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Big Data Management and Optimization

本课程是 Microsoft Big Data Management and Analytics 专业证书的一部分

位教师： Microsoft

包含在中

了解更多

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

- Manage big data storage and pipelines with Azure services.
- Process and analyze large datasets using Apache Spark and Databricks.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累 Data Analysis 领域的专业知识

本课程是 Microsoft Big Data Management and Analytics 专业证书专项课程的一部分

在注册此课程时，您还会同时注册此专业证书。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
通过 Microsoft 获得可共享的职业证书

该课程共有5个模块

This course focuses on the enterprise aspects of managing and optimizing big data systems. Learners will implement governance frameworks, configure security controls, and apply data protection strategies. You’ll also master performance optimization, scaling strategies, and cost management practices to ensure enterprise-grade deployments.

By the end of this course, you will be able to: - Implement governance, cataloging, and lineage tracking - Configure security and compliance for big data systems - Optimize queries, caching, and workload performance - Apply scaling and cost optimization strategies in Azure Tools & Software: Microsoft Purview, Azure Active Directory, Azure Key Vault, Azure Monitor, Azure Cost Management Skills: Data governance, Security, Performance optimization, Cost management, Cloud scaling

单元详情

Data Governance Frameworks for Big Data provides comprehensive training on establishing and implementing data governance frameworks tailored to big data environments. Students will learn to develop governance policies, implement metadata management strategies using Microsoft Purview, and configure automated data cataloging and discovery systems. The module covers data quality frameworks, lineage tracking, and compliance management, equipping learners with practical skills to manage distributed data assets effectively while maintaining regulatory compliance and operational excellence across enterprise big data systems.

涵盖的内容

6个视频3篇阅读材料9个作业

6个视频总计43分钟

Data Governance Prevents Enterprise Disasters5分钟
Building Enterprise Data Governance Policies9分钟
Metadata Transforms Data Chaos into Business Assets5分钟
Microsoft Purview Implementation and Configuration9分钟
Data Quality Drives Business Confidence5分钟
Data Quality and Lineage Configuration10分钟

3篇阅读材料总计30分钟

Big Data Governance Framework Design10分钟
Enterprise Metadata Management with Microsoft Purview10分钟
Data Quality and Lineage Framework Implementation10分钟

9个作业总计270分钟

Data Governance Implementation Mastery Graded Quiz30分钟
Data Governance Framework Design30分钟
Data Governance Fundamentals Assessment30分钟
Metadata API Integration and Automation30分钟
Microsoft Purview Catalog Implementation30分钟
Metadata Management Implementation Assessment30分钟
Data Quality Rule Implementation and Monitoring30分钟
Data Quality and Lineage Implementation30分钟
Data Quality and Lineage Management Assessment30分钟

Security Implementation for Big Data Systems focuses on implementing comprehensive security controls for big data environments, including defense-in-depth strategies, authentication and authorization mechanisms, and data protection techniques. Students will learn to design multilayered security architectures, configure identity and access management systems, and implement encryption and privacy controls that meet regulatory requirements while maintaining system performance.

涵盖的内容

7个视频3篇阅读材料9个作业

7个视频总计52分钟

Security Architecture Prevents Catastrophic Data Breaches5分钟
Security Architecture Design and Implementation10分钟
Identity Management at Enterprise Scale5分钟
RBAC Configuration and Management – Part 19分钟
RBAC Configuration and Management – Part 210分钟
Data Protection Enables Compliant Innovation5分钟
Data Protection Implementation9分钟

3篇阅读材料总计30分钟

Big Data Security Architecture Design10分钟
Enterprise Identity and Access Management for Big Data10分钟
Data Protection and Privacy Compliance Framework10分钟

9个作业总计270分钟

Big Data Security Implementation Mastery Graded Quiz30分钟
Security Architecture Design30分钟
Security Architecture Principles Assessment30分钟
Identity Management Automation Scripts30分钟
RBAC Implementation and Management30分钟
Identity and Access Management Assessment30分钟
Data Protection Automation and Compliance30分钟
Data Protection and Privacy Implementation30分钟
Data Protection and Privacy Compliance Assessment30分钟

Performance Optimization Techniques focuses on optimizing the performance of big data systems. Students will learn how to identify and resolve performance bottlenecks, implement caching strategies, apply indexing and partitioning techniques, and optimize query performance in distributed environments. The module prepares learners to ensure efficient processing, fast response times, and robust observability in large-scale data systems, enabling issues to be detected and addressed before they impact users.

涵盖的内容

7个视频3篇阅读材料9个作业

7个视频总计39分钟

Performance Monitoring Prevents System Failures3分钟
Azure Monitor and Log Analytics Configuration7分钟
Query Optimization Transforms User Experience4分钟
Query Performance Analysis and Optimization10分钟
Caching Strategies Deliver Sub-Second Performance5分钟
Caching Implementation and Optimization – Part 17分钟
Caching Implementation and Optimization – Part 24分钟

3篇阅读材料总计30分钟

Big Data Performance Monitoring Framework10分钟
Advanced Query and Processing Optimization10分钟
Advanced Caching and Memory Management10分钟

9个作业总计270分钟

Performance Optimization Mastery Graded Quiz30分钟
Performance Monitoring Implementation30分钟
Performance Monitoring and Analysis Assessment30分钟
Query Optimization and Performance Tuning30分钟
Query Optimization Implementation30分钟
Query and Processing Optimization Assessment30分钟
Caching Implementation and Management30分钟
Caching Strategy Implementation30分钟
Caching and Memory Optimization Assessment30分钟

Scaling Big Data Systems focuses on designing horizontally and vertically scalable big data architectures, implementing automated scaling policies for varying workloads, applying distribution strategies to achieve balanced performance, and managing system growth through effective planning and implementation.

涵盖的内容

7个视频3篇阅读材料9个作业

7个视频总计42分钟

Scaling Strategies Enable Unlimited Growth4分钟
Scaling Strategy Analysis and Planning – Part 16分钟
Scaling Strategy Analysis and Planning – Part 25分钟
Horizontal Scaling Handles Internet-Scale Data4分钟
Sharding and Distribution Implementation9分钟
Auto-scaling Delivers Responsive and Cost-Effective Systems4分钟
Auto-scaling Configuration and Management10分钟

3篇阅读材料总计30分钟

Big Data Scaling Architecture and Strategy10分钟
Horizontal Scaling Implementation Guide10分钟
Auto-scaling and Elasticity Framework10分钟

9个作业总计270分钟

Scaling Strategy Implementation Mastery Graded Quiz30分钟
Scaling Strategy Analysis30分钟
Scaling Principles and Strategy Assessment30分钟
Sharding and Load Balancing Configuration30分钟
Horizontal Scaling Implementation30分钟
Horizontal Scaling Implementation Assessment30分钟
Auto-scaling Policy Implementation and Monitoring30分钟
Auto-scaling Implementation30分钟
Auto-scaling and Elasticity Management Assessment30分钟

Enterprise Big Data Best Practices and Case Studies covers enterprise-grade practices for big data operations, cost optimization strategies for large-scale deployments, and real-world case studies from successful big data implementations across industries. Students will learn operational excellence frameworks, comprehensive cost management approaches, and proven implementation patterns that can be applied to different organizational contexts.