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

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manish tiwari

5:06:06

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1. Introduction

1. Introduction.mp4

00:36

2. Course Curriculum.mp4

02:35

2. EC2

1. Create your first Windows Machine.mp4

09:57

2. Create your first Linux Machine.mp4

04:02

3. IAM

1. INTRODUCTION.mp4

00:58

2. CREATE IAM USER AND ASSIGN POLICY.mp4

08:15

3. IAM GRUP CONCEPT.mp4

04:25

4. IAM ROLE.mp4

06:48

4. AMAZON S3

1. CLOUD STORAGE.mp4

01:56

2. S3 BASIC CONCEPT.mp4

03:51

3. S3 USE CASE.mp4

02:10

4. LAB-1 AMAZON S3.mp4

03:18

5. S3 LIFECYCLE.mp4

05:13

6. S3 VERSIONING.mp4

03:54

5. Kinesis

1. REAL TIME STREAMING.mp4

03:40

2. KINESIS FAMILY.mp4

03:46

3. KINESIS OVERVIEW.mp4

08:02

4. LAB 1 KINESIS DATA FIREHOSE LAB (GENERATE REAL TIME DATA ).mp4

11:40

5. project kinesis firehose + data analytics + s3.mp4

22:53

6. AWS GLUE

1. Introduction ETL.mp4

01:59

2. WHAT IS GLUE.mp4

02:23

3. GLUE BENEFITS.mp4

01:25

4. GLUE USE CASE.mp4

01:24

5. GLUE TERMINOLOGY.mp4

02:48

6. GLUE ARCHITECTURE.mp4

03:14

7.1 employee1.csv

7. GLUE DEMO LAB.mp4

20:11

8.1 employee1.csv

8. GLUE TRANSFORMATION LAB.mp4

22:49

9. GLUE TANSFORMATION LAB - MULTIPLE SOURCE.mp4

17:06

10.1 aws glue project 1.zip

10.2 employee1.csv

10. PROJECT -1 END TO END REAL TIME PROJECT (GLUE+S3+LAMBDA).mp4

17:57

11.1 SOURCE.zip

11. PROJECT -2 END TO END REAL TIME PROJECT PARTITIONING.mp4

13:46

7. ATHENA

1. Athena Introduction.mp4

02:35

2. how athena works.mp4

01:18

3. who is athena for and prereqisite.mp4

01:45

4. difference between sql server and athena.mp4

01:51

5. LAB-1 athena create table by crawler.mp4

11:34

6. Lab -2 create table without crawler and directly from s3.mp4

03:39

7.1 superstore.csv

7. Project -1 superstore data analysis by using athena.mp4

11:22

8.1 superstore.csv

8. Project -2 Partitioning using athena.mp4

07:16

8. PROJECT 1 S3 + GLUE + ATHENA

1. PROJECT IMPLEMENTATION.mp4

21:44

9. PROJECT 2 KINESIS + S3 + GLUE + ATHENA

1. project implementation.mp4

30:01

Description

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

What You'll Learn?

Confidently work with AWS Serverless services to develop Data Catalogue, ETL, Analytics on a Data Lake
Build a serverless data lake on AWS using structured and unstructured data
Develop deep knowledge in Glue, Athena, kinesis, kinesis analytics etc.
Real time streaming data store and process

Who is this for?

Anyone who wants to learn AWS Serverless technologies for data and analytics should take this course

Data Professionals seeking to learn Serverless Storage, Serverless ETL, Serverless Data Analysis

More details

Description

In this course, we would learn the following:
1) We will start with Basics on Serverless Computing .
2) We will learn Schema Discovery, ETL, Scheduling, and Tools integration using Serverless AWS Glue Engine built on Spark environment.
3) We will learn to develop a centralized Data Catalogue too using Serverless AWS Glue Engine.
4) We will learn to query data lake using Serverless Athena Engine build on the top of Presto and Hive.
5) We will learn about kinesis family and learn how we can handle real time data and do analytics
Businesses have always wanted to manage less infrastructure and more solutions. Big data challenges are continuously challenging the infrastructure boundaries. Having Serverless Storage, Serverless ETL, Serverless Analytics, and Serverless Reporting, all on one cloud platform had sounded too good to be true for a very long time. But now its a reality on AWS platform. AWS is the only cloud provider that has all the native serverless components for a true Serverless Data Lake Analytics solution.
This course understands your time is important, and so the course is designed to be laser-sharp on lecture timings, where all the trivial details are kept at a minimum and focus is kept on core content for experienced AWS Developers / Architects / Administrators. By the end of this course, you can feel assured and confident that you are future-proof for the next change and disruption sweeping the cloud industry.
I am very passionate about AWS Serverless computing on Data and Analytics platform, and am covering A-to-Z of all the topics discussed in this course.
So if you are excited and ready to get trained on AWS Serverless Analytics platform, I am ready to welcome you in my class !
Who this course is for:
Anyone who wants to learn AWS Serverless technologies for data and analytics should take this course
Data Professionals seeking to learn Serverless Storage, Serverless ETL, Serverless Data Analysis

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Amazon AWS

manish tiwari

Instructor's Courses

Hi I am manish and I am a full time data engineer and having 5+ years of IT experiences delivering some of the large data projects for industries ranging from technology, security, finance, retail . The projects I delivered were both on cloud platforms such as Azure and AWS as well as On-premises.I have a passion for teaching and I take great pride in the success of my students. I have a different style of teaching than that of a standard I.T. trainer. My courses are based on real world projects. My courses will, not only explain the concepts, but also make them stick by using real world projects and examples. Throughout the course I give guidance on good practices and guide you towards building a production ready application. I strongly believe that once you have completed my courses you will have sufficient experience and knowledge required to start a real time project on that technology. Of course you may require further learning to progress in your career, but I will give you the required foundation and put you in the right direction to gain additional knowledge.I value your time as much as I do mine. So, I keep my courses to the point and my courses have been taught in simple English without any jargons.

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