Course Deliverables:

  • Total 40+ hours of Virtual classroom session- 3 hours on weekend
  • Access to voice based learning content of previous classes for 6 month
  • E-book- big data and Hadoop developer
  • Access to Virtual machines, use cases, test cases during entire training
  • Hands-on learning approach using real life case studies and examples
  • Case study, Exam tips, Reference
  • Trainer support via mail & Telephone
  • Trainer would be industry expert and Cloudera /Horton works certified Professionals
  • Sample questions for preparation
  • Pre and Post assignments
  • Dummy projects for your practice
  • Certification exam anytime within the course duration

Unlock the Power of Data at Scale

The Big Data Analytics Certification Program is a comprehensive, industry-aligned training designed to equip professionals with the skills needed to manage, analyze, and interpret massive datasets using modern big data tools and technologies.

This program offers in-depth knowledge of data engineering, distributed computing (Hadoop, Spark), data visualization, and real-time analytics, helping learners develop the capabilities required to become data-driven decision-makers in today’s digital economy.

Ideal for aspiring data analysts, engineers, and business intelligence professionals, this course bridges the gap between raw data and actionable insights.

Key Learning Outcomes

  • Understand the fundamentals of Big Data and its role in digital transformation
  • Learn Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig)
  • Master Apache Spark for fast, in-memory data processing
  • Analyze structured and unstructured data using real-world datasets
  • Perform data ingestion, cleansing, and transformation at scale
  • Gain skills in NoSQL databases (MongoDB, Cassandra) and real-time processing tools
  • Apply data analytics for predictive modeling and business intelligence

According to industry reports, the global Big Data market is projected to reach $250+ billion by 2025, making certified professionals indispensable in today’s data-centric world.

• Hadoop Fundamentals
• Data Storage: HDFS
• Input Data into HDS
• MapReduce – Analysing Data with Hadoop
• Introduction to Apache Pig
• Basic Data Analysis with Pig
• Advanced Data analysis using Pig
• Introduction to Hive
• Hive Data Management
• Hive Data Storage
• Hive Data Analysis
• Hive Performance Optimization
• Hive metadata integration with Pig
• Oozie for Scheduling jobs
• Introduction to Apache Spark
• Spark SQL and DataFrames

From the course:

  • Be the Big Data Manager that earns $137,870 per year
  • By 2018, the demand for Big Data Managers is going to skyrocket to 1.5 million jobs
  • The annual spending in Big Data will reach $48.6 billion by 2019

Learn to write complex codes in MapReduce on both MRv1 & MRv2 (Yarn) and understand Hadoop architecture.

Perform analytics and learn high-level scripting frameworks Pig & Hive.

Get full understanding of Hadoop system and its advance elements like Oozie, Flume and apache workflow scheduler.

Get familiar with other concepts: Hbase, Zookeeper and Sqoop.

Get hands-on expertise in numerous configurations surroundings of Hadoop cluster.

Learn about optimization & troubleshooting.

Acquire in-depth knowledge on Hadoop architecture by learning about Hadoop Distribution file system (vHDFS one.0 & vHDFS a pair of.0).

Get to work on Real Life Project on Industry standards.

Join ISEL Global’s Big Data Analytics Certification Program and gain the skills, tools, and certification to build intelligent solutions from massive datasets and lead the next generation of data innovation.  
 
A few profiles who are best suited for Big Data Analytics Course are: 
  • IT professionals and software engineers
  • Business and data analysts
  • Data engineers and architects
  • Professionals aiming to enter data science or analytics roles
  • Managers looking to build big data capabilities within their teams
 

Career Opportunities: After completing the certification, learners can explore roles such as:

  • Big Data Analyst
  • Data Engineer
  • Hadoop Developer
  • Data Architect
  • Business Intelligence Consultant
  • Analytics Engineer
 

Industry Demand: Big Data Analytics professionals are highly sought after across industries such as:

  • E-commerce & Retail
  • Banking & Financial Services
  • Telecommunications
  • Healthcare & Life Sciences
  • Manufacturing & Supply Chain
  • Government and Smart Cities

On successful completion of the course and course requisites, the candidate will receive an Internationally Recognized and Lifetime Validity Certified Big Data Analytics Professional Certification.

CBDAP Certification Accredited by the Global Accreditation Certification Board, American Board & UKAC United Kingdom. 

This course offers the Certification Validation Tool for Employers

Your Certified Big Data Analytics Professional Certification Validation Tool can be used by employers, clients, and other stakeholders to validate the authenticity of the Certifications you have received. Using the programming code located on your certification, one can see all your training and certification details online.

About Course Advisor

IT Infrastructure Professional with 25+ years of experience in Azure/ AWS/Google/Oracle Cloud Computing

IT Infrastructure Professional with 25+ years of experience. 15+ years of freelance technical training experience in Azure/ AWS/Google/Oracle Cloud Computing, Cloud Security, Azure DevOps, DevOps Tools, Agile, Docker, Kubernetes, Rancher, Terraform, Configuration Management Tools like Ansible, GenAI, AI, ML, Linux, and Migration technologies. Has managed customers using AWS / Azure / Google/ Hosted Cloud Solutions worldwide.

Has designed multiple technical design documents for Data Center Migration / Consolidation / Assessment and managed Virtual data centers. Have worked on multiple proposals – RFP and RFI related to Data Center Migration / Consolidation / Assessment technologies. Have presented many technical sessions on Cloud, Virtualization, DevOps, Security, center migration tools, and Linux.

Customer Speak