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Build Batch Data Pipelines on Google Cloud
Coursera
Course
Unknown

Build Batch Data Pipelines on Google Cloud

Google Cloud

Learn to design, build, and optimize robust batch data pipelines on Google Cloud using tools like Dataflow, Apache Beam, and Dataproc Serverless for business needs.

Unknown4 weeksEnglish

About this Course

In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting. Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, moni

What You'll Learn

  • Determine suitability of batch data pipelines for business use cases
  • Design and build scalable batch data pipelines for high-volume processing
  • Implement data quality controls to ensure pipeline integrity
  • Orchestrate and monitor pipeline workflows with error handling and observability

Prerequisites

  • Basic understanding of cloud computing
  • Fundamental data management concepts

Instructors

G

Google Cloud Training

Topics

System Monitoring
Data Validation
Database Management
Data Quality
Scalability
Data Warehousing
Serverless Computing
Data Cleansing
Performance Tuning

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

جودة البيانات
تحويل البيانات
إدارة تدفقات العمل
المعالجة الدفعية
قابلية التوسع
تدفق البيانات
أدوات البيانات الخالية من الخادم
معالجة البيانات
Performance Tuning

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