課程資料
Certificate in Building Data Lakes on AWS
MASTERAWSDL
　





Amazon Web Services (AWS) 是全球最全面、最廣泛採納的雲端平台，透過全球資料中心提供超過 200 項功能完整的服務。

數百萬名客戶 (包括成長最快的新創公司、最大型企業以及領先的政府機構) 都使用 AWS 來降低成本、變得更靈活，以及更迅速地創新。




 

Course description


In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

Course level: Intermediate

Activities

This course includes presentations, lecture, hands-on labs, and group exercises.


Course objectives


In this course, you will learn to:

 

  • Apply data lake methodologies in planning and designing a data lake
     
  • Articulate the components and services required for building an AWS data lake
     
  • Secure a data lake with appropriate permission
     
  • Ingest, store, and transform data in a data lake
     
  • Query, analyze, and visualize data within a data lake


Intended audience


This course is intended for:

 

  • Data platform engineers
     
  • Solutions architects
     
  • IT professionals
     

 

Prerequisites
 

We recommend that attendees of this course have:

 

  • Completed the AWS Technical Essentials classroom course
     
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course


本課程為 AWS 原裝課程，由 AWS 派出官方全職認可導師 (AWS Certified Trainer) 教授。全個課程均為一人一機實習，理論與實戰並重。

課程採用 AWS 原裝教材

課程全面教授學員有關 Building Data Lake on AWS 等技術。

完成課程後，學員更可獲發  AWS  原廠課程修畢證書
　

經過嚴謹的審核，Feva Works 於 2022年10月1日起，正式獲 AWS 認可成為香港區指定 AWS 認可培訓中心。

配以專業教材、最新電腦系統、專業 AWS 認證講師，務求為廣大市民提供最優質、最專業及最可靠的 AWS 培訓課程。



　

 

 

　
若想更了解以上資訊，歡迎致電 3106 8211 查詢。
　
課程費用: $4200

　
課程費用無須申請任何政府基金資助。
繳費方法:

一般課程：按月等額收取列明的課程費用。本中心將不早於課程開始的一個月前收取第一期費用。除第一期的費用外，每期的費用會在課程進行期間每月的首個上學日或之後收取。

組合課程：若該課程為組合課程，本中心將按該組合課程分科收費，直至所收學費為該組合課程的等額費用為止。

　
退款安排: 本中心備有完善之退款政策及程序。學生將會於報讀課程前獲發有關之文件，學員亦可按此閱讀。
　
質素保證: 本中心備有完善之免費補堂，免費重讀及彈性上課安排，令學員更有保障。
　
　 　
理論: 0小時 實習: 6小時 示範: 0小時

合共: 6小時

　

課程內容:

Module 1: Introduction to data lakes

  • Describe the value of data lakes
  • Compare data lakes and data warehouses
  •  Describe the components of a data lake
  •  Recognize common architectures built on data lakes


Module 2: Data ingestion, cataloging, and preparation

  • Describe the relationship between data lake storage and data ingestion
  • Describe AWS Glue crawlers and how they are used to create a data catalog
  • Identify data formatting, partitioning, and compression for efficient storage and query
  • Lab 1: Set up a simple data lake


Module 3: Data processing and analytics

  • Recognize how data processing applies to a data lake
  • Use AWS Glue to process data within a data lake
  • Describe how to use Amazon Athena to analyze data in a data lake


Module 4: Building a data lake with AWS Lake Formation

  • Describe the features and benefits of AWS Lake Formation
  • Use AWS Lake Formation to create a data lake
  • Understand the AWS Lake Formation security model
  • Lab 2: Build a data lake using AWS Lake Formation


Module 5: Additional Lake Formation configurations

  • Automate AWS Lake Formation using blueprints and workflows
  • Apply security and access controls to AWS Lake Formation
  • Match records with AWS Lake Formation FindMatches
  • Visualize data with Amazon QuickSight
  • Lab 3: Automate data lake creation using AWS Lake Formation blueprints
  • Lab 4: Data visualization using Amazon QuickSight
  • Building Data Lakes on AWS


Module 6: Architecture and course review

  • Post course knowledge check
  • Architecture review
  • Course review

 

Get the course outline PDF >>

 
　
 
如有任何有關課程之查詢，歡迎致電 3106 8211 與我們的客戶關係主任聯絡。
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日期 待定
時間 待定
合共 6小時
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