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In this video, we are going to see how we compare from particle operations into dynamic DB Table B

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using a SDK libraries.

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As you know that Amazon Dynamic DB supports particle scale compatible language to select insert update

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and delete data operations in Dynamic DB.

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So we can use particle operations and we can easily interrupt dynamic DB tables and run ad hoc queries

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on the Dynamo DB table with using the SDK libraries.

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So particle operations provide the same availability, latency and performance as the other dynamo DB

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data, plane operations.

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So in this video we will learn how to use particle MTB bits using SRC libraries.

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Basically particle has two main command in this object.

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So if you open the documentation, you can see that we have executed statement command and we have batch

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execute statement command.

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So we will start with the execute statement command.

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Basically, this command is getting as a parameter of the SQL related scripts.

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Basically, this operation allows us to perform, read and Singleton writes on data stored in the Dynamo

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Dynamo DB table.

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So for particle reads that means select statements.

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We can perform the Select Statement with using the Execute Statement Command and also perform, update

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and insert commands.

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So let's get started how we can implement this.

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But before that, check the batch execute statement.

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Also, it is the same structure, but this time it is requesting get the items.

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So here you can see the batch execute statement command.

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So in this command allows us to perform batch read and write operations on data stored in the DB table.

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We can compare the input values from here and also these here.

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So this is the single execute statement.

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See the properties in here and this is the batch execute statement, command input, see that this is

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properties are stored in the statements as array.

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So in the next video we will see these two command in order to perform current operations using particular.