Overview of the Big Data Training in Qatar
Big data is a term used to describe the vast nature of information generated and collected in the digital age. A Big data course teaches students how to process, analyse and draw insights from these vast data sets. This is done by using specialised tools and precise techniques. With the exponential growth of data, businesses and organisations seek professionals with the skills to handle this information and drive business decisions effectively.
Edoxi Training Institute is at the forefront of providing cutting-edge big data courses in Qatar. Our comprehensive course covers big data fundamentals, data analysis, data visualisation, and machine learning. Edoxi understands the importance of hands-on training. Due to this, they provide practical sessions that allow students to work on real-life projects and data sets. As Qatar continues to develop into a digital hub, the demand for big data professionals is increasing rapidly. Our institute is taking much-needed initiatives to bring the best approach to their training of this course in Qatar. Likewise, Our expert instructors and hands-on training approach ensure students are well-equipped to meet the demands of the ever-evolving job market.
Big Data Course Highlights
- Edoxi's big data course covers fundamental concepts and real-world applications.
- Learn data acquisition, processing, analysis, and visualisation techniques in-depth.
- Gain hands-on experience with industry-standard big data tools and technologies.
- Get insights into the latest trends and advancements in the big data field.
- Collaborate with peers on projects that simulate real-world big data scenarios.
- Benefit from personalised mentoring and career guidance from industry experts.
- Earn a certificate of completion that validates your big data expertise.
Big Data Course Features
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Comprehensive Course Content:
Our Big Data Certification course covers all the essential topics to make you a skilled data professional within a short period, with over 200 hours of learning material.
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Hands-on Projects:
Our course includes hands-on projects that allow you to apply the concepts you learn in real-world scenarios and build a strong portfolio.
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Live Virtual Training:
Our live virtual training sessions provide interactive learning experiences with real-time instructor feedback.
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Experienced Instructors:
Our experienced instructors have years of experience in the industry. Hence, they deeply understand the latest Big Data tools and technologies.
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Career Counselling:
Our expert team provides career counselling services to help you make the finest decisions about your career path. It gets tailored to your interests and skills.
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Flexible Learning Options:
Our Big Data course is designed to cater to the needs of students and professionals as it consists of flexible learning options such as weekend and evening batches.
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Regular Mock Tests:
The course includes frequent mock tests to assess your progress and provide you with a clear understanding of your strengths and weaknesses..
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Industry-Relevant Curriculum:
Our curriculum is designed in consultation with industry experts to ensure it covers the latest trends and practices in the Big Data industry.
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Customised Corporate Training:
Our corporate training solutions get designed to meet your organisation's specific needs. This gives your employees the skills and knowledge they require to succeed in the Big Data industry.
Industries Looking for Certified Big Data Professionals in Qatar
Information and Technology
- Government and public sector
Health Care
Oil & Gas
- Hospitality and tourism
Education
- Transportation and logistics
- Construction and engineering
Human Resources
Tele Communications
Prerequisites for Big Data Course
- A strong foundation in computer programming and statistics is helpful for students to enrol in the Big Data course.
Big Data Hadoop Course Modules
- Module 1: Introduction to Big Data
- Big data definition,
- What is Big Data,
- Big Data Sources,
- Industries using Big Data, Big Data challenges.
- Structured data and Unstructured data Analytics
- Module 2: Technical Information and Definition of Hadoop as Big Data
- Installation of Ubuntu 19.10.
- Installation of Hadoop 2. x
- Introduction of Big data programming, Hadoop.
- History of Hadoop and ecosystem and stack,
- Installation of Ecosystems as Pig, Hive, Sqoop, HBase
- Module 3: Understanding HDFS
- The Hadoop Distributed File System (HDFS).
- Components of Hadoop: Design of HDFS, Java interfaces to
- HDFS, Architecture Overview, Development Environment,
- Hadoop distribution and basic commands, Eclipse
- development.
- The HDFS command line and web interfaces.
- The HDFS Pig way to Analyze the Data with Hadoop,
- Scaling Out, Hadoop event stream processing, complex
- event processing.
- MapReduce Introduction, developing a Map-Reduce
- Application.
- How Map Reduce Works as Run, Failures, Job Scheduling,
- Shuffle and Sort, Task execution, Map Reduce Types,
- Formats, Map Reduce Features.
- Module 4: Apache Pig – Advanced
- Pig Latin
- Load And Store Operators
- Grouping And Joining
- Combining And Splitting
- Filtering
- Sorting
- Pig Latin Built-In Functions
- Load CSV file in pig
- Load pipe-delimited file in pig
- Load XML file in pig
- Module 5: Apache HIVE – Advanced
- Hive Data Types
- Create Database
- Drop Database
- Create Table
- Alter Table
- Drop-Table
- Partitioning
- Built-In Operators
- Built-In Functions
- Views And Indexes
- HiveQL Select
- HiveQL Joins
- Remove Header of CSV File in hive
- Load CSV file in hive
- Split one column into multiple columns in hive
- Data migration from Hive to HBase
- Module 6: Hadoop Reporting Tools
- Introduction to Pig and HIVE.
- Programming Pig: Engine for executing data flows in parallel
- on Hadoop.
- Programming with Hive: Data warehouse system for
- Hadoop.
- More common algorithms: sorting, indexing, and searching
- (lab), Relational manipulation: map, side and reduce, side
- joins (lab), evolution, purpose, and use.
- HDFS – Overview and concepts, data flow (read and write),
- interface to HDFS (HTTP, CLI, and Java API), high
- availability, and Name Node federation.
- Map Reduce developing and deploying programs,
- optimization techniques.
- Map Reduce Anatomy.
- Data flow framework programming.
- Map Reduce best practices and debugging.
- Integration PIG, HIVEQL, MYSQL, and SQOOP.
- Module 7: Understanding Sqoop In a Detailed Manner
- Sqoop Releases
- Prerequisites
- Basic Usage
- Sqoop Tools
- Sqoop-import
- Sqoop-import-all-tables
- Sqoop-export
- Sqoop-job
- Sqoop-merge
- Module 8: Hadoop Administration Introduction
- Hadoop Configuration, Security in Hadoop
- Administering Hadoop, HDFS – Monitoring & Maintenance
- Module 9: Introduction to Apache HBase and Use Cases
- Overview
- Hadoop Architecture
- Installing HBase ·
- HBase Shell
- HBase Column-Oriented Understanding
- Integration Hbase With Rdbms
- Transfer Data from RDBMS To Hbase Using Sqoop
- Transfer Data from Datafile To Hbase Using Hadoop Hdfs
- Working With Key, Value Pairs, Shuffle Operations.
How to Get Big Data Hadoop Certified?
Upcoming Batches
29 Mar 2024
| Time | 07.00 |
| Class Type | Live Training |
1
Apr
2024| Time | 07.00 |
| Class Type | Live Training |
5
Apr
2024| Time | 07.00 |
| Class Type | Live Training |
Review & Ratings
FAQs
An extensive data course teaches individuals to manage and analyse large datasets using various tools and techniques. It is essential because the amount of data generated by businesses and organisations is increasing at an unprecedented rate, and the ability to interpret this data can provide valuable insights.
A big data course can teach individuals how to collect, process, and analyse data. Moreover, this gets done with the help of tools like Hadoop, Spark, and Python. It also teaches skills such as data visualization, statistical analysis, and machine learning.
Edoxi's big data course provides hands-on training, real-world examples, personalised attention, and flexible schedules. Our trainers are big data experts, ensuring students receive a high-quality education.
The duration of the course can vary depending on the program selected. However, most programs range from six weeks to six months.
The career prospects for big data professionals in Qatar are excellent. This is happening gradually; as the country is rapidly adopting big data technology to stay competitive in the global market.
Yes, Edoxi's big data Training is designed to help individuals with no technical background learn big data by providing a comprehensive introduction to the field.
Yes, Edoxi offers both online and in-person big data courses to cater to students' diverse needs.
Edoxi's big data course provides students with hands-on training using real-world scenarios and datasets. Thus, allowing them to apply the concepts they learn in class.
Some job roles available for big data professionals in Qatar include data analyst, data scientist, data engineer and big data architect.
Yes, Edoxi's big data certification is designed to help individuals with prior experience in big data advance their careers by providing advanced training and practical experience.