Mastering AWS Analytics ( AWS Glue, KINESIS, ATHENA, EMR)

سرفصل های دوره

Master AWS data Engineering with AWS Glue, Kinesis, Athena, EMR with real time hands on labs and practical

1. Introduction

1. Introduction

2. Course Curriculum

2. EC2

1. Create your first Windows Machine

2. Create your first Linux Machine

3. IAM

1. INTRODUCTION

2. CREATE IAM USER AND ASSIGN POLICY

3. IAM GRUP CONCEPT

4. IAM ROLE

4. AMAZON S3

1. CLOUD STORAGE

2. S3 BASIC CONCEPT

3. S3 USE CASE

4. LAB-1 AMAZON S3

5. S3 LIFECYCLE

6. S3 VERSIONING

5. Kinesis

1. REAL TIME STREAMING

2. KINESIS FAMILY

3. KINESIS OVERVIEW

4. LAB 1 KINESIS DATA FIREHOSE LAB (GENERATE REAL TIME DATA )

5. project kinesis firehose + data analytics + s3

6. AWS GLUE

1. Introduction ETL

2. WHAT IS GLUE

3. GLUE BENEFITS

4. GLUE USE CASE

5. GLUE TERMINOLOGY

6. GLUE ARCHITECTURE

7.1 employee1.csv

7. GLUE DEMO LAB

8.1 employee1.csv

8. GLUE TRANSFORMATION LAB

9. GLUE TANSFORMATION LAB - MULTIPLE SOURCE

10.1 aws glue project 1.zip

10.2 employee1.csv

10. PROJECT -1 END TO END REAL TIME PROJECT (GLUE+S3+LAMBDA)

11.1 SOURCE.zip

11. PROJECT -2 END TO END REAL TIME PROJECT PARTITIONING

7. ATHENA

1. Athena Introduction

2. how athena works

3. who is athena for and prereqisite

4. difference between sql server and athena

5. LAB-1 athena create table by crawler

6. Lab -2 create table without crawler and directly from s3

7.1 superstore.csv

7. Project -1 superstore data analysis by using athena

8.1 superstore.csv

8. Project -2 Partitioning using athena

8. PROJECT 1 S3 + GLUE + ATHENA

1. PROJECT IMPLEMENTATION

9. PROJECT 2 KINESIS + S3 + GLUE + ATHENA

1. project implementation

189,000 تومان

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تولید کننده: Udemy-Training