Action Global College

Module 1: Foundations of Introduction to Big Data & Hadoop

This module develops foundations and core concepts for Introduction to Big Data & Hadoop, with emphasis on Hdfs, Mapreduce, and Big Data Ecosystems.

3 lessons

Lesson 1: Core Concepts: Foundations and Core Concepts

50m

This lesson focuses on foundations and core concepts within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 2: Practical Workflow: Foundations and Core Concepts

50m

This lesson focuses on foundations and core concepts within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 3: Guided Practice and Review: Foundations and Core Concepts

50m

This lesson focuses on foundations and core concepts within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Module 2: Tools, Systems, and Setup: Hdfs

This module develops tools, systems, and setup for Introduction to Big Data & Hadoop, with emphasis on Hdfs, Mapreduce, and Big Data Ecosystems.

3 lessons

Lesson 1: Core Concepts: Tools, Systems, and Setup

50m

This lesson focuses on tools, systems, and setup within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 2: Practical Workflow: Tools, Systems, and Setup

50m

This lesson focuses on tools, systems, and setup within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 3: Guided Practice and Review: Tools, Systems, and Setup

50m

This lesson focuses on tools, systems, and setup within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Module 3: Workflow, Security, and Quality

This module develops workflow, security, and quality for Introduction to Big Data & Hadoop, with emphasis on Hdfs, Mapreduce, and Big Data Ecosystems.

3 lessons

Lesson 1: Core Concepts: Workflow, Security, and Quality

50m

This lesson focuses on workflow, security, and quality within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 2: Practical Workflow: Workflow, Security, and Quality

50m

This lesson focuses on workflow, security, and quality within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 3: Guided Practice and Review: Workflow, Security, and Quality

50m

This lesson focuses on workflow, security, and quality within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Module 4: Practical Applications and Troubleshooting

This module develops practical applications and troubleshooting for Introduction to Big Data & Hadoop, with emphasis on Hdfs, Mapreduce, and Big Data Ecosystems.

3 lessons

Lesson 1: Core Concepts: Practical Applications and Troubleshooting

50m

This lesson focuses on practical applications and troubleshooting within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 2: Practical Workflow: Practical Applications and Troubleshooting

50m

This lesson focuses on practical applications and troubleshooting within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 3: Guided Practice and Review: Practical Applications and Troubleshooting

50m

This lesson focuses on practical applications and troubleshooting within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Module 5: Assessment and Certificate Readiness for Introduction to Big Data & Hadoop

This module develops assessment and certificate readiness for Introduction to Big Data & Hadoop, with emphasis on Hdfs, Mapreduce, and Big Data Ecosystems.

3 lessons

Lesson 1: Knowledge Review for Introduction to Big Data & Hadoop

50m

This lesson focuses on assessment and certificate readiness within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 2: Mock Tasks and Performance Checks

50m

This lesson focuses on assessment and certificate readiness within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.

Lesson 3: Final Readiness and Next Steps

50m

This lesson focuses on assessment and certificate readiness within Introduction to Big Data & Hadoop. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.