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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…

The best Free mining tool that adds value to backup data

#data-mining-tool-that-adds-value-to-backup-data
#data-mining-tool-that-adds-value-to-backup-data:
What is data mining?
The next big thing in backup will be a business use case to mine the data being stored for useful information. It’s a shame all that data is just sitting there wasted unless a restore is required. It should be leveraged for other, more important things. This method is called Data Mining Technique.
For example, can you tell me how many instances of any single file is being stored across your organization? Probably not, but if it’s being backed up to a single-instance repository, the repository stores a single copy of that file object, and the index in the repository has the links and metadata about where the file came from and how many redundant copies exist.
By simply providing a search function into the repository, you would instantly be able to find out how many duplicate copies exist for every file you are backing up, and where they are coming from.
Knowing this information would give you a good idea of where to go to delete stale or useless data. The complete knowledge on Data mining is a plus point to start further on this. After all, the best way to solve the data sprawl issue in the first place is to delete any data that is either duplicate or not otherwise needed or valuable. Knowing what data is a good candidate to delete has always been the problem.

Tools available
I think there may be an opportunity to leverage those backups for some useful information. When you combine disk-based backup with data deduplication, the result is a single instance of all the valuable data in the organization. I can’t think of a better, more complete data source for mining.
  • With the right tools, the backup management team could analyze all kinds of useful information for the benefit of the organization, and the business value would be compelling since the data is already there, and the storage has already been purchased. 
  • The recent move away from tape backup to disk-based deduplication solutions for backup makes all this possible.
Being able to visualize the data from the backups would provide some unique insights. As an example, using the free WinDirStat tool

A best use case is, I noticed I am backing up multiple copies of my archived Outlook file, which in my case is more than 14GB in size. If you have an organization of hundreds or thousands of people similar to me, that adds up fast.
The below are the best questions to use Data Mining tool
Are you absolutely sure you are not storing and backing up anyone’s MP3 files? How about system backups? Do any of your backups contain unneeded swap files? How about stale log dumps from the database administrator (DBA) community? What about any useless TempDB data from the Oracle guys? Are you spending money on other solutions to find this information? Are you purchasing expensive tools for email compliance or audits?
Advantages of Data mining
The backup data could become a useful source for data mining, compliance and data archiving or data backup, and can also bring efficiency into data storage and data movement across the entire organization.

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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…