# Big Data > Join Edoxi’s 60-hour Big Data Course online. Master Hadoop, Apache Spark, and real-time data processing, and get certified. Enrol now! ## Course Details - Rating: 4.9/5 (50 reviews) - Category: Software & Technology - Sub-Category: Emerging Technology ## Course Introduction Edoxi’s 60-hour online Big Data Course gives you hands-on training in the complete Hadoop ecosystem, HDFS, MapReduce, Apache Spark, and real-time data processing technologies. Gain practical experience with enterprise-grade data platforms, learn distributed computing for large-scale data processing, and start a data engineering career. Enrol now! ## Course Overview - Delivery Modes: Online - Course Duration: 60 Hours - Corporate Days: 7 Days - Learners Enrolled: 50+ - Modules: 11 ## What Do You Learn from Edoxi's Big Data Training **Big Data Fundamentals and Ecosystem** You learn the concepts of Big Data's 5 Vs and understand Hadoop's core architecture. You also explore the entire ecosystem spanning batch processing, streaming technologies, and distributed computing frameworks. **Hadoop & HDFS Implementation** You learn to configure and manage Hadoop clusters while performing essential HDFS operations. You also learn to implement data replication strategies for fault tolerance and execute administrative commands through practical exercises. **MapReduce and Data Processing** You learn to develop efficient MapReduce applications for parallel processing of large-scale datasets. You learn to create custom Mapper and Reducer components that handle complex data transformation requirements. **Advanced Analytics with Hive and Pig** You learn to transform and analyse massive datasets using HiveQL and Pig Latin scripting languages. You also learn to build data warehousing solutions on distributed systems with joins, aggregations, and optimised query techniques. **NoSQL Database Management with HBase** You learn to design a schema and implement NoSQL solutions for storing billions of rows with HBase. You also learn to perform efficient data retrieval operations while integrating HBase with Hadoop's ecosystem components. **Real-time Data Processing** You learn to construct streaming data pipelines using Apache Kafka for message handling and data collection. You also learn to implement Spark Streaming applications that deliver immediate business insights from real-time data. ## About This Course ## About Our Online Big Data Course Edoxi’s 60-hour online Big Data course is designed for professionals who want to master large-scale data processing, analytics, and distributed computing. This Big Data training is ideal for those looking to advance in data-driven industries and build technical expertise across modern data platforms. Throughout the Big Data certification course, you participate in hands-on lab sessions using virtual Hadoop clusters, Spark notebooks, and Kafka pipelines. You work on real-world scenarios such as e-commerce analytics, real-time stock data streaming, and banking ETL workflows. These projects help you apply each concept immediately and strengthen your practical problem-solving skills. By the end of the Big Data certification, you gain the ability to design and implement complete Big Data architectures. You learn to work with industry tools like HDFS, MapReduce, Hive, Pig, HBase, Sqoop, Flume, and Kafka. These skills are in high demand across finance, healthcare, telecom, and e-commerce sectors, preparing you for roles such as Big Data Engineer, ETL Developer, Data Integration Specialist, and Hadoop Administrator. Read More ## Key Features of Edoxi's Big Data Training **Hadoop Cluster Simulation Environment** You can access fully configured virtual Hadoop environments. Here you can practice cluster management, file operations and distributed processing techniques. **Scenario-based Troubleshooting Exercises** You can participate in realistic problem-solving activities that simulate actual Big Data challenges faced by organisations during implementation. **E-commerce Analytics Pipeline Project** You can build an end-to-end data processing system that collects, processes and analyses customer behaviour data from an e-commerce platform. **Real-time Stock Ticker Application** You can develop a streaming data application using Kafka and Spark Streaming that processes financial market data in real-time. **Comprehensive Study Materials Package** You can receive detailed course slides, technical cheat sheets, lab guides, sample datasets and curated reference links for continued learning after the course. **Banking ETL & Reporting System** You can create a complete extract, transform, and load workflow for banking data with integrated reporting capabilities. ## Who Can Join Our Online Big Data Course **IT Professionals and Software Developers** If you are a tech specialist seeking to expand skills into high-demand Big Data technologies. **Data Analysts and Database Administrators** If you are a database professional transitioning to large-scale distributed data processing systems. **ETL Developers and Data Integration Specialists** If you are an integration expert who wants to upgrade your skills to handle enterprise-level data volumes. **Computer Science and IT Graduates** If you are a recent graduate looking to specialise in cutting-edge data technologies. **Business Intelligence Professionals** If you are a BI specialist expanding capabilities to include massive-scale data processing. **Career Transitioners** If you are a professional with basic technical knowledge who wants to enter the data field. ## Big Data Course Modules ### Module 1: Introduction to Big Data **Chapter 1.1: Understanding Big Data** - Lesson 1.1.1: The Five Vs of Big Data - Lesson 1.1.2: Traditional Systems vs Big Data Systems - Lesson 1.1.3: Industry Applications and Case Studies - Lesson 1.1.4: Challenges in Big Data Management ### Module 2: Big Data Architecture & Ecosystem **Chapter 2.1: Core Components of Big Data** - Lesson 2.1.1: Overview of Big Data Components - Lesson 2.1.2: Batch, Real-time, and Streaming Architectures - Lesson 2.1.3: Introduction to the Hadoop Ecosystem - Lesson 2.1.4: Big Data Workflows and Pipelines ### Module 3: Hadoop & HDFS Fundamentals **Chapter 3.1: Working with Hadoop and HDFS** - Lesson 3.1.1: Hadoop Architecture Overview - Lesson 3.1.2: HDFS Components: Namenode, Datanode, and Block Structure - Lesson 3.1.3: Data Replication and Fault Tolerance in HDFS - Lesson 3.1.4: HDFS Commands and Hands-on Operations ### Module 4: MapReduce Programming **Chapter 4.1: Programming with MapReduce** - Lesson 4.1.1: MapReduce Architecture and Data Flow - Lesson 4.1.2: Writing Mapper and Reducer Classes - Lesson 4.1.3: Input/Output Formats and Counters in MapReduce - Lesson 4.1.4: Hands-on Projects: WordCount, Sorting, Joins ### Module 5: Hive – Data Warehousing on Hadoop **Chapter 5.1: Working with Hive** - Lesson 5.1.1: Hive Architecture and Metastore - Lesson 5.1.2: HiveQL: Creating, Loading, and Querying Tables - Lesson 5.1.3: Working with Partitions and Buckets - Lesson 5.1.4: Hive Joins and Aggregate Functions - Lesson 5.1.5: Hands-on Lab with Datasets ### Module 6: Pig – Scripting for Big Data **Chapter 6.1: Data Processing with Pig** - Lesson 6.1.1: Introduction to Pig and Pig Latin - Lesson 6.1.2: Data Types and Relations in Pig - Lesson 6.1.3: Performing ETL Operations using Pig - Lesson 6.1.4: Pig Execution Modes and Use Cases ### Module 7: HBase – NoSQL Database **Chapter 7.1: Storing Big Data with HBase** - Lesson 7.1.1: Overview of NoSQL Databases - Lesson 7.1.2: HBase Architecture and Schema Design - Lesson 7.1.3: CRUD Operations in HBase - Lesson 7.1.4: Integrating HBase with Hive and MapReduce ### Module 8: Sqoop & Flume – Data Ingestion Tools **Chapter 8.1: Data Ingestion Strategies** - Lesson 8.1.1: Using Sqoop for RDBMS and Hadoop Data Transfer - Lesson 8.1.2: Using Flume for Collecting Log and Stream Data - Lesson 8.1.3: Setting Up Data Ingestion Pipelines - Lesson 8.1.4: Hands-on Exercises with Sqoop and Flume ### Module 9: Apache Spark – In-Memory Data Processing **Chapter 9.1: Real-time Analytics with Spark** - Lesson 9.1.1: Overview of the Spark Ecosystem - Lesson 9.1.2: RDDs: Transformations and Actions - Lesson 9.1.3: DataFrames and Spark SQL - Lesson 9.1.4: Spark Streaming Concepts - Lesson 9.1.5: Hands-on: ETL, WordCount, and Streaming ### Module 10: Apache Kafka – Real-Time Data Streaming **Chapter 10.1: Streaming Data with Kafka** - Lesson 10.1.1: Kafka Architecture: Producers, Brokers, and Consumers - Lesson 10.1.2: Kafka Topics, Partitions, and Offsets - Lesson 10.1.3: Integrating Kafka with Spark Streaming - Lesson 10.1.4: Hands-on: Building a Simple Streaming Pipeline ### Module 11: Big Data Project & Best Practices **Chapter 11.1: Capstone Project and Career Preparation** - Lesson 11.1.1: Designing an End-to-End Data Pipeline - Lesson 11.1.2: Data Ingestion, Storage, and Analysis - Lesson 11.1.3: Data Visualisation using Power BI/Tableau - Lesson 11.1.4: Cluster Management and Security Best Practices - Lesson 11.1.5: Career Guidance and Mock Interviews ## Lab Activities and Practical Sessions in Big Data Training Edoxi’s 60-hour online Big Data course features extensive hands-on labs where you can work with real-world data processing environments across the Hadoop and Spark ecosystems. These hands-on exercises include **Data Ingestion using Sqoop and Flume** In this activity, you learn to import structured and unstructured data from multiple sources into the Hadoop ecosystem for further processing. **Data Storage on HDFS and HBase** This activity helps you learn to store and manage large datasets across distributed nodes, ensuring scalability, fault tolerance, and high data availability. **Data Processing using Spark or Hive** This hands-on session helps you learn to perform large-scale data transformation, aggregation, and analysis using distributed computing frameworks. **Data Visualisation using Power BI or Tableau** During this activity, you learn to convert analytical results into interactive dashboards and reports for clear business insights. **Reporting and Presentation** This activity helps you learn how to document the complete data pipeline and present findings through structured reports and demonstrations. ## Career Opportunities After the Big Data Certification Big Data Engineer, Data Analyst, Hadoop Developer, Hadoop Administrator, Spark Developer, Data Integration Engineer, Machine Learning Engineer, Business Intelligence Engineer, Data Architect, ETL Developer ## Big Data Training Options **Live Online Training** - 60 Hours of Live Online Training - Virtual Lab Environment Access - Interactive Coding Demonstrations - Flexible Scheduling Options **Corporate Training** - 7 Days of Corporate Training - Customised Curriculum for Teams - Sector-Specific Case Studies - Enterprise Implementation Focus - Flexible Delivery Options (On-Site / Edoxi Office / Hotel) - Fly-Me-a-Trainer Option ## How To Get Certified in The Big Data Course Here’s a four-step guide to becoming a certified Big Data professional. 1. Join Edoxi’s 60-Hour Online Big Data Training. 2. Attend training led by an industry-expert trainer. 3. Complete hands-on activities and post-course assessments. 4. Get Edoxi’s Big Data Course Completion Certificate. ## Why Choose Edoxi for Online Big Data Training? Edoxi’s 60-hour online Big Data Course gives you a hands-on experience in large-scale data processing and analytics, with professional tools and personalised guidance. Here’s why you should choose Edoxi **Industry-Aligned Curriculum** In Edoxi’s Big Data course, you learn from a curriculum that is continuously updated to match the latest advancements in Hadoop, Spark, and the complete data processing lifecycle. This ensures you stay aligned with current industry standards. **Expert Trainers with Real-World Experience** You benefit from trainers who have hands-on, industry-level implementation experience across multiple sectors. Their practical insights help you understand how Big Data concepts work in real environments. **Job-Ready Project Portfolio** As you progress through Edoxi’s Big Data course, you can complete multiple end-to-end projects that mirror real business scenarios. These projects help you build a strong portfolio that showcases your practical capabilities. **Small-Group Learning for Personal Attention** With Edoxi’s small-group learning environment, you receive personalised guidance and detailed feedback. This ensures you refine your data processing workflows and system configurations with expert support. **Trusted Corporate Training Provider** By choosing Edoxi, you join a learning community trusted by government bodies and private enterprises across the UAE and Middle East. The training you receive is shaped by real organisational requirements. **Global Presence with Strategic Locations** Edoxi’s presence in London, the UAE, Qatar, Sydney and Kuwait gives you access to a globally influenced curriculum. ## Frequently Asked Questions **Q: What programming experience do I need before joining Edoxi’s Big Data course?** A: You only need basic programming knowledge in any language. Edoxi provides extra resources for beginners, focusing on Java and Python concepts relevant to Big Data training. **Q: You only need basic programming knowledge in any language. Edoxi provides extra resources for beginners, focusing on Java and Python concepts relevant to Big Data training.** A: This Big Data certification course is best suited for you if you have basic programming knowledge and database fundamentals. Some familiarity with SQL and at least one programming language (Java, Python, or Scala) helps you grasp MapReduce concepts and Spark applications more easily. **Q: Can I set up my own Hadoop cluster after Edoxi’s Big Data certification course?** A: Yes, you learn to configure and manage Hadoop clusters, including HDFS operations, node management, and data replication. This enables you to set up your own development environment. **Q: What job opportunities can I get after completing Edoxi’s Big Data training?** A: After the Big Data certification, you can pursue roles like Big Data Developer, Hadoop Administrator, ETL Developer, and with experience, advance to Big Data Engineer or Data Architect positions globally. **Q: Do I need to know SQL before starting Edoxi’s Big Data course?** A: Basic SQL knowledge helps, especially for Hive and Spark SQL modules. Edoxi includes a refresher on SQL concepts as they apply to Big Data technologies. **Q: Can Edoxi customise the Big Data training for our corporate team?** A: Absolutely. Edoxi offers tailored corporate Big Data certification programs, focusing on your industry’s challenges and data needs, with flexible schedules for your team. **Q: Do I need to bring my own laptop for Edoxi’s Big Data training?** A: You can bring your laptop, but Edoxi provides fully configured workstations for classroom sessions. For online Big Data certification courses, Edoxi guides you to set up all necessary software and connections. **Q: How does Edoxi’s Big Data course compare to cloud-based Big Data solutions?** A: Edoxi covers core Big Data concepts suitable for both on-premises and cloud setups. The course also includes modules on integrating Hadoop-based technologies with major cloud providers. **Q: Can I handle real-time data processing after Edoxi’s Big Data training?** A: Yes, the Kafka and Spark Streaming modules teach you to build applications that process streaming data with low latency, preparing you for real-time data challenges. **Q: Is this Big Data certification course suitable for someone without an IT background?** A: Yes, even if you are from a non-IT background. With analytical thinking and basic computer skills, you can follow Edoxi’s step-by-step approach and succeed in the Big Data certification. **Q: How is Edoxi’s Big Data training different from free online tutorials?** A: Edoxi provides a structured curriculum with expert guidance, hands-on practice in configured environments, and real-world projects, covering everything free tutorials often miss. **Q: What salary can I expect globally after completing Edoxi’s Big Data course?** A: After this Big Data certification course, you can expect entry-level roles starting around $60,000–$70,000 per year. With experience, positions like Big Data Engineer or Data Architect can offer $100,000+ annually, depending on the region. ## Big Data Course Outcomes and Career Opportunities Completing Edoxi’s 60-hour online Big Data Training Course equips you with the technical expertise required to work with large-scale data systems and advance your career in the data engineering domain. Here are the Major Course Outcomes - You understand the core concepts of Big Data and the Hadoop ecosystem. - You learn to manage Hadoop clusters and perform key HDFS operations. - You develop MapReduce programs for large-scale data processing. - You work with Hive, Pig, HBase, Sqoop, and Flume for end-to-end data workflows. - You build real-time data pipelines using Kafka and Spark Streaming. - You perform data analysis and transformation using Spark, Hive, and other tools. ## Trainer - Name: Athar Ahmed Athar Ahmed is a skilled technical trainer with more than 15 years of experience in both educational institutions and the software development business. Athar specialises in technology stacks including Advanced Excel, Python, Power BI, SQL, .NET, Java, PHP, Full Stack Web Development, Agile, Data Science, Artificial Intelligence, Data Analytics, and DevOps. He holds several certifications and licenses that underscore his expertise in the field. These include MCTS (Microsoft Certified Technology Specialist), MCP (Microsoft Certified Professional), and a Certificate in Artificial Intelligence and Machine Learning for Business. He also completed a Certificate Course in Unix, C++, and C# from CMC Academy, among other qualifications. Athar also holds a Bachelor of Computer Applications (BCA) and a Master of Computer Applications (MCA). Additionally, he earned a Master of Technology (M. Tech) in Machine Learning and Artificial Intelligence, as well as a Doctorate of Philosophy (PhD) in Computer Applications. ## Enrol in This Course - Course URL: https://www.edoxi.com/big-data-course - Phone: +971 43801666 - Email: info@edoxi.com