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