Big Data and Hadoop
Course Overview
This intensive three-month Big Data and Hadoop course is designed to equip you with the knowledge and skills required to handle, process, and analyze vast amounts of data using Hadoop and its ecosystem. Through a combination of online learning, live interactive sessions, and a two-month paid internship with leading Canadian companies, this course will prepare you to work as a Big Data professional, capable of managing large datasets, performing complex analyses, and deriving actionable insights. Whether you are new to the field or looking to advance your skills, this course will provide you with a strong foundation in Big Data technologies.
Course Structure
Month 1: Foundations of Big Data and Hadoop
Week 1: Introduction to Big Data
- Understanding Big Data: Characteristics and challenges
- The role of Big Data in modern business and technology
- Overview of Big Data technologies and frameworks
Week 2: Introduction to Hadoop
- History and evolution of Hadoop
- Hadoop ecosystem components: HDFS, MapReduce, YARN
- Setting up Hadoop environment (local and cloud-based setups)
Week 3: Hadoop Distributed File System (HDFS)
- Architecture and working of HDFS
- Data storage and replication in HDFS
- Hands-on exercises with HDFS commands and operations
Week 4: MapReduce Framework
- Introduction to the MapReduce programming model
- Writing and executing basic MapReduce jobs
- Use cases and applications of MapReduce in Big Data processing
Course Highlights
Month 2: Advanced Big Data Concepts and Hadoop Ecosystem
Week 5: Hadoop Ecosystem and Tools
- Introduction to key tools in the Hadoop ecosystem: Hive, Pig, Sqoop, Flume
- Working with Hive for data warehousing and querying
- Pig scripting for data processing and transformation
Week 6: Data Ingestion and ETL with Hadoop
- Ingesting data into Hadoop using Sqoop and Flume
- Understanding the ETL (Extract, Transform, Load) process in Big Data
- Practical exercises on data ingestion and transformation
Week 7: Real-Time Data Processing with Apache Spark
- Introduction to Apache Spark and its integration with Hadoop
- Spark programming fundamentals (RDDs, DataFrames, Spark SQL)
- Developing and running Spark jobs for real-time data processing
Week 8: NoSQL Databases and Hadoop
- Introduction to NoSQL databases (HBase, Cassandra, MongoDB)
- Integrating NoSQL databases with Hadoop
- Use cases for NoSQL databases in Big Data scenarios
Month 3: Practicum and Internship
Week 9-12: Paid Internship with Canadian Companies
- Placement in a Partnered Company: Apply your Big Data and Hadoop skills in a real-world environment, working with a Canadian company on live data projects.
- Mentorship and Guidance: Receive continuous support from both the academy and your internship supervisor, ensuring a productive and educational experience.
- Project Completion and Evaluation: Contribute to data processing, analysis, and reporting tasks, culminating in a final evaluation of your work.
Final Week: Capstone Project Presentation
- Capstone Project: Design and present a comprehensive Big Data project that integrates Hadoop and other ecosystem tools, showcasing your ability to process and analyze large datasets.
- Presentation and Feedback: Share your project with peers and instructors, receiving constructive feedback to enhance your Big Data expertise.
- Career Development Workshop: Participate in sessions focused on building a professional portfolio, resume writing, and interview preparation specific to Big Data roles.
Course Features
Comprehensive Curriculum: Covers every aspect of Big Data processing and analysis, with a strong focus on Hadoop and its ecosystem.
High Internship Placement Rate: Secure a paid internship with Canadian companies, where you’ll gain hands-on experience working on real-world Big Data projects.
Live Interactive Sessions: Engage in live classes led by industry experts, allowing for real-time feedback and collaborative learning.
Hands-On Projects: Complete practical assignments and projects that mimic real-world Big Data scenarios, building a strong portfolio.
In-Depth Hadoop Training: Gain expertise in Hadoop’s core components, including HDFS, MapReduce, and YARN, essential for processing large datasets.
Advanced Tool Integration: Learn to work with key tools in the Hadoop ecosystem, including Hive, Pig, and Apache Spark, for data processing and analysis.
Real-Time Data Processing: Develop skills in real-time data processing using Apache Spark, a critical component in modern data processing pipelines.
NoSQL Database Integration: Understand how to integrate and use NoSQL databases with Hadoop for efficient data storage and retrieval in Big Data applications.
Career Support: Benefit from dedicated career services, including job placement assistance and networking opportunities in the Big Data field.
Strong Alumni Network: Join a growing community of successful Big Data professionals who have launched or advanced their careers with the help of our program.
Achievements Highlights
Successfully delivered a comprehensive, hands-on curriculum designed in collaboration with leading industry experts to ensure students are equipped with the most up-to-date skills and knowledge in web development.
Successfully delivered a comprehensive, hands-on curriculum designed in collaboration with leading industry experts to ensure students are equipped with the most up-to-date skills and knowledge in web development.
Achieved a 95% placement rate for students in paid internships with top Canadian tech companies, providing real-world experience and invaluable industry connections.
Graduates of our program have gone on to secure positions at renowned tech companies across Canada, with many receiving job offers directly from their internship placements.
Our students consistently produce innovative and functional web applications as their capstone projects, demonstrating mastery of both front-end and back-end development.
Built a robust network of industry professionals who actively mentor our students, offering guidance and support throughout their learning journey and beyond.
Provided extensive career development resources, resulting in a high success rate of students securing full-time employment within three months of course completion.
Gained recognition from leading tech companies in Canada for producing highly skilled and job-ready web developers who meet industry demands.
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