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Big Data Architect Masters Program

A robust and hands-on master’s program to become a certified Big Data Architect with real-world skills in distributed systems and cloud platforms.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you learn in Big Data Architect Masters Program

  • Gain a strong foundation in big data technologies including Hadoop, Spark, and Kafka

  • Master data processing, data engineering, and data warehousing at scale

  • Learn to design real-time, batch, and streaming architectures

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  • Work with tools like Hive, HBase, Pig, Sqoop, Flume, and NoSQL databases

  • Prepare for high-level roles in data architecture, engineering, and analytics

Program Overview

Module 1: Big Data Hadoop Certification Training

⏳ 3 weeks

  • Topics: HDFS, MapReduce, YARN, Hive, Pig, HBase

  • Hands-on: Perform ETL operations using Hadoop ecosystem tools

Module 2: Apache Spark and Scala Certification Training

⏳ 2 weeks

  • Topics: RDDs, DataFrames, Spark SQL, MLlib, Spark Streaming

  • Hands-on: Build real-time and batch processing pipelines using Spark

Module 3: Apache Kafka Certification Training

⏳ 1 week

  • Topics: Kafka architecture, producers, consumers, partitions, brokers

  • Hands-on: Develop Kafka-based event streaming applications

Module 4: Talend for Data Integration

⏳ 2 weeks

  • Topics: ETL basics, Talend components, job design

  • Hands-on: Design Talend jobs for batch data processing and integration

Module 5: Apache Cassandra Certification Training

⏳ 1 week

  • Topics: NoSQL concepts, data modeling, replication, consistency

  • Hands-on: Store and query large-scale structured data with Cassandra

Module 6: MongoDB Certification Training

⏳ 1 week

  • Topics: CRUD, aggregation, indexing, replication, sharding

  • Hands-on: Build flexible schema applications with MongoDB

Module 7: Data Warehousing with Amazon Redshift

⏳ 1 week

  • Topics: AWS Redshift architecture, Spectrum, best practices

  • Hands-on: Create and manage data warehouses on AWS Redshift

Module 8: Azure Data Factory

⏳ 1 week

  • Topics: Data pipelines, triggers, activities, linked services

  • Hands-on: Automate data movement and transformation in Azure

Module 9: Capstone Project

⏳ 2 weeks

  • Topics: End-to-end big data architecture design

  • Hands-on: Implement a real-world project using Hadoop, Spark, and NoSQL

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Job Outlook

  • Big data architecture is among the most in-demand roles in tech

  • Job titles include Big Data Architect, Data Engineer, Cloud Data Engineer

  • Salary potential: $120,000 to $180,000+ depending on experience and location

  • High demand in fintech, healthcare, retail, telecom, and SaaS companies

9.5Expert Score
Highly Recommendedx
This comprehensive Master’s Program equips learners with the full suite of big data tools and architectural design skills required in today’s data-driven enterprises.
Value
9
Price
9.2
Skills
9.4
Information
9.5
PROS
  • Covers modern big data tools including cloud platforms
  • Balanced mix of hands-on labs and theory
  • Strong capstone project enhances portfolio
CONS
  • Prior data engineering or Python/Java experience recommended
  • Fast-paced for learners new to distributed systems

Specification: Big Data Architect Masters Program

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Big Data Architect Masters Program
Big Data Architect Masters Program
Course | Career Focused Learning Platform
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