Credit: Pexel

Today we are more dependent than ever on technology. It is in how we communicate, in the way we live and currently even in the infrastructure of our homes. As part of this transformation, it is increasingly necessary for talent to dedicate themselves to programming, the language that governs technological and digital ecosystems.

However, dedicating yourself to programming is not necessarily a straight path. As it happens with the job of interpreting, the programmer must know different languages that will help him to register and execute the commands of his creations.

Language? Yes. In programming, there are different types of languages: they are sign systems that allow interaction between humans and computers. Although most of the languages are versatile and serve to achieve almost any objective, today we present you a list of the most common ones and their main use case.


Credit: Pexel


The first of the programming languages that we will meet in this list was born in 1991. Although today it is the first reference in programming, it took some time for it to gain public attention.

Currently it stands out among the majority for its versatility and its ability to learn, becoming a must have for programmers who want to work in Machine Learning and Data Science.

Not only is it easy to use and it focuses on making it easy to read. It also allows you to assemble all kinds of applications and web pages. It is also an incredible ally for projects that involve a lot of data analysis.


When it comes to versatility, Java is the star of the party. For many years, it captured the attention of programmers around the world, due to its “object” oriented approach. An approach that also allows it to work without conflicts on any hardware.

During its heyday, it was the standard language for the development of all kinds of smart machinery, such as points of sale, ATMs, smart coffee machines, and even web pages.



Those of you from the 90s generation will surely remember the hundreds of free games that many websites used to publish in the early 2000s. These games were mostly created with JavaScript.

This language is used, above all, for web development and interaction between the program and its user. It is usually behind the operation of buttons, online games, animations, and even digital forms.

In addition to being a language that is widely used, it is very versatile and easy to learn xxx porno, making it ideal for beginners.


Are you interested in the world of apps? You may have to start by learning this language. After all, it is this one that will allow you to publish on the Apple App Store.

It was created precisely by this company, as a hallmark for its applications. It is very similar to its ancestor, the “Objective-C” language, highlighting clarity among its main characteristics.



The last language on this list was born between 1969 and 1972, thanks to Dennis Ritchie at Bell Laboratories. His idea was to create an evolution of the B language, which would allow it to do more in the implementation of various operating systems.

Over time, and thanks to the versatility of this language, other languages have emerged that are derived from C: C/C++, C# and Objective.

Now that you know the most popular languages, which one would you like to start learning?



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How the Netron Data Migration Framework Turns Legacy into Relational

1. ANALYSIS: An incremental approach to reduce complexity and risk

Working with a cross-functional team of your data modelers, application developers, and business analysts, Netron consultants conduct JAD sessions to accurately identify the source-to-target data relationships that need to be migrated. Netron’s approach organizes the project into manageable portions, focusing on 10 to 20 tables at a time relating to a specific business function—greatly reducing complications and helping you to better manage your project scope. Source and target data structures are mapped and data transformation rules are captured using state transition diagrams. Information in these diagrams provides the specs that are fed into our unique Netron Data Migration Framework to produce the extract, transform, and load programs required to migrate your data.

2. CONSTRUCTION: Rapid development of data migration programs

Netron’s consultants use our proven Netron Data Migration Framework consisting of data components, templates, wizards, and tools that let us quickly develop data migration programs for moving your data from the source database to the target model. The productivity benefits of our framework will prove to be a critical success factor in your data migration. Not only does the Netron Data Migration Framework build data migration programs that correspond to the analysis just completed, the framework, in conjunction with our methodology, makes it easy to do data scrubbing or to correct analysis mistakes. Once unaccounted conditions are identified, it’s just a matter of updating the diagrams, making minor adjustments to the framework, and regenerating the programs.

3. EXECUTION: Turning legacy into relational

The generated migration programs now navigate the input data sets, performing the necessary fan-in, fan-out, data scrubbing and validation operations to produce an ouput file ready for loading into the target RDBMS. Along the way, a complete set of audit logs and error reports is produced automatically, ready for the validation steps, and highlighting any need for a further iteration.

4. VALIDATION & TESTING: Ensuring a complete and accurate migration process

With millions of records spanning the entire source database, Netron consultants take special care with the testing and validation phase of your data migration effort to ensure the programs accurately and completely transfer the data. Tasks include unit testing, examining log and audit files, data scrubbing, system testing, spot checking, and cross validation of the source and targeted databases xnxx.

5. ITERATIVE REFINEMENT: The key to successful data migration

Second and third iterations are a fact of data migration life—nobody gets it right the first time because complex legacy data is difficult to successfully clean and migrate on the first try. Here’s the twofold Netron Frameworks advantage: The programs we create using the Netron Data Migration Framework have built-in exception handling. And they’re designed with rapid iteration in mind. That means any problems associated with the applications are immediately documented into log and audit reports including hidden data exception and data scrubbing requirements, many of which are unknown at the start of the data migration project, as well as invalid assumptions made at the requirements gathering phase. Then the transition rules can be quickly updated and validated, and the programs regenerated and re-executed. Each iteration helps make the subsequent iteration more robust and complete than the previous one until no exceptions are found.

A services-based solution that offers:

• Incremental conversion to reduce project risk
• Business process driven JAD analysis to reduce complexity
• State transition methodology to define data transformation
• Iterative refinement for better data scrubbing
• Rigorous validation and testing
• Flexible data migration framework for rapid program development/migration
• Rules-based program generation
• Innovative analysis tools for finding business rules
• Intuitive development tools for generating better programs faster using new data

Preferred Source and Target Platforms

Source: Netron Data Migration Process can migrate data from MVS (CICS, IMS/DB and batch environments), OS/400, OS/2, Wang VS, and OpenVMS.

Target: Most Unix and all Windows server platforms. If we haven’t mentioned your platform, please contact Netron — our approach’s adaptability means that it can probably be customized to support your needs.

Supported Source and Target Databases

Source: For legacy data, any database that has Cobol access including IMS, VSAM, sequential files, DB2, and Oracle as well as proprietary legacy databases (e.g., Wang DMS or ) that are no longer fully supported by their vendors.

Target: any RDBMS that can load data from text files, or that is supported by ODBC.