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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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Aws course contents ideas to learn

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What you are going to learn in AWS course is matter. So before you take the course just look at the course contents on aws. 


aws concepts
AWS Course Contents for beginners

What you will get after taking Aws course
  • Recognize terminology and concepts as they relate to the AWS platform
  • Navigate the AWS Management Console
  • Understand the security measures AWS provides
  • Differentiate AWS Storage options and create an Amazon Simple Storage Service (S3) bucket
  • Recognize AWS Compute and Networking options and use Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Storage (EBS)
  • Describe Managed Services and Database options
  • Use Amazon Relational Database Service (RDS) to launch an application
  • Identify Deployment and Management options
Intended Audience
  • Individuals responsible for articulating the business benefits of AWS services
  • Any individual who is new to AWS
  • SysOps Administrators and Developers who are interested in using AWS services
This course includes activities that will allow you to test new skills and apply knowledge through hands-on lab activities.

Aws Course Outline

Module 1: Introduction; History to AWS

  • Navigate the AWS Management Console
  • Recognize AWS Global Infrastructure
  • Describe the security measures AWS provides

Module 2: AWS Storage & Content Delivery

  • Identify key AWS storage options
  • Describe Amazon EBS
  • Create an Amazon S3 bucket and manage associated objects

Module 3: Compute Services & Networking

  • Identify the different AWS compute and networking options
  • Describe an Amazon Virtual Private Cloud (VPC)
  • Create an Amazon EC2 instance
  • Verify how to use Amazon EBS

Module 4: AWS Managed Services & Database

  • Describe Amazon DynamoDB
  • Verify key aspects of Amazon RDS
  • Execute an Amazon RDS drive application

Module 5: Deployment and Management

  • Identify AWS CloudFormation
  • Describe Amazon CloudWatch metrics and alarms
  • Describe Amazon Identity and Access Management (IAM)

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