# Big Data

> Join Edoxi’s 60-hour Big Data Training in Qatar. Learn big data fundamentals, data processing, analytics tools, and real-world applications. Enrol now!

## Course Details
- Rating: 4.9/5 (50 reviews)
- Location: Doha, Qatar
- Category: Software Development
- Sub-Category: Emerging Technology

## Course Introduction
Edoxi’s 60-hour Big Data Training in Qatar equips you with practical, industry-focused data analytics and big data engineering skills. The course provides essential knowledge of big data fundamentals, data processing frameworks, analytics tools, and data-driven decision-making to Qatar’s market needs. You gain stronger technical competence and a clear understanding of end-to-end big data workflows. Enrol Now!

## Course Overview
- Delivery Modes: Online, Classroom
- Course Duration: 60 Hours
- Corporate Days: 7 Days
- Learners Enrolled: 50+
- Modules: 11

## What Do You Learn from Our Big Data Course in Qatar?

**Big Data Fundamentals and Ecosystem**
You learn the core concepts of Big Data, including the 5 Vs and Hadoop’s architectural foundations. You also explore the Big Data ecosystem, covering 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 practise data replication, fault tolerance methods, and administrative commands through hands-on exercises.

**MapReduce and Data Processing**
You learn to develop MapReduce programs for parallel processing of large-scale datasets. You also create custom Mapper and Reducer components to handle complex data transformation tasks.

**Advanced Analytics with Hive and Pig**
You learn to analyse and transform massive datasets using HiveQL and Pig Latin. You also build distributed data warehousing solutions using joins, aggregations, and query optimisation techniques.

**NoSQL Database Management with HBase**
You learn to design schemas and implement NoSQL databases using HBase for large-volume data storage. You also perform efficient data retrieval and integrate HBase with the Hadoop ecosystem.

**Real-Time Data Processing**
You learn to build real-time data pipelines using Apache Kafka for data ingestion and messaging. You also implement Spark Streaming applications to generate immediate, actionable business insights.

## How To Get the Big Data Course Certification in Qatar?
Here’s a four-step guide to becoming a certified Big Data professional

1. Join Edoxi’s Big Data course in Qatar
2. Complete instructor-led live interactive sessions and lab exercises
3. Pass the internal assessments and practical project evaluations
4. Receive Edoxi’s Big Data Course Completion Certificate.

## Why Choose Edoxi for the Big Data Course in Qatar?
Edoxi’s Big Data Training in Qatar equips your workforce with practical skills in Hadoop, Spark, and the entire data processing lifecycle. Here’s why organisations and professionals in Qatar prefer our training:


**Industry-Aligned Curriculum**
Our course content is regularly updated to reflect the latest developments in Hadoop, Spark, and related Big Data technologies, covering the complete data processing lifecycle.

**Expert Trainers with Industry Experience**
Our instructors bring extensive real-world implementation experience across various sectors, delivering practical insights beyond theoretical knowledge.

**Job-Ready Project Portfolio**
You complete multiple end-to-end Big Data projects that simulate real business scenarios, helping you build a comprehensive portfolio that demonstrates your capabilities to employers.

**Small-Group Learning Environment**
Limited class sizes ensure personalised attention, with detailed feedback on your data workflows and system configurations, accelerating skill development and confidence.

**Trusted Provider of Corporate Training**
We deliver specialised training to government bodies and private enterprises across the UAE and Middle East, customised to meet specific organisational requirements.

**Global Presence with Strategic Locations**
Edoxi operates in London, the UAE, Qatar, and Kuwait, enriching our curriculum with international perspectives while remaining aligned with regional market needs.

## Frequently Asked Questions

**Q: What programming experience do I need before taking Edoxi’s Big Data course in Qatar?**
A: Basic programming knowledge in any language is helpful but not mandatory. Our Big Data training in Qatar provides additional resources for beginners, focusing on Java and Python concepts relevant to Big Data processing.

**Q: Do I need to know SQL before starting our Big Data course?**
A: Basic SQL knowledge is helpful, especially for Hive and Spark SQL components. However, the Big Data certification course includes a refresher on SQL concepts as they apply to Big Data technologies.

**Q: Is this course suitable for someone without an IT background?**
A: Yes. Professionals from non-IT backgrounds can succeed in our Big Data training in Qatar if they have analytical thinking skills and basic computer literacy. Our step-by-step approach accommodates diverse learning backgrounds.

**Q: Will I be able to set up my own Hadoop cluster after completing Edoxi’s Big Data course?**
A: Yes. You’ll learn to configure and manage Hadoop clusters, including HDFS operations, node management, and data replication, enabling you to set up your own development environment for real-world Big Data projects.

**Q: Will I be able to handle real-time data processing after Edoxi’s Big Data certification course?**
A: Yes. Modules on Kafka and Spark Streaming specifically address real-time data processing, teaching you to build applications that handle streaming data with low latency.

**Q: How does Edoxi’s Big Data course in Qatar compare to cloud-based Big Data solutions?**
A: The course covers core Big Data concepts that apply to both on-premises and cloud implementations. Additional modules explain how Hadoop-based technologies integrate with major cloud providers.

**Q: Can I customise Edoxi’s Big Data training for our corporate team?**
A: Absolutely. We offer tailored Big Data training programs that focus on your industry’s specific challenges and data requirements, with flexible scheduling options for your team.

**Q: Do I need to bring my own laptop for our Big Data course in Qatar?**
A: While you can use your own laptop, Edoxi provides fully configured workstations for classroom sessions. For online training, we assist with setting up the necessary software and connections.

**Q: What job opportunities can I expect after completing Edoxi’s Big Data certification course?**
A: Graduates typically qualify for roles such as Big Data Developer, Hadoop Administrator, ETL Developer, and with experience, can progress to Big Data Engineer and Data Architect positions in Qatar.

**Q: What is the expected salary after completing Edoxi’s Big Data course in Qatar?**
A: Professionals with Big Data certification can expect competitive salaries in Qatar. Entry-level roles start around QAR 12,000–15,000 per month, while experienced Big Data Engineers and Architects can earn QAR 25,000–40,000+ per month, depending on skills and industry.

## About This Course
## About Our Big Data Training in Qatar

Edoxi’s Big Data Training in Dubai equips you with practical skills in large-scale data processing and analytics. Our course is designed for individuals aiming to build strong capabilities in data-driven technologies across multiple industries.

You learn the complete Hadoop ecosystem and core Big Data frameworks through a structured, hands-on curriculum. Our training builds the technical competence required in finance, healthcare, e-commerce, and telecommunications environments.

Through interactive labs and guided sessions, you practise working with virtual Hadoop clusters, Spark notebooks, and Kafka pipelines. Each exercise applies Big Data tools to real-world scenarios such as e-commerce analytics, real-time stock data processing, and banking ETL workflows.

The course emphasises industry best practices in data architecture, scalability, and performance optimisation. You gain hands-on experience with tools including HDFS, MapReduce, Hive, Pig, HBase, Sqoop, Flume, and Kafka.

The image below illustrates how raw data moves through ingestion, storage, processing, and analytics layers to support informed business decisions. 

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## Key Features of Edoxi's Big Data Course

**Hadoop Cluster Simulation Environment**
You can practise managing fully configured virtual Hadoop clusters, including file operations and distributed processing tasks. This helps you gain hands-on experience with real Big Data infrastructure setups.

**Scenario-Based Troubleshooting Exercises**
You can work through realistic problem-solving scenarios that mirror common Big Data implementation challenges. This strengthens your analytical thinking and issue-resolution skills in professional environments.

**E-commerce Analytics Pipeline Project**
You can build an end-to-end data processing pipeline to collect, process, and analyse customer behaviour data. This reinforces practical knowledge of Big Data workflows used in e-commerce platforms.

**Real-Time Stock Ticker Application**
You can develop streaming applications using Kafka and Spark Streaming to process live financial market data. This helps you understand real-time analytics and time-sensitive data processing.

**Comprehensive Study Materials Package**
You can access detailed course slides, lab manuals, cheat sheets, sample datasets, and reference resources. This supports continuous learning and independent practice beyond the classroom.

**Banking ETL & Reporting System**
You can design a complete ETL workflow for banking data with integrated reporting. This enables you to apply Big Data tools to structured enterprise data and reporting requirements.

## Who Can Join Our Big Data Training in Qatar?

**IT Professionals and Software Developers**
You can join this course if you want to expand your technical skills into high-demand Big Data technologies. It helps you work with large-scale data processing frameworks and analytics tools.

**Data Analysts and Database Administrators**
You are an ideal participant if you manage data systems and want to transition into distributed Big Data environments. This course strengthens your ability to handle high-volume, high-velocity datasets.

**ETL Developers and Data Integration Specialists**
You can enrol if you design data pipelines and need advanced skills to manage enterprise-level data integration. It helps you build scalable ETL workflows using modern Big Data tools.

**Computer Science and IT Graduates**
You can attend this training if you are a recent graduate aiming to specialise in cutting-edge Big Data technologies. This course improves your employability in data-driven roles.

**Business Intelligence Professionals**
You can benefit from this course if you want to extend your BI expertise to massive-scale data processing and analytics. It enables you to work beyond traditional reporting systems.

**Career Transitioners**
You are a suitable participant if you have basic technical knowledge and want to move into the Big Data domain. The training provides a structured pathway to enter data-focused careers.

## 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 and 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 and 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 and Output Formats and Counters in MapReduce
- Lesson 4.1.4: Hands-On Projects: WordCount, Sorting, and 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 and 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 and 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 or Tableau
- Lesson 11.1.4: Cluster Management and Security Best Practices
- Lesson 11.1.5: Career Guidance and Mock Interviews

## Hands-On Lab Activities

**End-to-End Big Data Analytics Pipeline**
Within this capstone project, you build a complete Big Data solution that integrates data ingestion, storage, processing, and visualisation using industry-standard tools.

**Data Ingestion Using Sqoop and Flume**
In the first stage, you import structured and unstructured data from multiple sources into the Hadoop ecosystem. You practise handling enterprise data flows commonly used in real-world organisations.

**Data Storage on HDFS and HBase**
During the second stage, you store and manage large datasets across distributed nodes. You ensure scalability, fault tolerance, and high data availability using Hadoop’s storage components.

**Data Processing Using Spark or Hive**
In the third stage, you perform large-scale data transformation, aggregation, and analytics. You apply distributed computing techniques to process high-volume datasets efficiently.

**Data Visualisation Using Power BI or Tableau**
During the fourth stage, you convert analytical outputs into interactive dashboards and reports. This helps you present insights clearly for data-driven business decision-making.

**Reporting and Presentation**
In the final stage, you document the complete Big Data pipeline and present your solution through structured reports and demonstrations. This reinforces your ability to communicate technical outcomes in professional environments.

## Outcomes and Career Opportunities After Our Big Data Course in Qatar
Completing Edoxi’s Big Data Training in Qatar delivers strong technical and professional value for both individuals and organisations. Here are the major course outcomes and career opportunities

- You build a solid foundation in Big Data concepts, distributed systems, and data analytics. This knowledge supports data-driven decision-making across finance, healthcare, telecom, and government sectors in Qatar.
- You learn to design and manage large-scale data architectures using Hadoop, Spark, and related ecosystems. This enables organisations in Qatar to handle high-volume, high-velocity data efficiently.
- You gain hands-on experience in data ingestion, processing, and real-time analytics. This allows you to work confidently with batch and streaming data pipelines used in modern enterprises.
- You apply Big Data technologies to improve data accuracy, scalability, and performance. Organisations can rely on your skills to optimise data storage, processing, and reporting systems.
- You develop the ability to transform raw data into meaningful insights through analytics and visualisation tools. This enhances strategic planning and operational efficiency across industries in Qatar.
- You strengthen your expertise in ETL workflows, data integration, and system optimisation. This reduces data silos and improves end-to-end data flow within organisations.

## Career Opportunities After Our Big Data Training in Qatar
Big Data Engineer, Data Analyst, Hadoop Developer, Hadoop Administrator, Spark Developer, Data Integration Engineer, Machine Learning Engineer, Business Intelligence Engineer, Data Architect, ETL Developer

## Companies Hiring Big Data Training Certified Professionals in Qatar
QatarEnergy, Ooredoo Qatar, Vodafone Qatar, Qatar Airways, Qatar National Bank (QNB Group), Commercial Bank of Qatar, Hamad Medical Corporation (HMC), Mannai Corporation, Malomatia, TCS Qatar

## Big Data Training Options

**Classroom Training**
- 60-hour Hands-On Hadoop Cluster Exercises
- Interactive Troubleshooting Sessions
- Collaborative Project Development
- Direct Mentor Support

**Live Online Training**
- 60-hour Virtual Lab Environment Access
- Interactive Coding Demonstrations
- Flexible Scheduling Options
- Small Group Tutorial Sessions

**Corporate Training**
- 7-days of customised training
- Sector-Specific Case Studies
- Enterprise Implementation Focus
- Flexible Delivery Options (On-Site / Edoxi Office / Hotel/Fly-Me-a-Trainer Option)

## 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/qatar/big-data-course
- Phone: +974 66873399
- Email: info.qa@edoxi.com