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How to Show Data science Project in Resume

In any project, the Data analyst role is to deal with data. The data for data science projects come from multiple sources. This post will explain how to put in data science project in Resume.
Data Science project for Resume The first step for an interview of any project is you need Resume. You need to tell clearly about your resume.

In interviews, you will be asked questions about your project. So the second step is you need to be in a position explain about project.

The third point is you need to explain the roles you performed in your data science project. If you mention the roles correctly, then, you will have 100% chance to shortlist your resume. Based on your experience your resume can be 1 page or 2 pages.
How to show Technologies used in Data science projects In interviews, again they will be asked how you used different tools to complete your data science project.

So, you need to be in a position to explain about how you used different options present in the tools. Sometime…

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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Hyperledger Fabric Real Interview Questions Read Today

I am practicing Hyperledger. This is one of the top listed blockchains. This architecture follows R3 Corda specifications. Sharing the interview questions with you that I have prepared for my interview.

Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
The Hyperledger now backed by IBM. But, it is still an open source. These interview questions help you to read quickly. The below set of interview questions help you like a tutorial on Hyperledger fabric. Hyperledger Fabric Interview Questions1). What are Nodes?
In Hyperledger the communication entities are called Nodes.

2). What are the three different types of Nodes?
- Client Node
- Peer Node
- Order Node
The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.

3). What is Channel?
A channel in Hyperledger is the subnet of the main blockchain. You c…