous database vendors in the market, for example:

· Oracle SQL

· Postgres SQL

· MySQL

· SQL Server

· SQLite

After glancing out the overall web architecture, let’s discuss the top 3 backend programming languages that are very famous in devs’ communities.

Django

Node.js

ASP.NET | Open-source web framework for .NET

1. Django Backend Programming Framework

Django is the most common Python Web framework that favors fast yet scalable development. Additionally, Python operates on any platform and is also open source. As it comprises a set of modules, it offers a standard way to generate websites fast and effortlessly. Thus, Django’s main objective is to ease the designing of complicated database-driven websites.

Django contains all of the crucial features that one needs to build any sort of a web application. This framework is bundled with Django-Admin, which further facilitates the quick rollout of any given app. Some of its USPs include,

· Simple to use

· Runs on Python

· More interactive

· Time effective

· Features enriched.

· Appropriate for every web development project

· Requires shorter code & little effort

· Covers most tasks and problems

· Supports object-oriented programming

· Powers tool packages (AI, Machine learning)

· Controls REST Framework for Building APIs

2. ASP.NET | Open-source web framework for .NET Backend Programming Framework

ASP.NET | Open-source web framework for .NET is also a programming language for generating dynamic web applications. Moreover, it supports various languages, such as C#, VB.NET Shop, JAVA the Script, etc. Though, the programming logic and content generated distinctly in Microsoft ASP.NET | Open-source web framework for. NET. Also, an ASP.NET | Open-source web framework for .NET page goes through a specific lifecycle. It is completed before the response is directed to the user. Moreover, there are a series of phases that can be monitored for the processing of an ASP.NET | Open-source web framework for .NET page.

a) Page Request: While the page is requested, the server monitors if it is demanded for the 1st time. If so, at that time it requires to compile the page. Also, it analyzes the response and directs it to the user. However, the cache is inspected if the page output occurs.

b) Page Start: At this stage, the response object is used to hold the data, which is directed back to the user.

c) Initialization: Though, at this phase, all the controls on a page are initialized.

d) Page Loading: This is when the web page is truly loaded with all the default principles.

e) Validation: The validation set detects the errors or bugs in page loading.

f) Postback Event Handling: This event is activated if the same web page is being loaded again.

g) Page Rendering: This phase involves the protection of whole data on the form. And the user received the output as a whole web page.

h) Unloading Process: There is no need to keep the ASP.NET | Open-source web framework for .NET webform object in the memory after sending the output to the user. Consequently, the unloading procedure includes eliminating all undesirable stuff from memory.

3. Node.js Backend Programming Framework

Unlike Python, Node.js is a runtime driven language which runs on a V8 engine. It brings event-driven development to the web servers. And just like python, its open source. Additionally, developers may generate scalable servers without applying to thread. They use a straightforward model of event-driven programming that activates callbacks to signal the accomplishment of a task/event. Nonetheless, Node.js links the simplicity of a scripting language (JS) with the command of UNIX network programming. Bundled with MEAN stack, the Node.js backend programming framework has the following remarkable features.

· Scalability (Vertical & horizontal)

· Improved performance.

· Short response time

· Fast implementation

· Advisable backend development option

· Directly compiles the code into machine code

· Supports the non-blocking Input/output operations

Contact us at Status200

We are Status 200, a full-stack development, and marketing company that focuses solely on the client’s satisfaction. You will explore all the information regarding the best backend programming languages at our site. Our expert team of developers is always available for an assist. Feel welcome to reach out to us for Web and Mobile development services. We are looking forward to hearing from you.

[vmzincforarchitecture]

Prize-winners in the 8th edition of the ARCHIZINC TROPHY by VMZINC

The second special mention prize in the Collective Housing Category: 28 Elsdale Street in London (UK)) by GPAD London

A COSMOPOLITAN LOOK

In an increasingly vibrant area of London, a corrugated zinc skin unambiguously identifies the vertical extension of a 1920s building.

Hackney, a long-neglected borough in the east of Greater London, became a trendy destination in the city with the 2012 Olympics. The municipality of Hackney forecasts that its population will reach 260,000 by 2025, compared to 220,000 in 2008. This growth is being coordinated by a local development framework, intended to retain the diverse nature of the locality.

The Elsdale Street project applied a densification strategy defined by the local authorities. It focused on the vertical extension of an Art Deco building constructed in the inter-war period on a plot bordered by two streets: a lane and a busier street. The architects at GPAD placed two new floors accommodating eight apartments on top of this two-storey building. The project forms a mixed-use building retaining the medical practice originally housed in the building.

With its vertical extension, the building looks a little like the Flat Iron Building, appearing no longer as a suburban dwelling but claiming its place in the big city. The connection between the lane and the street is strengthened by the use of ANTHRA-ZINC® corrugated cladding, installed horizontally on the curved sections of the building. The corrugated lines prolong the horizontal joints of the brickwork.

This stacking of layers is enhanced with a play on the depth of the volume: balconies, loggias and vertical circulation in the staircase are covered in yellow, and remain visible through the corrugated zinc, which is perforated in places.

Jury's assessment: A vertical extension fluctuating between difference and continuity to create a unique new building.

[jbaquerot]

6 Popular Big Data Technologies that You Must Know

Do you know what could be the key differentiator between a market leader and a has-been leader?

Do you know what could be the key differentiator between a market leader and a has-been leader? It is “data management” and any organization that cannot handle the influx of data and put it into good use is likely to give way to wiser companies that know how to make their data work. They are constantly on the quest for finding new strategies to make innovative use of Big Data. In fact, the power of Big data and mobility can truly elevate businesses to new levels. Hence, Big Data is the term given to huge amounts of data. As the data comes in from a variety of sources, it could be too diverse and too massive for conventional technologies to handle. This makes it very crucial to have the skills and infrastructure to handle it intelligently. This data must be analyzed computationally to reveal patterns and trends, thereby aiding in marketing and promotional campaigns. Here are a few examples of organizations that make use of Big Data: · Government organizations track social media insights to capture the onset or outbreak of a new disease. · Oil and gas companies integrate their drilling equipment with sensors to ensure safe and more productive drilling. · Retailers track web clicks to help identify the various behavioral trends to improve their ad campaigns. Now, let’s look at some of the trendy big data technologies that you can use to promote your business:

1. Apache Spark

With its built-in modules for streaming, machine learning, graph processing and SQL support, Apache Spark certainly deserves a mention as the fastest and general engine for big data processing. It supports all important Big Data languages including Python, Java, R and Scala. It complements the main intention why Hadoop was initially introduced. The main concern with data processing is speed, so you need something to diminish the waiting time between queries and the time it takes to run the program. Even though Spark was introduced to speed up the computational computing software process of Hadoop, it is not an extension of the latter. In fact, Spark uses Hadoop for two main purposes only — storage and processing. Use case: Apache Spark is a major boon to companies aiming to track fraudulent transactions in real time, for example, financial institutions, e-commerce industry and healthcare. Suppose a credit card was swiped for a huge amount, say, Rs. 50,000 whilst your wallet was lost and it wasn’t you who swiped, it is possible to detect where and when the fraud took place.

2. Apache Flink

If you have heard of Apache Spark and Apache Hadoop, then you will have heard about Apache Flink as well. Flink is a community driven open source framework, founded by Professor Volker Markl — Technische University, Germany. Flink meaning “swift” in German is high performing and extremely accurate data streaming. The capabilities of Flink is inspired by MPP database technology (for functioning like Declaratives, Query Optimizer, Parallel in-memory, out-of-core algorithms) and Hadoop MapReduce technology for functions like Massive scale out, User Defined functions, Schema on Read).

3. NiFi

NiFi is a powerful and scalable tool to possess, thanks to its capacity to store and process data from a variety of sources with minimal coding and a comfortable UI. And that’s not all. It can easily automate the data flow between different systems. If NiFi doesn’t contain any sources that you require, then the straightforward Java code lets you write your own Processor. The specialization of NiFi is data extraction and is a highly useful solution for filtering data. As NiFi is an NSA project, the security for this tool is commendable.

4. Kafka

Kafka is a must because it is a great glue between various systems right from Spark, NiFi to third party tools. And streams of data can be handled efficiently and in real time. Kafka is open source, horizontally scalable, is fault tolerant, extremely fast and a safe option. Being a distributed system, Kafka stores the messages (simple byte arrays and developers store any object in any format) in topics, and the topics themselves are partitioned and replicated across different nodes. When Kafka was first introduced, it was a distributed messaging system built initially at LinkedIn, but now is part of the Apache Software Foundation and is used continuously by thousands of companies. Use case: Pinterest uses Apache Kafka. The company built a platform called Secor using Kafka, Storm and Hadoop for real-time data analytics to ingest data into MemSQL.

5. Apache Samza

The main purpose of the conception of Apache Samza is to extend the capabilities of Kafka and is integrated with the feature alike Fault Tolerant, Durable messaging, Simple API, Managed State, Extensible, Processor Isolation and Scalable. It uses Apache Hadoop YARN for fault tolerance and Kafka for messaging. Thus, you can say it is a distributed stream processing framework. And it comes with a pluggable API to run Samza with other messaging systems.

6. Cloud Dataflow

Cloud Dataflow is a native Google cloud data processing service integrated with simple programming model for both batch based and streaming data processing tasks. With this tool, you no longer have to worry about operational tasks including performance optimization and resource management. Through its fully managed service, it is possible to dynamically provision the resources to maintain high utilization efficiency while minimizing latency. And you no longer have to worry about programming model switching cost through its unified programming model method. This method aids in batch and continuous stream processing, making it easy to express computational requirements without worrying about data source. Conclusion The big data ecosystem is constantly evolving and new technologies come into existence very frequently, many of them evolving further and further beyond the Hadoop-Spark stacks. These tools can be utilized to ensure seamless work with security and management, sans any hiccups. Data engineers require these tools to pull, clean and set patterns for data to help data scientists explore and examine them thoroughly, and build models.

[procurement-insights]

Horizontal Stacking Versus Intelligent Vertical Integration

When it comes to ProcureTech development what is the difference between "Horizontal Stacking" and "Intelligent Vertical" integration solutions?

“I am dividing the frontend functional solutions from the AI operating system providers – the two categories of solution providers emerging after the 2025 shake-up.” – Procurement Insights An Example of A Frontend Functional Solution Provider Last month, I posted the article Globality Demo > The Road to the ProcureTech Cup: Episode 25-06, where I provided a fair assessment. Here is the link to…

Horizontal Stacking Versus Intelligent Vertical Integration