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Item number: 111744997

Data Silos Lakes and Streams Training

Item number: 111744997

Data Silos Lakes and Streams Training

159,00 192,39 Incl. tax

Data Silos Lakes and Streams Training Award-winning E-Learning course Extensive interactive videos with spoken text Certified teachers Practical exercises Certificate.

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  • Award Winning E-learning
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Data Silos Lakes and Streams E-Learning Training

Order this amazing, award-winning Data Silos Lakes and Streams E-Learning Training course online, 1 year 24/7 access to extensive interactive videos, speeches, hands-on tasks and progress monitoring. After the course you will receive a certificate of attendance.

Course content

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
Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 3:59 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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