Working with Amazon DynamoDB using Python & Boto3

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Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn how to create tables in DynamoDB using Python & boto3.

Learn how to perform CRUD operations in DynamoDB.

Learn how to perform Query, Scan & Indexing Operations for efficient retrieval of data.

Clock2 hours
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this 2-hours long project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3. We will look at how to generate credentials to programmatically access AWS resources. We will then look at how to create a DynamoDB Table and load data in it. We will then move on to how to perform CRUD operations in DynamoDB which include Create new records, Reading, updating and deleting existing records. We will then look at how to perform Queries to retrieve data from a table using the primary key. We will then look at Scan operation which reads every item in the entire table and look at how to apply filters on the retrieved data to retrieve data without using a primary key. Finally we will see how to create an Index, specifically Global Secondary Index (GSI), to perform queries (an efficient alternative to Scan) on the database using fields which are non-primary key. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

  • aws
  • Database (DBMS)
  • Python Programming
  • NoSQL
  • Amazon Dynamodb

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Introduction to DynamoDB & Generating Credentials for programmatic Access

  2. Creating a DynamoDB Table & Loading Data

  3. CRUD Operations: Create and Read

  4. CRUD Operations: Update and Delete

  5. Querying a AWS DynamoDB Table

  6. Performing Scan Operations on AWS DynamoDB

  7. Creating Global Secondary Index (GSI) to perform queries

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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