aws_access_key

aws_secret_access_key

facebook_access_token

bucket_name

opensearch_host

search-domain-opensearch-domain.us-east-1.es.amazonaws.com

opensearch_password

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Become an AWS pro with hands-on experience in data analytics and management, developed by AWS Solution Certified Architects. No setup, no cleanup, no hassle.

Data Analytics on AWS- An Architectural Guide.png

Dockerfile.tar.gz

connect.py

get-fb-data.py

count-s3.py

send-firehose.py

upload-s3.py

show-logs.py

send-data-stream.py

index-data.py

create-table.py

spark-demo.py

detect-language.py

Due to the widespread adoption of the internet and the prevalence of connected devices, a large amount of data is generated every second. This abundance of data allows businesses to gather valuable insights and reinvent their businesses. Amazon Web Services (AWS) offers a range of solutions to help address these challenges.

This course provides an overview of the data management and analytics services provided by AWS. You’ll begin with understanding different databases and how to migrate data between them. Then, you’ll learn about Amazon Simple Storage Service (S3) and set up data lakes. Next, you’ll learn about AWS data security features, including S3 encryption, Lake Formation access controls, and audit logging. You’ll also set up and run Extract, Transform, and Load (ETL) workflows on AWS Glue. You’ll finish with in-depth purpose-built analytics tools in AWS.

By the end of this course, you’ll have mastered the data analytics and management tools that AWS offers.

Data Analytics on AWS: An Architectural Guide

Ancient Egyptian ways of honoring the dead. They require hieroglyphs.

Televised information that contains a bunch of numbers. They can be streamed via the internet.

Any information that can be stored or utilized. Data can be numbers or text. 

Broadly, methods for discovering, interpreting, and communicating insights from data

The opposite of data engineering and data science

The only way that baseball teams can succeed in the modern sports world

Amazon's set of developer tools for creating and managing web-based applications

Amazon's electricity grid for powering a microwave and other kitchen appliances

**(True or False)** For storing data, NoSQL databases are always better than SQL (relational) databases.

(True or False) For storing data, NoSQL databases are always better than SQL (relational) databases.

The AWS recommendation for implementing a data lake on AWS architecture

Amazon's Simple Storage Service consisting of buckets, folders, and file objects

One of the most popular AWS services used by production applications

**(Select all that apply.)** What is Amazon S3? 

(Select all that apply.) What is Amazon S3?

**(True or False)** AWS Lake Formation is the only thing necessary for an effective data governance implementation.

(True or False) AWS Lake Formation is the only thing necessary for an effective data governance implementation.

**(True or False)** It's possible to extract, load, and/or transform data *without* using AWS Glue or AWS Glue DataBrew.

(True or False) It’s possible to extract, load, and/or transform data without using AWS Glue or AWS Glue DataBrew.

**(True or False)** Only AWS tools can be used with data that's stored on AWS.

(True or False) Only AWS tools can be used with data that’s stored on AWS.

Amazon Managed Streaming for Apache Kafka

Which AWS tool focuses on making data dashboards and visualizations?

Which AWS tool focuses on making data dashboards and visualizations?

**(Select all that apply.)** Which AWS tools integrate ML algorithms for additional data insights?

(Select all that apply.) Which AWS tools integrate ML algorithms for additional data insights?

Overview

Data Sources

Data Ingestion

Scalable Data Lake

Unified Governance

Seamless Data Movement

Purpose-Built Analytics and Insights

Wrap Up

Scalable Machine Learning Model for Accurate Predictions on AWS

Quiz: Overview

Question 1