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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…

Data Analytics Engineers - Salaries

Data Analytics Engineers - Salaries
#Data Analytics Engineers - Salaries and career options:
Some key skills which are very crucial for an employee these days are the ability to communicate disruptive ideas, multi-disciplinary skills with appropriate depth of specialisation, learnability and resilience," said Prithvi Shergill, chief human resources officer, HCL Technologies, the country's fifth-largest technology company.

So, an engineer with 2-3 years' experience working in data analytics can expect a salary of Rs 4-6 lakh in India and $70-80,000 in the US or Europe. 
But without big data skills, the same engineer can earn only Rs 3-5 lakh, according to Anurag Gupta, chief operating officer at Magna Infotech, an IT staffing firm.

  • Experience of 5-6 years in data analytics can help an engineer command a salary of up to Rs 10-12 lakh in the domestic market, according to Kamal Karanth, India MD of staffing firm Kelly Services.
  • Firms like IPsoft, Happiest Minds and Mu Sigma, operating in automation, mobility and analytics solutions as well as cloud-based deployment, are competing in areas that are seeing the fastest growth for the country's IT players. Digital technologies contribute 5-10% of the industry's revenue, according to the National Association for Software and Services Companies.

New York-based IPsoft, which has a facility at Bangalore, pays employees with proficiency in data analytics up to 20% more than what it pays for engineers with proficiency in just coding. The privately-held company has 1,700 employees across 10 offices globally.

"There are fewer than 50,000 machine-learning scientists in the world today who can make sense of big data science," said Arnab Gupta, founder CEO of Opera Solutions, the New Jersey-based predictive analytics firm. Read more.

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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…