Big Data Analytics
Beginner to Mastery
Hands-on industry training
Apache Spark analytics
Career-ready big data roles
Develop skills to build and manage scalable data processing systems.
Group Enrollment with Friends or Colleagues
200 Hours
14 September 2025
Live. Online. Interactive.
Stay current with the latest big data technologies and best practices.
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.
40 hours focused course on Big Data Frameworks.
Online accessible E-learning Material, recorded lectures, case studies and Research Paper through our system.
Get 1 to 1 guidance from Industry experts and start your career in Data Science.
14 September 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This program is specially designed to give a strong foundation to those who want to learn BigData. You will get a brief knowledge of HDFS Architecture, Spark, Flume, and Hive. After completing this course, you will be able to collect, organize, and extract unstructured data from large databases.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →The Program is focused on preparing you to effectively control and analyze large datasets. It deals with learning Java for programming mastering, understanding distributed data processing using Hadoop ecosystem and Apache Spark used to deliver real-time analytics as well as NoSQL databases such as MongoDB. By the end, participants will be prepared to apply these tools in building scalable big data solutions.
Enroll Now →You should have experience in Java, Hadoop, Spark and NoSQL databases which are much needed technologies for the big data industry.
Expand into data engineering, big data analytics and related fields.
Walk through notional examples and utilize production grade tools that leading companies use to wrangle large datasets, manage experiments, and process data.
Work on industry-based case studies and projects to understand how big data is applied in finance, healthcare, e-commerce, and more.
Big data professionals are among the most well-paid in the tech industry due to the specialized nature of their skills.
With the exponential growth of data, expertise in Hadoop and Spark ensures long-term career relevance and opportunities.
Learn all big data technologies, from storing and processing to real-time analytics.
Develop scalable big data solutions that can handle the increasing amounts of information in our data-driven world.
Gain expertise in essential big data tools: Java, Hadoop, Spark, and NoSQL databases.
Learn industry-relevant technologies for data processing and real-time analytics.
Master scalable solutions for managing and analyzing large datasets.
Build versatile skills in handling structured and unstructured data.
Enhance your career prospects with hands-on experience and in-demand skills.
Min
$85,000
Average
$120,000
Max
$150,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Develop and perform big data solutions using Hadoop/Spark, NoSQL databases for massive datasets.
Analyze and interpret complex datasets to drive business insights.
Derive and communicate actionable insights from complex data sets to support decision-making.
Big Data Systems and Databases - Performance, reliability and security optimization work is crucial here
Collaborate with cross-functional teams, including data scientists and business analysts, to integrate and address data needs.
Debug and complete technical issues related to data processing, storage.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A |
---|---|---|
Primary Tools Covered | Java, Hadoop, Spark, NoSQL databases | Varies; may include tools like Python, SQL, or AWS |
Focus Areas | Comprehensive big data technologies including real-time processing and NoSQL databases | May focus more on specific tools or less comprehensive coverage |
Real-Time Data Processing | Emphasizes Apache Spark for real-time analytics | Not always covered in detail; may focus more on batch processing |
Hands-On Experience | Extensive hands-on labs with industry-standard tools | Varies; some programs may have limited practical exercises |
Career Opportunities | Data Engineer, Big Data Engineer, Hadoop Developer, Spark Developer, Big Data Analyst, NoSQL Database Administrator | May offer a narrower range of roles or less specialized training |
Scalability and Integration | Covers building scalable solutions and integrating various big data tools | Some programs may not cover integration or scalability in depth |
Industry-Relevance | Focuses on up-to-date technologies and best practices in big data | May lag behind in terms of the latest technology trends |