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How to Decode TLV Quickly

In TLV, the format is Tag, Length, and Value. The TLV protocol needs this type of data. Here you will know how to decode TLV data. According to IBM , TLV data is three parts. The tag tells what type of data it is. The length field denotes the length of the value. The Value-field denotes the actual value. Structure of TLV. TLV comprises three field values.  Tag Length Value EMV formulated different tags. They have their meanings. Usually, the Tag and Length together takes 1 to 4 bytes. The Best example for TLV. In the below example, you can find the sample TAG, LENGTH, and VALUE fields. [Tag][Value Length][Value] (ex. " 9F4005F000F0A001 ") where Tag Name =  9F40 Value Length (in bytes) =  05  Value (Hex representation of bytes. Example, "F0" – 1-byte) =  F000F0A001 In the above message, tag 9F40 has some meaning designed by EMV company. Here  you can find a list of EMV Tags. How to read the TLV Tag: 1 or 2 bytes Length: Length of the Value. F0-00-F0-A0-01 ==> 5 By

AWS Elastic Computing Top Security, Features

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The short name for Amazon Elastic Computing Cloud is EC2. You can keep this point as an interview question.  The computing capacity has an elastic property. Based on your requirement you can increase or decrease computing power. I am giving in this AWS EC2 real story for your quick reference.

2 Top Tableau Unique Features

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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. You can download Tableau Software free version here . Get a 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: 1). 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