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Microsoft Big Data Management and Analytics
Coursera
Professional Certificate
Unknown

Microsoft Big Data Management and Analytics

Microsoft

Learn to design, manage, and analyze big data systems using Microsoft Azure tools to build innovative and advanced analytics solutions.

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About this Course

Unlock the power of data with the Microsoft Big Data Management and Analytics Professional Certificate. Organizations today rely on experts who can design, manage, and optimize big data systems to drive innovation and insight. This program prepares you for roles such as Big Data Engineer, Data Analyst, Data Scientist, or Cloud Solutions Architect, equipping you with skills that are in high demand across industries. Throughout five hands-on courses, you will gain both foundational knowledge and applied experience with Microsoft’s leading big data tools and platforms. You will: Understand big data fundamentals and cloud-based architectures Design and implement data lakes and data warehouses with Azure Data Lake and Synapse Analytics Build ETL/ELT pipelines and streaming solutions using Azure Data Factory, Event Hubs, and Stream Analytics Process and analyze data with Apache Spark, PySpark, and Azure Databricks Create visualizations and dashboards with Power BI and Fabric Copilot Apply machine learning and NLP techniques at scale with PySpark ML and Azure Machine Learning Implement governance and compliance using Microsoft Purview Optimize cost, performance, and scalability for enterprise big data systems To be successful, you should have prior knowledge of Python and basic SQL. By the end, you’ll complete portfolio-ready projects—ranging from architecture diagrams to streaming pipelines and Power BI dashboards—that demonstrate job-ready skills in big data analytics

What You'll Learn

  • Design and manage scalable big data solutions using Microsoft Azure tools
  • Build data pipelines, process large datasets, and apply analytics at scale
  • Implement machine learning and Generative AI in big data environments
  • Apply governance, security, and optimization best practices to enterprise data

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

M

Microsoft

Topics

Data Analysis
Data Science
Design and Product
Computer Science
Apache Spark
Azure Synapse Analytics
Big Data
Cloud Management
Data Governance
Data Lakes

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
التصميم والمنتج
علوم الحاسب
Apache Spark
تحليلات Azure Synapse
البيانات الكبيرة
إدارة السحابة
Data Governance
Data Lakes

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