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5 Super SEO Blogger Tools

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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…
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Data lake Repository You Need to Know About it

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In DataLake data stored internally in a repository. You can say this format as a blob. The data in DataLake does not have a particular Schema or Format.

data lake repository example
Photo Credit: Srini

SQL Database

  • Let us take a traditional database, here, a database design and Scheme are to be defined before you enter data. In data-lake, there is no format for this. It is like a dump. 
  • This dump you can send to Hadoop repository for data analysis. This repository can be incremental. Also, you can build a large database.

Data lake Vs Hadoop

Data-Lake is a dump of data with no format. There are many pre-formats required before it sends for analytics. One is data security and encryption. These techniques to be done before you send your data to Hadoop repository.

In real-time, Hadoop data analytics need lot other pre-processing of data required to proceed further.
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Tokenization story you need Vault based Vs Vault-less

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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…
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