(LSJ) What is back-end development?

What is back-end development?

Back-end development is a mix of hardware and software, which realize the logic of the site.This is something that is hidden from the user's eyes and occurs outside of his browser and computer.

When our Cloud Ready Teams are working with back-end, there is a range of programming languages we can use, for example Ruby, PHP, Python, Java.

Thanks to back-end, we have an opportunity to create and integrate databases, provide security, create backup and recovery technologies.

Contact our Sales to learn more.

Q: How does the front end app in your mobile phone and the application back end interact?

A: It can be described as a circle: the front end application user form sends user’s data request to the back end, where it is processed and returned back as an answer in a clear form.


There are several options for technical solutions for the interaction of the front end and back end:

  • The HTTP request is sent directly to the server, the server makes a search for information, embeds it into the template and returns it as an HTML page;

  • using AJAX (Asynchronous JavaScript and XML) messaging.

    In this case, the request is sent by the JavaScript loaded into the browser, and the response comes in XML or JSON format;Single-page applications that load data without refreshing the page. This can also done using AJAX or Angular and Ember frameworks;

  • Ember or React library helps to use the application both on the server and in the client’s side. Front-end and back-end interact via AJAX and HTML code, which is processed on the server.

As we can see, modern development is a complex and multi-level process, which is divided into two parts: client and server.


In the arsenal of frontend and backend programmers there are a lot of tools which are chosen according to the tasks and complexity of the project.

Both types of development include technical and creative components.

For developing back-end our company has a wide range of technologies: Ruby, .NET, Java, PHP, Node JS, Go, C++, C#, Flutter, React.JS.

With Lifetime Group’s Continuous Development Service you as the customer make sure that your application responds to any interaction correctly all the time, and all the updates and security fixes are done when needed.

(LSJ) Lifetime joins Digital Trust Finland Program

Creating Business advantage from digital trust and secure managed sourcing

What is Digital Trust Finland Program?

The Digital Trust Finland program helps Finnish companies build business on digital trust and safety, attracts investments and facilitates ecosystems in Finland.

Read the Digital Trust Program Press Release here.

Lifetime Group hop on Board of Digital Trust Program

CEO of Lifetime Group, Risto Anton sees the possibilities of the Business Finland Program as a great opportunity for our secure managed sourcing business and cloud ready teams;

Lifetime Group on mukana tekemässä turvallisuuteen liittyviä hankkeita mm. Smart Business, Blockchain, hybrid cloud, Secure Managed Sourcing alueilla. Business Finlandin avaus on hieno mahdollisuus verkostoitua johtavien yritysten kanssa, rakentaa digitaalisia ratkaisuja Next-Level kohteena niin Suomi kuin laajemmin World-wide ratkaisut”.

Transformation next steps for Lifetime Group and our Customers

Partnership As A Service

Case Wärtsilä SPARK Innovation Hub : Idea submission.

Lifetime Group has created unique Secure Managed Sourcing business model for corporations who wish to win in the ecosystem race. Our new Cloud Ready Teams initiative combine 50 IT related roles, 16 team categories, and 16 carefully chosen suppliers Worldwide to bring more hands on the SPARKs deck. 

Our 250+ specialists are all available for SPARK projects at Lifetime Digital Workspace. This will greatly add people resources and scalability of your workforce. 

Lifetime Group is member of Business Finland Digital Trust Program 2019-2024.

Lifetime Group is building blockchain based solution CIMS Crypto Investment Management System which helps Entrepreneurs get fundraising and allow incentives through micropayments business model.

Building a Smart ecosystem is just a beginning. Winning in the ecosystem race is the goal that needs to be addressed every day. 

With our Cloud Ready Teams involved all your ideas can be brought up to market faster.

 

Thank you of being a lifetime friends,

Risto Anton Päärni

CEO
PS. I would be honored if you want to read white paper about this (fresh build) business concept.

Lifetime Group

+358 400 319 010

risto.anton@lifetime.fi

Partnership As A Service. We can help creating a winning ecosystems.

digital trust areas include

  • Data Analytics

  • Scenario Based

  • New Business Model NPV

  • Operational Business Model LTV

  • Smart Ecosystem Partnership

  • Customer Experience Management FAST

  • IoT

  • Blockchain

  • Robotic Process Automation RPA

  • TA Test Automation

  • Transformation As A Service

  • Agile

  • Secure

  • Digital Trust

  • IA Intelligent Automation

  • AI Artificial Intelligence

(LSJ) What is Data Science Platform?

When building teams

Market Definition/Description

Data Science Platform definition

A cohesive software application that offers a mixture of basic building blocks essential for creating all kinds of data science solution, and for incorporating those solutions into business processes, surrounding infrastructure and products.

Artificial intelligence (AI) is hyped:

Hype about AI is at its peak, but AI must be distinguished from data science and ML. Of course, data science is the core discipline for the development of AI, and ML is a core development of AI, but this is not the whole story. ML is about creating and training models; AI is about using those models to infer conclusions under certain conditions. AI is on a different level of aggregation to data science and ML. AI is at the application level.

Data Science and ML models must be combined to work together with other capabilities, such as a UI and workflow management, to constitute an AI Application.

The Report finds variety of audiences to data science and ML platforms (modified):

  • Citizen data scientists who are accessing (open) data and building data science and ML models. They come from roles such as business analyst, line of business (LOB) analyst, data engineer, and application developer.

  • LOB data science teams who address initiatives in areas such as digital marketing, risk management, Customer Engagement Management.

  • Corporate data science teams who have strong executive sponsorship, and can take a cross-functional approach. They do model building and end-to-end process for building and deploying data science and ML models.

  • Star (Mavericks) Data Scientists. The Python, R, Apache Spark Gurus.

(Gartner Report Magic Quadrant for Data Science and Machine Learning Platforms, published 28 January 2019 ; by Analysts Carlie Idoine, Peter Krensky, Erick Bretheneoux, Alexander Linden).

(LSJ) Lifetime Classification of Consultants

IDC asked me for salary study our classification of Consultants and their payment expectations for 2019. Here is our Classification of Consultants for Secure Managed Sourcing.

1. Consultants (skills level 2,3,4)

Installation & administration of hardware, operating systems, Microsoft office 365 / G Suite software Administration, implementing security solutions on desktop, servers and LAN. Support of hardware, operating systems and office-software, troubleshooting and repair. Any new consultant is in this category before clearing Cloud Ready Teams Certification Program. Quality Assurance.

2. Developers (skills level 2,3,4)

1-3 years of experience

3-5 years of experience

5+ years of experience

of Coding,  test automation,  Applications Production, DevOps. 10 Programming languages.

3. Technical Project Managers

Thorough competence within a specific area. For instance JIRA, SAFe, cloud computing, networking, security, Linux. The specified person has a long experience and thorough technical understanding – but not a broader approach toward the solutions. System integrator specialists (Mulesoft, Openshift), system designers within a specific solution. Technical Project managers.

4. Cloud solutions architects

Cloud Solutions Architects cover a broader area, for instance combining server, network and application knowledge to design the overall infrastructure. Capable of creating requirement specifications based on for instance workflow descriptions etc. Senior project managers, large projects.

5. Senior consultants

Combining technical and smart business comprehension (not management consultants). Competence in organizational analysis combined with a technical understanding – the business part of cloud solutions architects. IT estimation, risk estimation, business continuity analysis – from a business and an IT perspectives.

6. Strategic Advisors

Management consulting. Advisor level. Strategy formation. Cloud Strategies. Please contact us.

(LSJ) Creativity Revolution happens now

Creativity Revolution is now. Automation is taking Business Decisions over. Listen Ming Zeng, Chief Strategy Officer, AliBaba, advices to young people and the AliBaBa success making it easy for everyone to do business in the New World.


Lifetime now accepting new customers.


https://audioboom.com/posts/7003262-647-how-alibaba-is-leading-digital-innovation-in-china


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