Big Data Analysis Certification Course || Chrono Learn

Course Details

Data Science
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Big Data Analysis Certification Course

By Chronolearn
11/May/2025
0 Students

Course Description

The Big Data Analysis Certification Course is designed to provide professionals, analysts, and decision-makers with a comprehensive understanding of big data concepts, tools, and strategic applications. This course explores how to harness vast volumes of structured and unstructured data to gain actionable insights and drive business transformation. Covering the entire data lifecycle—from data collection and storage to processing, visualization, and application—participants will gain hands-on knowledge of key technologies like Hadoop, Hive, NoSQL, and more. The curriculum is enriched with real-world scenarios and modern best practices to ensure industry relevance in today's data-driven economy.

What You’ll Learn

By the end of this course, you will be able to:

Understand the core principles and characteristics of Big Data, including the 5Vs.
Identify key data sources and understand the complete big data lifecycle.
Develop a strategic approach to implementing big data in business environments.
Select and evaluate appropriate technologies for storing and managing large datasets.
Work with unstructured data using tools such as Apache Hadoop, Hive, and NoSQL databases.
Navigate challenges related to unstructured data storage, integration, and governance.
Align big data initiatives with business goals to support smarter decision-making.
Stay informed on emerging trends like real-time analytics, edge computing, and cloud-based data solutions.

Course Curriculum

Introduction to Big Data and Its Ecosystem
- Defining Big Data: Concepts and Characteristics (Volume, Variety, Velocity, Veracity, and Value)
- The Importance of Big Data in Today’s Digital Economy
- Key Sources of Big Data: Social Media, Sensors, Logs, IoT Devices, Transactions, etc.
- Overview of the Big Data Analytics Lifecycle: Collection to Decision-Making
- Emerging Trends: Real-Time Analytics and Edge Computing

Strategic Planning for Big Data Implementation
- Understanding Bottom-Up vs. Top-Down Approaches
- Identifying and Prioritizing Business Use Cases
- Aligning Data Initiatives with Long-Term Business Goals
- Choosing the Right Technology Stack Based on Needs
- Building a Scalable Data Strategy

Executing a Big Data-Driven Business Transformation
- Identifying Organizational Data Challenges
- Mapping and Evaluating Data Sources (Structured & Unstructured)
- Engaging Stakeholders Across Departments
- Selecting Data with High Business Impact
- Leveraging Data for Competitive Advantage

Data Storage and Management for Unstructured Information
- Introduction to Unstructured Data and Its Value
- Tools and Technologies for Storage:
  - Apache Hadoop Ecosystem
  - Microsoft HDInsight
  - Apache Hive for Querying Large Datasets
  - PolyBase for Integrating Relational and Non-Relational Data
  - Sqoop for Data Transfer Between Hadoop and RDBMS
  - Presto for Distributed SQL Querying
  - NoSQL Databases (MongoDB, Cassandra)
  - Leveraging Microsoft Excel in Hybrid Workflows

Governance and Optimization of Unstructured Data
- Key Challenges in Managing Unstructured Data
- Data Discovery: Identifying and Tagging Relevant Data
- Preprocessing Techniques for Storage Readiness
- Evaluating and Choosing Scalable Storage Solutions
- Integrating with Data Lakes and Cloud-Based Repositories

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