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Source Systems, Data Ingestion, and Pipelines
Coursera
Course
Unknown

Source Systems, Data Ingestion, and Pipelines

DeepLearning.AI

This course explores source systems, data generation, and ingestion patterns implementing batch and streaming pipelines with cloud tools and infrastructure as code.

Unknown4 weeksEnglish

About this Course

In this course, you will explore various types of source systems, learn how they generate and update data, and troubleshoot common issues you might encounter when trying to connect to these systems in the real world. You’ll dive into the details of common ingestion patterns and implement batch and streaming pipelines. You’ll automate and orchestrate your data pipelines using infrastructure as code and pipelines as code tools. You’ll also explore AWS and open source tools for monitoring your data

What You'll Learn

  • Gather stakeholder needs and translate to system requirements
  • Implement batch and streaming ingestion on AWS
  • Integrate security, data management, and orchestration in data systems

Prerequisites

  • Basic understanding of data workflows and cloud computing

Instructors

J

Joe Reis

Topics

Amazon Web Services
Terraform
Data Integration
Amazon CloudWatch
Data Transformation
Data Pipelines
Infrastructure as Code (IaC)
Apache Airflow
CI/CD
Data Processing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

خدمات أمازون ويب
Terraform
تكامل البيانات
مراقبة سحابية
تحويل البيانات
أنابيب البيانات
البنية التحتية ككود
Apache Airflow
CI/CD
Data Processing

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