Hadoop Batch

Taming Big Data with Hadoop's Core The volume, velocity, and variety of modern data have outpaced traditional databases. Hadoop remains the foundational, scalable framework for reliable, cost-effective storage and massive batch processing of Big Data. This comprehensive training dives into the core components - HDFS (Hadoop Distributed File System) and MapReduce which form the bedrock of the entire Big Data ecosystem. You will gain the critical skills needed to manage massive clusters, understand data locality, and architect solutions that reliably process petabytes of data, preparing you for the demands of scalable data engineering in any industry.

Hands-On Expertise with MapReduce and Ecosystem Tools This intensive program provides practical, hands-on experience in developing, debugging, and optimizing traditional MapReduce jobs. You will learn how to design custom mappers and reducers to solve complex analytical challenges efficiently. Beyond MapReduce, the course covers essential ecosystem tools like YARN (Yet Another Resource Negotiator) for resource management and the fundamentals of high-level abstractions like Hive and Pig (if relevant to your specific offering, often replacing raw MapReduce). This focus ensures you can ingest, transform, and aggregate vast datasets with proficiency and maximize cluster utilization for batch workloads.

Launching Your Data Engineering Career Proficiency in Hadoop is a cornerstone requirement for Data Engineering and Big Data Architecture roles across e-commerce, finance, and telecommunications. This course is specifically designed to accelerate your career, providing you with the necessary expertise to manage fault-tolerant data storage and implement large-scale data processing pipelines. By mastering the core batch capabilities of Hadoop, you will position yourself as a high-value asset capable of building the reliable data infrastructure that powers organizational intelligence and advanced analytics.

Target Audience:-
- Aspiring Data Engineers
- BI/ETL Developers
- Data Analysts & Scientists
- IT Architects & Administrators

Learning Outcomes:-
- Interact proficiently with HDFS, understanding data storage, replication, and fault tolerance
- Write, execute, and debug custom MapReduce programs to perform complex batch data processing
- Understand YARN's role in resource management and scheduling different types of applications across the Hadoop cluster
- Gain foundational experience with high-level tools to execute SQL-like queries or scripts over HDFS data
- Apply best practices for data locality, input/output formats, and compression to improve MapReduce job execution time
- Grasp the components of a Hadoop cluster and their interaction in a batch environment

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas