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