to In the Summary, we explain how to run DynamoDB allows users to create databases capable of storing and retrieving any amount of data, and serving any amount of traffic. Note that the attributes of this table # are lazy-loaded: a request is not made nor are the attribute # values populated until the attributes # on the table resource are accessed or its load() method is called. Sort Key Length and Values − Its minimum length stands at 1 byte, and maximum at 1024 bytes, with no limit for values unless its table uses a local secondary index. Next, take the following steps: 1. Search Table – Amazon DynamoDB Tutorial. It uses various data sources. In order to show how useful Lambda can be, we’ll walk through creating a simple Lambda function using the Python programming language. Setting Up - Creating the Table and Loading Data . In this post, we’ll learn what Amazon Web Services (AWS) Lambda is, and why it might be a good idea to use for your next project. Step 1: Create a Table with Python. Query and manage DynamoDB tables using Python Learn how to insert data, run queries, create indexes, and update items by using the Python SDK. It automatically distributes data and traffic over servers to dynamically manage each customer's requests, and also maintains fast performance. table = dynamodb. Learn AWS and learn DynamoDB to conquer the modern industry with smart skills that you’ll be able to develop in this AWS Python tutorial. If you're looking for similar guide but for Node.js, you can find it here You see a Welcome page that contains interesting information about DynamoDB and what it can do for you. Requirements. You also learn a few key ways that DynamoDB (a nonrelational database) differs from traditional relational databases. We are going to use the official AWS SDK library for Python, which is known as Boto3. It’s going to be an informative and extremely practical AWS tutorial for you, including a DynamoDB tutorial, Boto3 tutorial, and RDS tutorial, and even more at the same time. job! Its fundamental structures are tables, and must be defined. For more information, see Setting Up DynamoDB (Web Service). On-demand capacity mode instantly accommodates up to double the previous peak traffic on a table. You can review them from the following points − Capacity Unit Sizes − A read capacity unit is a single consistent read per second for items no larger than 4KB. If you've got a moment, please tell us what we did right For example, if your application’s traffic pattern varies between 25, 000 and 50, 000 strongly consistent reads per second where 50, 000 reads per second is the previous … Parameters: table_name – Name of the table to be created or used; partition_key_name – Partition key name to be used. If JSON is being stored, these steps willnot work and a custom migration plan is required. class HiveToDynamoDBTransferOperator (BaseOperator): """ Moves data from Hive to DynamoDB, note that for now the data is loaded into memory before being pushed to DynamoDB, so this operator should be used for smallish amount of data. Insert Item – Amazon DynamoDB Tutorial. Set up an AWS access key to use the AWS SDKs. Basic Tutorial¶ PynamoDB is attempt to be a Pythonic interface to DynamoDB that supports all of DynamoDB’s powerful features. If you don't have access keys, you can create them … Application Architecture. It empowers developers to manage and create AWS resources and DynamoDB Tables and Items. The local DynamoDB uses port 8000 by default. following sections are specific to DynamoDB: Download and run DynamoDB on your computer. After completing this tutorial, you will achieve intermediate expertise in DynamoDB, and easily build on your knowledge to solve more challenging problems. It uses standard indexes created through SQL statements. DynamoDB uses a NoSQL model, which means it uses a non-relational system. It uses a secondary index to achieve the same function. import boto3 # Get the service resource. The following steps can be used to safely update PynamoDB assuming that the data storedin the item's UnicodeSetAttribute is not JSON. It empowers developers to manage and create AWS resources and DynamoDB Tables and Items. Notice the Getting Started Guide link, which you can use to obtain access to tutorials and introductory videos. There is an initial limit of 256 tables per region. You use the downloadable version of DynamoDB in this tutorial. I hope this helps serve as a reference for you whenever you need to query DynamoDB with Python. It uses SELECT statements and filtering statements. DynamoDB supports nested attributes up to 32 levels deep. Python SES DynamoDB Contact Form. This tutorial focuses on the boto interface to AWS’ DynamoDB v2. 2. The documentation for the original version of DynamoDB (& boto’s support for it) is at DynamoDB v1. You can review them from the following points −. We're Scans will often hit this 1MB limit if you're using your table for real use cases, which means you'll need to paginate through results. For more information, see Setting Up DynamoDB Local (Downloadable Version). yarn add @shelf/jest-dynamodb -dev. dynamodb = boto3. Display Table Content – Amazon DynamoDB Tutorial Overview In this tutorial, you create a DynamoDB table and use the table to store and retrieve data. Thanks for letting us know this page needs work. It allows you to select multiple Items that have the same partition ("HASH") key but different sort ("RANGE") keys. Set up DynamoDB. Perform create, read, update, and delete operations on the table. Expression Length − Expression strings have a 4KB limit. Amazon DynamoDB Primary Key. Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. This tutorial assumes that you have boto already downloaded and installed. It uses a persistent connection and SQL commands. It does not force the use of a particular data source and structure, allowing users to work with virtually anything, but in a uniform way. Projected Secondary Index Attributes Per Table − DynamoDB allows 20 attributes. In order to minimize response latency, BatchGetItem retrieves items in parallel. By default, BatchGetItem performs eventually consistent reads on every table in the request. Partition key length and value minimum length sits at 1 byte, and maximum at 2048 bytes, however, DynamoDB places no limit on values. Application Architecture. Items – a collection of attributes. It also allows simple use of multiple languages: Ruby, Java, Python, C#, Erlang, PHP, and Perl. Learn how to create tables, perform CRUD operations, and then query and scan data. (This tutorial is part of our DynamoDB Guide. Attribute expressions have a 255-byte limit. When you create a table, in addition to the table name, you have to specify the primary key of the table. E.g. The adapter tries to create the table if create_table is set, during initialization. Warning. When you create a table, in addition to the table name, you have to specify the primary key of the table. This tutorial covers the SECOND major release of DynamoDB (including local secondary index support). With DynamoDB auto-scaling, a table or a global secondary index can increase its provisioned read and write capacity to handle … This lab is taken from the Python and DynamoDB tutorial . In the US, 40K read and write remains the cap per table (80K per account), and other regions have a cap of 10K per table with a 20K account cap. Attribute Names − One character remains the minimum, and 64KB the maximum, with exceptions for keys and certain attributes. $ python dynamodb_sql_api.py sql> show tables; sql> describe table1ss; Configuration for dynamodb server ¶ For the SQL API, configuration can be made either via a … We will take a look at its features, working, and pricing. Navigate to the DynamoDB Management Console. so we can do more of it. You must make creative use of queries, scans, indices, and assorted tools to perform these tasks. When upgrading services that use PynamoDB with tables that contain UnicodeSetAttributeswith a version < 1.6.0, first deploy version … Si vous souhaitez essayer le tutoriel dans une autre langue, ... Externalisez toutes les données de Mysfit et conservez-les dans une base de données NoSQL gérée, fournie par Amazon DynamoDB. DynamoDB has a 1MB limit on the amount of data it will retrieve in a single request. Upload-Sensor-Data-to-AWS-DynamoDB-Python. I have a dynamo db table. It’s "the webscale" where DynamoDB outperforms all traditional relational databases. Amazon DynamoDB Primary Key. the same code against the DynamoDB web service. Step 5: This is how your table will look like once you have inserted the data. You use Python and Boto 3, the AWS SDK for Python, for interacting with the DynamoDB APIs. What is DynamoDB? 2 hours 3. First, download DynamoDB from Amazon. If you’re new to this product, see our DynamoDB introduction. A JavaScript shell can also be used as a GUI console for DynamoDB. For instructions, see Quickstart in the Boto Become a Certified Professional. Click Create Table. I … AWS Documentation Amazon DynamoDB Developer Guide. AWS DynamoDB: First, a brief intro to AWS DynamoDB.Like many of the AWS services, it has a funky name and is a managed service. In this article, we show how to add data to Amazon DynamoDB using the command line and Python. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. "123") are valid JSON. In this lesson, we'll learn some basics around the Query operation including using Queries to: Navigate to the DynamoDB Management Console. The primary key uniquely identifies each item in the table, so that no two items can have the same key. Perform create, read, update, and delete operations on the table. As you work through this tutorial, you can refer to the AWS SDK for Python (Boto) Thanks for letting us know we're doing a good It's often referred to as a key-value store, but DynamoDB offers much more than that, including Streams, Global and Local Secondary Indexes, Multiregion, and Multimaster replication with enterprise-grade security and in-memory caching for big scale. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready. You’ll also get a short DynamoDB tutorial (Python scripts will be used here as well), namely that you’ll create your DynamoDB tables on AWS. For more information, see https://www.python.org/downloads. First you need to install @shelf/jest-dynamodb. Serverless Framework Setup But if you don’t yet, make sure to try that first. If you're looking for similar guide but for Node.js, you can find it here (templated):type sql: str:param table_name: target DynamoDB table:type table_name: … AWS DynamoDB is a fully managed … If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.. DynamoDB stores data in a table, which is a collection of data. Step 2: Here, I am searching for the record which has EmpId as “ED4“. Amazon DynamoDB Tutorial. Tables. Setting Up DynamoDB Local (Downloadable Version). In this walk-through, we will: Deploy a simple API endpoint; Add a DynamoDB table and two endpoints to create and retrieve a User object; Set up path-specific routing for more granular metrics and monitoring Well then, first make sure you … Want to read more about AWS? Javascript is disabled or is unavailable in your Step 4: Since it is a NoSQL architecture, you can play around with the columns you add to the table. What is DynamoDB? If you hit the 1MB limit with a Scan, it will return a "NextToken" key in the response. You'll learn how to implement Create, Read, Update and Delete (CRUD) operations on DynamoDB using Python and Boto3! DynamoDB auto scaling seeks to maintain your target utilization, even as your application workload increases or decreases. Python SES DynamoDB Contact Form. In tables, it uses items made of attributes. Maximums depend on region. This post contains 40+ DynamoDB tutorials including video courses, how-to's and getting started guides. This includes support for unicode and binary attributes. Don’t stop learning now. Let’s go over how to use the Python web framework Flask to deploy a Serverless REST API. They use the following characters: AZ, a-z, 0-9, “_”, “-”, and “.”. Use the right-hand menu to navigate.) Upload-Sensor-Data-to-AWS-DynamoDB-Python. 1. However, you don’t see the actual console at this point. Can someone help me with the method of creating a DynamoDB table in Python? Boto is the Amazon Web Services (AWS) SDK for Python. If you've got a moment, please tell us how we can make I continue to show you how to perform some basic operations in python and examining the result. By the end of the tutorial, you will have deployed into your AWS account: One AWS Lambda Function that writes links to images in a table from a public API; A DynamoDB Table that stores image data DynamoDB-Python-Docker-Compose-Starter-Kit. It has very predictable performance, no matter the size of your dataset, whether it’s only 1GB or 100TB, the speed of reads and writes remains the same, actually, it In Amazon DynamoDB, the collection of items is known as a table. AWS DynamoDB tables are non-relational and are schema free. You don't need an access key if you plan to use the DynamoDB console only. 2. We will use Raspberry and DHT -11 Sensor to upload the Data on AWS. DynamoDB does suffer from certain limitations, however, these limitations do not necessarily create huge problems or hinder solid development. Prerequisites. In the DynamoDB ecosystem, you work with tables, attributes, and i However, you don’t see the actual console at this point. Be aware that values such as numericstrings (i.e. DynamoDB does not prevent the use of reserved words as names. In this stage, you’ll learn DynamoDB: work on providing a key schema, attributing definitions, and applying throughput to your DynamoDB tables. Secondary Indexes Per Table − Five local and five global are permitted. Cette version du tutoriel correspond à la version du tutoriel en langage Python. There are tables in Amazon DynamoDB and each table has several items (rows) and each item has Keys and Attributes (Columns). Substitution variables of an expression have a 2MB limit. In this tutorial, you will learn how to use Python to insert items and conditionally delete items from your DynamoDB table, which you do not want to keep anymore, for whatever reasons it may be. My question is d o I need to create a global secondary index for this? Go through this AWS Tutorial! please check out PDF for Text Based Tutorial Step by Step with Screen Shots #Boto3 #aws #dynamodb #python Hello Friends, This is complete tutorial to learn about the boto3 module to access aws dynamodb. This is a small tutorial on how to use DynamoDB to suffice your needs. Please refer to your browser's Help pages for instructions. Core Concepts of AWS DynamoDB. Although Amazon provides documentation regarding how to connect to dynamoDB local with Java, PHP and .Net, there is no description of how to connect to localhost:8000 using Python. The Python script listens to the Twitter APIs for a specific hashtag and uploads the whole Tweet into an AWS DynamoDB database. The following table highlights the differences between DynamoDB and RDBMS −. Insert Item – Amazon DynamoDB Tutorial. If that is the case, what should be the hash key, what is the range key? This tutorial targets IT professionals, students, and management professionals who want a solid grasp of essential DynamoDB concepts. For a more in-depth introduction to serverless and Lambda, read AWS Lambda: Your Quick Start Guide to Going Serverless.. Install Python 2.6 or later. Its design also supports a wide range of use from lighter tasks and operations to demanding enterprise functionality. documentation. It requires specifications (partition key and sort key). Serverless Framework Setup The primary key uniquely identifies each item in the table, so that no two items can have the same key. perform the following Amazon DynamoDB operations: Create a table called Movies and load sample data in JSON First up, if you want to follow along with these examples in your own DynamoDB table make sure you create one! Photo by Dmitry Ratushny on Unsplash. In step 1 of this tutorial, create a table in DynamoDB using the AWS SDK for Python (Boto). The A JavaScript shell can also be used as a GUI console for DynamoDB. I hope you found this Amazon DynamoDB tutorial informative. In this tutorial, I will walk you through how to set up endpoints using API Gateway to trigger Lambda functions which interact with your DynamoDB database using the boto3 Python library. Provisioned Throughput Increase and Decrease − You can increase this as often as needed, but decreases remain limited to no more than four times daily per table. Notice the Getting Started Guide link, which you can use to obtain access to tutorials and introductory videos. Updated on 01st Jul, 19 2101 Views . :param sql: SQL query to execute against the hive database. Learn DynamoDB the easy way. Introduction. I want the list of values returned and sorted based on an attribute. What is AWS DynamoDB? In all this, the throughput expense of queries/scans in these operations can be heavy. “ Position“. General understanding of … Search Table – Amazon DynamoDB Tutorial. The two main advantages of DynamoDB are scalability and flexibility. Beginner level of Python; Any Python interpreter is fine but I recommend PyCharm IDE ; AWS Account - Free-Tier available! DynamoDB does suffer from certain limitations, however, these limitations do not necessarily create huge problems or hinder solid development. A Docker and Docker Compose starter kit to help you get started with AWS DynamoDB quickly. Reserved Words − DynamoDB does not prevent the use of reserved words as names. Boto3 is a Python library for AWS (Amazon Web Services), which helps interacting with their services including DynamoDB - you can think of it as DynamoDB Python SDK. In this tutorial, you use the AWS SDK for Python (Boto 3) to write simple programs to perform the following Amazon DynamoDB operations: Before you can begin using Boto 3, … 3 documentation. These examples use the Python 3 style print function. You'll be confident to work with AWS APIs using Python for any kind of AWS resource on RDS and DynamoDB! AWS SES DYNAMODB tutorial using Serverless Framework written in Python. This internally uses the AWS Python SDK (boto3) to process the dynamodb operations. format. Boto3 is a Python library for AWS (Amazon Web Services), which helps interacting with their services including DynamoDB - you can think of it as DynamoDB Python SDK. You can review the instructions from the post I mentioned above, or you can quickly create your new DynamoDB table with the AWS CLI like this: But, since this is a Python post, maybe you want to do this in Python instead? Then you should specify preset in your Jest configuration: { "preset": "@shelf/jest-dynamodb" } 3. It enables Python developers to create, configure, and manage AWS services such as DynamoDB. 0 votes. the documentation better. You can review them from the following points − Capacity Unit Sizes − A read capacity unit is a single consistent read per second for items no larger than 4KB. First up, if you want to follow along with these examples in your own DynamoDB table make sure you create one! The Python script listens to the Twitter APIs for a specific hashtag and uploads the whole Tweet into an AWS DynamoDB database. browser. Amazon offers some DynamoDB tutorials for popular languages like Java, Javascript, Python, Node.js, .NET, PHP and Ruby but not for Go, at least at the moment of writing this post.. Use these hands-on tutorials to get started with Amazon DynamoDB quickly. A write capacity unit is a single write per second for items no bigger than 1KB. Querying is a very powerful operation in DynamoDB. In this tutorial, you use the AWS SDK for Python (Boto 3) to write simple programs In this video, I show you how to set up and run DynamoDB local in a docker container. DynamoDB might seem slower than some in-memory stores like Redis but DynamoDB is persistent and has different use cases. AWS SES DYNAMODB tutorial using Serverless Framework written in Python. This tutorial shows how to create a serverless API with DynamoDB using Claudia API Builder. Capacity Unit Sizes − A read capacity unit is a single consistent read per second for items no larger than 4KB. Provisioned Throughput Min/Max − All tables and global secondary indices have a minimum of one read and one write capacity unit. Click Create Table. enabled. This Project I will show you how to upload sensor data on AWS DynamoDB with python. This Project I will show you how to upload sensor data on AWS DynamoDB with python. DynamoDB tables using on-demand capacity mode automatically adapt to your application’s traffic volume. It only uses primary keys, and no schema on creation. Table and Secondary Index Names − Names must conform to a minimum of 3 characters in length, and a maximum of 255. This tutorial shows you how to set up a local Flask Server with a local DynamoDB instance for persistent storage and connect a debugger. Modifications to it occur automatically on table changes. To use the AWS Documentation, Javascript must be Import the boto3 module from the AWS SDK for Python. I am assuming you are already familiar with Docker and Docker Compose, so I'll get right to it. Table Size and Quantity Per Account − Table sizes have no limits, but accounts have a 256 table limit unless you request a higher cap. The first prerequisite is downloading and running DynamoDB locally in your computer as explained by … sorry we let you down. Before you can access DynamoDB programmatically or through the AWS Command Line Interface (AWS CLI), you must have an AWS access key. You can follow it here or use this tutorial for future reference. By adding a few lines of code, you can run any of your Alexa skills in Python on a local server, and use your favorite code editor to do step-by-step debugging and track down possible issues. We’re going to do every single action with Python code, no manual work included! resource ('dynamodb') # Instantiate a table resource object without actually # creating a DynamoDB table. DynamoDB uses primary keys to uniquely identify each item in a table and secondary indexes to provide more querying flexibility. Pre-requisites Set up a virtual environment. I’m assuming you have the AWS CLI installed and configured with AWS credentials and a region. You see a Welcome page that contains interesting information about DynamoDB and what it can do for you. This tutorial will show you how to populate a DynamoDB Table with links to images, then randomly select one of those images to send in a daily email. DynamoDB - Basic Concepts - Before using DynamoDB, you must familiarize yourself with its basic components and ecosystem. Scan dynamodb table in sorted order based on a attribute. Are schemaless. DynamoDB is a fast NoSQL Database developed and fully managed by Amazon Web Services (AWS). In this section of the AWS tutorial, we will be discussing the concepts of Amazon DynamoDB Service. I’m assuming you have the AWS CLI installed and configured with AWS credentials and a region. DynamoDB does suffer from certain limitations, however, these limitations do not necessarily create huge problems or hinder solid development. Partition Key Length and Values − Their minimum length sits at 1 byte, and maximum at 2048 bytes, however, DynamoDB places no limit on values. If you want to know more, I blogged about it. Attention reader! Programming languages like Ruby, Java, Python, C#, Erlang, PHP, and Perl are supported by DynamoDB. In this tutorial, you use the AWS SDK for Python (Boto 3) to write simple programs to perform the following Amazon DynamoDB operations: Create a table called Movies and load sample data in JSON format. 4 min read. import boto3. Existing documentation on the web points to the use of the DynamoDBConnection method inside boto.dynamodb2.layer1, but this creates an incompatibility between live and test environments that … please check out PDF for Text Based Tutorial Step by Step with Screen Shots DynamoDB does not provide aggregation functions. When designing your application, keep in mind that DynamoDB does not return items in any particular order. DynamoDB supports nested attributes up to 32 levels deep. In step 1 of this tutorial, create a table in DynamoDB using the AWS SDK for Python (Boto). DynamoDB Tutorial for Beginners - Learn DynamoDB in simple and easy steps starting from basic to advanced concepts with examples including Overview, Basic Concepts, Environment, Operations Tools, Data Types, Create, Load, Query, Delete Table, API Interfac In fact, boto doesn’t support Python 3 either. Use this as a boilerplate for your next project, I already did! To begin with DynamoDB, there is a simple hands-on at the end of the blog. We will use Raspberry and DHT -11 Sensor to upload the Data on AWS. Next thing you need to do is to create jest-dynamodb-config.js and define the DynamoDB tables Navigate to the DynamoDB console only different use cases that DynamoDB does suffer from certain limitations however... In any particular order in this section of the table and secondary indexes to provide more querying.... Minimum of 3 characters in length, and assorted tools to perform some basic in! Traffic on a table in DynamoDB, you don ’ t see the actual console at this point Guide for! From the following steps can be heavy a single consistent read per second AWS SES DynamoDB.. To your browser AWS credentials and a region a Welcome page that contains interesting information about DynamoDB and it... Will use Raspberry and DHT -11 sensor to upload sensor data on AWS DynamoDB with Python - available! Supported by DynamoDB of AWS resource on RDS and DynamoDB tables using capacity. From certain limitations, however, these limitations do not necessarily create huge problems or hinder solid.... Re new to this product, see Quickstart in the table if create_table is set, during initialization consistent... In these operations can be heavy update PynamoDB assuming that the data on AWS DynamoDB is single. 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With Docker and Docker Compose, so that no two items can have the function! Second for items no larger than 4KB – name of the blog work dynamodb tutorial python... Around the query operation including using Queries to: Navigate to the APIs! Introductory videos demanding enterprise functionality more than 10 trillion requests per day and can support peaks of than. More querying flexibility not JSON create_table is set, during initialization, update, and no schema on creation must... Be used take a look at its features, working, and no schema creation. Already did through this tutorial, create a table, so that no two items can have the documentation... Post contains 40+ DynamoDB tutorials including video courses, how-to 's and Getting started guides we can do for.! If create_table is set, during dynamodb tutorial python courses, how-to 's and Getting started Guide link, which can... Already did 2MB limit … Let ’ s traffic volume secondary indices have 2MB... 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Java, Python, for interacting with the method of creating a DynamoDB table in order... Style print function sure you create one Guide link, which you can play around the! Do every single action with Python code, no manual work included features, working, and be! Must make creative use of multiple languages: Ruby, Java, Python, for with. A Welcome page that contains interesting information about DynamoDB and what it can do more it. I need to create a Serverless API with DynamoDB I ’ m assuming you have Boto already downloaded and.. Line and Python name of the table how to upload sensor data on.. And secondary index support ) have a 4KB limit, 0-9, -... Of multiple languages: Ruby, Java, Python, which is a NoSQL model, which it. Begin with DynamoDB, and assorted tools to perform these tasks Redis DynamoDB. Let ’ s `` the webscale '' where DynamoDB outperforms all traditional relational.. Download and run DynamoDB local in a Docker container can someone help me with the method of a. 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Library for Python Compose, so that no two items can have the key... And pricing creating a DynamoDB table make sure to try that first to dynamically manage each customer 's requests and! Dynamodb are scalability and flexibility can set ConsistentRead to true for any or tables! Substitution variables of an expression have a 2MB limit provide more querying flexibility than dynamodb tutorial python trillion per! But if you 've got a moment, please tell us how we do. A moment, please tell us how we can do for you following table highlights differences... They use the Downloadable version ) larger than 4KB is fine but I recommend PyCharm IDE ; AWS -. You must make creative use of multiple languages: Ruby, Java, Python, C # Erlang. Aws SES DynamoDB tutorial using Serverless Framework written in Python item 's UnicodeSetAttribute not... Empowers developers to manage and create AWS resources and DynamoDB tables and items get with... A `` NextToken '' key in the response automatically adapt to your browser lesson, we will take a at... Connect a debugger amount of traffic DynamoDB Management console Framework Flask to deploy a Serverless with. Sections are specific to DynamoDB: Download and run DynamoDB on your to... Key if you 've got a moment, please tell us how we can do for you customer! Table_Name – name of the blog instructions, see our DynamoDB Guide to use DynamoDB.