Data & Analytics on AWS
Data & Analytics on AWS, available at $44.99, with 21 lectures, and has 2 subscribers.
You will learn about What is AWS S3 & data upload, Time series data Modeling in S3 What is AWS Glue & Developing AWS Glue ETL jobs What is AWS Athena & how to use it to run adhoc query on data in AWS S3 What is AWS Quick Sight & how to use it to create Dashboard This course is ideal for individuals who are Developers curious about data Engineering & Analytics It is particularly useful for Developers curious about data Engineering & Analytics.
Enroll now: Data & Analytics on AWS
Summary
Title: Data & Analytics on AWS
Price: $44.99
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- What is AWS S3 & data upload, Time series data Modeling in S3
- What is AWS Glue & Developing AWS Glue ETL jobs
- What is AWS Athena & how to use it to run adhoc query on data in AWS S3
- What is AWS Quick Sight & how to use it to create Dashboard
Who Should Attend
- Developers curious about data Engineering & Analytics
Target Audiences
- Developers curious about data Engineering & Analytics
What is AWS S3 & How to do Time series data Modelling in S3, how to upload sample data files in S3
What are AWS S3 key components & key Features (i.e S3 Object Lifecycle, Object lock, S3 replication, Presigned URL, S3 event notification, strong consistency, S3 Select, S3 Batch operations, Hosting a static website in AWS S3)
What are different storage classes in AWS S3
What is AWS Glue, it’s design & key features(Spark streaming job, Glue Crawler, Data catalog & Developing AWS Glue ETL jobs , glue workflow & Triggers , aws Glue Schema Registry)
How to develop Glue ETL job in Glue studio using interactive sessions
What is AWS Athena & How to use it to run adhoc query on data in AWS S3
What is AWS Quick Sight & How to use it to create BI Dashboard
LABS on AWS S3 bucket creation, AWS Glue, AWS Athena, AWS Quick sight
Enterprise level project: which shows how to load data into S3 bucket & then crawl that data using glue crawler to create database & table in Glue catalog. use AWS glue ETL job to read & write data from S3 via data Catalog. Quick sight will be used to buid analytics dashboard from raw data & transformed data.
Course Curriculum
Chapter 1: Course Introduction
Lecture 1: course Intro
Chapter 2: AWS S3
Lecture 1: What is AWS S3 & It's key components
Lecture 2: LAB : How to create S3 bucket in AWS Account & upload data
Lecture 3: What are AWS S3 key features
Chapter 3: AWS Glue
Lecture 1: What is AWS Glue & It's Design
Lecture 2: What are key Features of AWS Glue
Lecture 3: What is AWS Glue Crawler & Data Catalog ?
Lecture 4: LAB : Create an Glue Crawlers to crawl S3 data & Create table in Data Catalog
Lecture 5: LAB : Glue ETL Job to read & write data from S3 using metadata in Data Catalog
Chapter 4: AWS Athena
Lecture 1: What is AWS Athena & It's design
Lecture 2: LAB : How to setup Athena to run Queries on S3 Data
Chapter 5: AWS Glue Programming
Lecture 1: AWS Glue Programming-1
Lecture 2: AWS Glue Programming-1.1
Lecture 3: AWS Glue Programming-2
Lecture 4: AWS glue Programming-3
Chapter 6: AWS QuickSight
Lecture 1: What is AWS Quicksight & It's Benefits
Lecture 2: How to Build Quicksight dashboard from S3 data
Lecture 3: How to Build Quicksight dashboard using multiple dataset from S3 data
Lecture 4: How to create calculated fields in dataset & use for Quicksight dashboard
Lecture 5: How to use filters in Quicksight Dashboard
Lecture 6: AWS Quicksight Crash Course
Instructors
-
Anil Ahlawat
Cloud & data Architect
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