Data Silos Lakes and Streams E-Learning Ausbildung

Bestellen Sie diesen erstaunlichen, preisgekrönten E-Learning-Schulungs kurs für Data Silos Lakes and Streams online, 1 Jahr rund um die Uhr, Zugriff auf umfangreiche interaktive Videos, Reden, praktische Aufgaben und Fortschrittsüberwachung. Nach dem Kurs erhalten Sie eine Teilnahmebescheinigung.

Kursinhalt

Data Silos, Lakes, & Streams: Introduction

Course: 1 Hour, 20 Minutes

Course Overview
Data Silos
Data Lakes
Characteristics of Data Lakes
Data Lake Architecture, Features, and Challenges
Data Warehouses
Data Warehouses vs. Data Lakes
Data Streams
Migrating Data to AWS
Data Lakes on AWS
Working with Data Lakes on AWS
Exercise: Data Silos, Lakes, and Streams

Data Silos, Lakes, and Streams: Data Lakes on AWS

Course: 1 Hour, 10 Minutes

Course Overview
Create a Role for the AWS Glue Service
Upload Data to S
Explore the Glue Web Console
Manually Create Glue Tables
Query the Data Lake Using Amazon Athena
Configure and Run Glue Crawlers
Access Data in Crawled Tables
Crawl Multiple CSV Files in the Same Folder Path
Merge Data in Multiple Files in the Same Folder Path
Work with Files Having the Exact Same Schema
Exercise: Data Lakes on AWS with S3 and Glue

Data Silos, Lakes, & Streams: Sources, Visualizations, & ETL Operations

Course: 1 Hour, 29 Minutes

Course Overview
Set Up a Redshift Cluster
Create Tables and Load Data From S
Establish a JDBC Connection to Redshift
Crawl Redshift Using a JDBC Connection
Crawl DynamoDB
Configure QuickSight to Visualize Data
Visualize Data in QuickSight
Configure a Job to Perform Extract, Transform, Load
Execute an ETL Operation in Glue
Perform ETL to Back Up Redshift Data in S3 Buckets
Perform ETL to Back Up DynamoDB Data in S3 Buckets
Exercise: Multiple Sources, Visualizations, and ETL