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How to decode Tag-Length-Value Quickly

Basically, in TLV, the format is Tag, Length, and Value. In the list of protocols, TLV is one of the types. Transmitting the data depends on the protocol you used. However, many financial transactions still follow the TLV format. According to IBM, TLV data is three parts. The tag tells what type of data it is. The length field has a length of the value. The Value field has actual value.

Structure of TLV.TLV comprises three field values.  TagLengthValueEMV formulated different tags. They have their own 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 TLVTag: 1…

The best 5 differences of AWS EMR and Hadoop

With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. It does this by distributing the computational work across a cluster of virtual servers running in the Amazon cloud. The cluster is managed using an open-source framework called Hadoop.
With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data.

Amazon EMR - Elastic MapReduce, The Unique Features


Amazon EMR has made enhancements to Hadoop and other open-source applications to work seamlessly with AWS.

For example, Hadoop clusters running on Amazon EMR use EC2 instances as virtual Linux servers for the master and slave nodes, Amazon S3 for bulk storage of input and output data, and CloudWatch to monitor cluster performance and raise alarms.

You can also move data into and out of DynamoDB using Amazon EMR and Hive.

All of this is orchestrated by Amazon EMR control software that launches and manages the Hadoop cluster. This process is called an Amazon EMR cluster.

What does Hadoop do...

Hadoop uses a distributed processing architecture called MapReduce in which a task is mapped to a set of servers for processing.

The results of the computation performed by those servers is then reduced down to a single output set.

One node, designated as the master node, controls the distribution of tasks. The following diagram shows a Hadoop cluster with the master node directing a group of slave nodes which process the data.

One Master node handles multiple slave nodes.
AWS Cloud Formation
All open-source projects that run on top of the Hadoop architecture can also be run on Amazon EMR. The most popular applications, such as Hive, Pig, HBase, DistCp, and Ganglia, are already integrated with Amazon EMR.
By running Hadoop on Amazon EMR you will get the following benefits of the cloud:
  1. The ability to provision clusters of virtual servers within minutes.
  2. You can scale the number of virtual servers in your cluster to manage your computation needs, and only pay for what you use. 
  3. Integration with other AWS services.

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