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8 Top Data Science Platform Developers in the World

Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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The Story behind Mainframe to Cloud Real Journey

Mainframe to CLOUD: Mainframe computing took off in the 1950s and gained much prominence throughout the 1960s. Corporations such as IBM (International Business Machines), Univac, DEC (Digital Equipment Corporation), and Control Data Corporation started developing powerful mainframe systems.
Mainframe to cloud
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These mainframe systems mainly carried out number-crunching for scientists and engineers. The main programming language used was Fortran. Then in the 1960s, the notion of database systems was conceived and corporations developed database systems based on the network and hierarchical data models. The database applications at that time were written mainly in COBOL.

Cloud Vs Mainframe

In the 1970s, corporations such as DEC created the notion of mini-computers. An example is DEC's VAX machine. These machines were much smaller than the mainframe systems. Around that time, terminals were developed. This way, programmers did not have to go to computing centers and use punch cards for their computations. They could use their terminals and submit the jobs to the computing machines.

This was a huge step forward. It was also during this time that languages such as C and operating systems such as UNIX were developed.
Cloud computing
A significant development in the late 1970s was the emergence of the personal computer. This resulted in Apple Computers. Soon after, IBM developed its own personal computers. Microsoft developed the DOS operating system for these IBM machines.

Powerful workstations were developed in the early 1980s by corporations such as Sun Microsystems, Apollo, and HP (Hewlett Packard). Database systems based on the relational data model were developed by corporations such as IBM and Oracle. By the mid-1980s, computers were poised to take over the world.

Distributed Computing

With the invention of the Internet by DARPA (Defense Advanced Research Projects Agency), networked systems gained momentum in the 1970s and the early products came out in the 1980s. Computers were networked together and were communicating with each other and exchanging messages through what is now known as email. Several applications were developed for these distributed systems. The idea was to utilize the resources and carry out a computation in multiple machines. The late 1980s also saw the emergence of parallel computing.

A computing paradigm that exploded in the early 1990s was the distributed object paradigm. Here, computers were encapsulated as objects. This way objects communicated with each other by exchanging messages. This work resulted in consortia such as the Object Management Group [OMG] to be formed. It was at this time that object-oriented languages such as Smalltalk and C++ rose to prominence.

Evaluation of WWW

In the early 1990s, one of the major innovations of the twentieth century was initiated and that was the World Wide Web (WWW). Tim Berners Lee, the inventor of the WWW was a programmer at CERN in Geneva, Switzerland. He started a project to support physicists sharing data.

This project resulted in the WWW. Around the same time, programmers at the University of Illinois National Computing Center developed the MOSAIC browser. These two innovations resulted in ordinary people using the WWW to query and search for information. The late 1990s saw the emergence of several search engines such as Alta Vista and Lycos. Then two researchers from Stanford University started a company called Google that is now the largest web search company in the world. Java became one of the popular programming languages.

Cloud Computing

  • Cloud application 
  • Cloud data layer 
  • Cloud storage layer 
  • Cloud operating system and hypervisor layer 
The late 1990s also saw what is now called the dot-com boom. Several companies that provided services were formed and this resulted in electronic commerce. However, the infrastructure technologies were not mature at that time and, as a result, many of these companies did not survive. In the late 1990s and early 2000s, the notion of web services based on the service paradigm was created. With the service technologies, better infrastructures were built for e-commerce. Corporations were providing services to the consumer based on the service paradigm.

Developments in services computing, distributed computing, and the WWW have resulted in cloud computing. The idea was to provide computing as a service just like we use electricity as a service. That is, a cloud service provider would provide different levels of service to the consumer. The service could be to use the cloud for computing, for database management, or for application support such as organizing one's finances.

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8 Top Data Science Platform Developers in the World

Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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Skills Companies Looking in Automation Engineers All big companies looking for candidates having experience in Automation anywhere, Blue Prism and UIPath. It is not possible to learn all tools. Learn anyone tool and do practice well.

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