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8 Popular Encryption methods real Usage

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Encryption works as it replaces original data with some special characters and stores the data. You need a private key to decrypt the data. Else it is not possible to understand encrypted data even for hackers.

Private keys are two types. Sender uses one private key and receiver uses one other private key.
I have given in this post about 8 encryption methods.

Flow Diagram Encryption
 Different Encryption Methods Classic CipherRandom Key GenerationRSA TokenHash FunctionsMac value - Message Authentication codeKey HashTLS ProtocolAuthenticated Cipher  1. Classic Cipher The best example is this kind of algorithm was used in world war -II communication machines. 2. Random Key Generations One kind of security. They use an algorithm that sends random numbers. People use that number as a password.
3. RSA Token Every 60 seconds a token is generated. Mostly people use for financial applications. An extra identity mechanism along with user id and password. 4. Hash Functions It assigns a hash va…
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Tableau top features useful for data analysis

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Tableau is one of the most popular tools in data analysis. Learning the Tableau gives you so many options in data analysis career.
tableau features
You can download Tableau Software free version here. Get complete understanding document on how Tableau works here. Read this post for advancing in your Tableau Career.

Unique functionality in Tableau

Tableau Software was founded on the idea that analysis and visualization should not be isolated activities but must be synergistically integrated into a visual analysis process. Visual analysis means specifically:

 Data Exploration: Visual analysis is designed to support analytical reasoning. The goal of the visual analysis is to answer important questions using data and facts. In order to support analysis, it is not enough to only access and report on the data.

Analysis requires computational support throughout the process. Typical steps in the analysis include such operations as
  • filtering to focus on items of interest
  • sorting to rank and prioritize
  • grouping and aggregating to summarize
  • creating on-the-fly calculations to express numbers in useful ways. A visual analysis application exposes these exploratory operations to ordinary people through easy-to-use interfaces.
Related: Tableau 9 Advanced Training

Data Visualization

Visual analysis means presenting information in ways that support visual thinking. Data is displayed using the best practices of information visualization. The right presentation makes it easy to organize and understand the information.

For example, critical information may be quickly found, and features, trends, and outliers may be easily recognized. One powerful way to evaluate any analysis tool is to test its effectiveness in answering specific questions.

At the most fundamental level, does the tool have the analytical power needed to answer the question?

At another level, how long does it take to answer the question? A successful visual analysis application unites data exploration and data visualization in an easy-to-use application that anyone can use.

Daily use Tableau commands

  1. addusers (to group)
  2. creategroup
  3. createproject
  4. createsite
  5. createsiteusers
  6. createusers
  7. delete workbook-name or datasource-name
  8. deletegroup
  9. deleteproject
  10. deletesite
  11. deletesiteusers
  12. deleteusers
  13. editdomain
  14. editsite
  15. export
  16. get url
  17. listdomains
  18. listsites
  19. login
  20. logout
  21. publish
  22. refreshextracts
  23. removeusers
  24. runschedule
  25. set
  26. syncgroup
  27. version
YouTube tutorial for beginners:


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