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
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
Specification: Big Data Architect Masters Program
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