Learn Analytics with AWS Athena and Quicksight

person icon Pranjal Srivastava

4 ★★★★ ★

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Learn Analytics with AWS Athena and Quicksight

Name: Learn Analytics with AWS Athena and Quicksight
Rating: 4 (265 reviews)
Author: Pranjal Srivastava

Learn Serverless Computing with AWS

updated on icon Updated on Jun, 2024

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon IT & Software,AWS Athena,Amazon QuickSight

Lectures -12

Duration -47 mins

4 ★★★★ ★

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Course Description

AWS Athena is a new, server-less technology enabling users to query S3 data interactively. This course teaches you everything you need to use Athena, including access configuration, schema definition, querying, and performance and cost optimization .

This course contains project from which you will learn everything about AWS Athena

Firstly,we will upload our datasets into S3 bucket , then create AWS Athena instance. After this,we will execute different types of statements in Athena SQL editor.

Goals

Exploring AWS Analytics offerings and knowledge to handle data sicentist jobs
Be able to learn fundamentals of Amazon (AWS) QuickSight and its powerful and easy to use features and capability

Prerequisites

Basic knowledge of database and data warehouse concepts
Basic working knowledge of any SQL style query language
Course includes demo of all the labs. An AWS Account would be required to try labs hands-on.

Learn Analytics with AWS Athena and Quicksight

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures

Introduction(AWS Athena) 05:54 05:54

Amazon S3: Adding data into bucket
2 Lectures

DML Statements (Select,Insert,Update,etc)
4 Lectures

DDL Statements(Create,Drop,Alter,etc)
3 Lectures

Quicksight
1 Lectures

Instructor Details

Pranjal Srivastava

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

Course Certificate

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