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Data Storage and Management for Big Data
This course provides a comprehensive overview of data storage and management approaches for big data. Learners will explore structured, semi-structured, and unstructured data formats, compare SQL and NoSQL database technologies, and implement data lakes and data warehouses. The course includes working with various file formats and understanding the differences between batch and real-time processing approaches.
Course Learning Objectives:
By the end of this course, you will be able to:
- Compare and implement SQL and NoSQL database solutions for different big data scenarios
- Work effectively with structured, semi-structured, and unstructured data formats
- Design and implement data lakes and data warehouses for big data workloads
- Build data pipelines using ETL and ELT approaches with Azure Data Factory
- Differentiate between batch and real-time processing methodologies and implement appropriate solutions
Duration
3 Months
Institution
Microsoft
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Microsoft.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$189
Total Est. Investment
$189
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Data Storage and Management for Big Data program at Microsoft are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.