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5 Super SEO Blogger Tools

In this post, I have explained top blogging tools that need to be considered by every blogger. These tools help you write better SEO friendly blog posts.



1). Headline Analyzer The best tool is the EMV Headline Analyzer. When you enter the headline it analyzes it and gives you EMV ranking. When you get '50' and above it performs better SEO.

2). Headline Length Checker The usual headline length is 50 to 60 characters. Beyond that, the headline will get truncated and looks ugly for search engine users. The tool SERP Snippet Optimization Tool useful to know how it appears in the search results.

3). Free Submission to Search Engines The tool Ping-O-Matic is a nice free submission tool. After your blog post, you can submit your feed to Ping-O-Matic. It submits to search engines freely.

4). Spell and Grammar Check Another free tool is Grammarly, this tool checks your spelling and grammar mistakes. So that you can avoid small mistakes.

5). Keyword AnalyzerWordstream Keyword analyzer i…

R Vs SAS differences to read today

Statistical analysis should know by every software engineer. R is an open source statistical programming language. SAS is licensed analysis suite for statistics. The two are very much popular in Machine learning and data analytics projects.
SAS is analysis suite software and R is a programming language

R Programming

  1. R supports both statistical analysis and Graphics
  2. R is an open source project.
  3. R is 18th most popular Language
  4. R packages are written in C, C++, Java, Python and.Net
  5. R is popular in Machine learning, data mining and Statistical analysis projects.

SAS

  1. SAS is a statistical analysis suite. 
  2. Developed to process data sets in mainframe computers.
  3. Later developed to support multi-platforms. Like  Mainframe, Windows, and Linux
  4. SAS has multiple products. SAS/ Base is very basic level.
  5. SAS is popular in data related projects.

Learn SAS vs R

Top Differences between SAS Vs R Programming

SAS Advantages

  1. The data integration from any data source is faster in SAS.
  2. The licensed software suite, so you will get support from SAS organization for any issues.
  3. SAS has multiple products. Most popular in creating reports and statistical analysis.
  4. Best suited for data-oriented projects.

SAS Disadvantages

  1. Mining of text is hard in SAS.
  2. Graphical visualization is not present in SAS.
  3. SAS is not suitable for Machine learning projects.
  4. The SAS software is expensive.
  5. SAS studio is a useful tool to work on it.

R Advantages

  • R is flexible since a lot of packages are available.
  • R is best suited for data related projects and Machine learning.
  • Less cost since it is open source language.
  • R Studio is the best tool to develop R programming modules.
Ref: imartcus.org (read more advantages)

r programming advantages


R Disadvantages

  • R language architecture model is out of date. So may not use it for critical applications.
  • R is not suitable for Server programming, due to lack of security.
  • R code you cannot use in web browsers.

References

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Tokenization story you need Vault based Vs Vault-less

The term tokenization refers to create a numeric or alphanumeric number in place of the original card number. It is difficult for hackers to get original card numbers.

Vault-Tokenization is a concept a Vault server create a new Token for each transaction when Customer uses Credit or Debit Card at Merchant outlets 
Let us see an example,  data analysis. Here, card numbers masked with other junk characters for security purpose.

Popular Tokenization ServersThere are two kinds of servers currently popular for implementing tokenization.
Vault-based Vault-less Video Presentation on Tokenization
Vault-based server The term vault based means both card number and token will be stored in a Table usually Teradata tables. During increasing volume of transactions, the handling of Table is a big challenge.
Every time during tokenization it stores a record for each card and its token. When you used a card multiple times, each time it generates multiple tokens. It is a fundamental concept.
So the challe…