Join Our 100% Job-Guaranteed Big Data Analytics Course in OMR. We Provide Quality Big Data Analytics training with an affordable Cost in OMR. Our Big Data Analytics Syllabus covers the fundamentals of big data, Hadoop ecosystem (HDFS, MapReduce, Hive, Pig), Apache Spark, data ingestion with Sqoop and Flume, and real-time processing with Kafka. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.
Big Data Analytics Training In Omr
DURATION
4months
EMI
0% Interest
Mode
Live Online / Offline
Let's take the first step to becoming an expert in Big Data Analytics
100% Placement
Assurance
Get Certified
JOB PLACEMENT ELIGIBILITY TEST
Your Placement Eligibility Report
Want more details about Big Data Analytics Course?
Course Schedules
Course Syllabus
Course Fees
or any other questions...
Fees, Duration & Batch Timings for Big Data Analytics Course
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2026
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
June 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Save up to 20% in your Course Fee on our Job Seeker Course Series
Syllabus of Big Data Analytics Course
Big Data Introduction
- Big data: definition and taxonomy
- Big data value for the enterprise
- Setting up the demo environment
- First steps with the Hadoop “ecosystem”
The Hadoop Ecosystem
- Introduction to Hadoop
- Hadoop components: MapReduce/Pig/Hive/HBase
- Loading data into Hadoop
- Handling files in Hadoop
- Getting data from Hadoop
Querying big data with Hive
- Introduction to the SQL Language
- From SQL to HiveQL
- Introduction to HIVE e HIVEQL
- Using Hive to query Hadoop files
Big Data & Machine learning
- Quick into to Machine learning
- Big Data & Machine Learning
- Machine learning tools
- Spark & SparkML
- H2O
- Azure ML
Big data & Machine learning
- Big Data & Machine Learning (continued)
- Next steps in the big data world
Objectives of Big Data Analytics Training
You will become proficient in the following by the end of our big data analytics training in OMR.
- Big data analytics’ foundational ideas and methods.
- Big data technology enables large-scale data processing and information extraction from several sources.
- YARN, the Distributed File System (HDFS), and MapReduce code construction.
- Debugging techniques, best practices, and development considerations.
- Utilize many frameworks, such as Sqoop, Flume, ApacheHive, and ApachePig, for diverse applications.
- Gain expertise in complex API subjects and practical analytics.
Why Softlogic Systems is the Best Choice for Big Data Analytics Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn from 100+ Real-Time Developers
Hands-on Projects & Codeathons
0% EMI Fee Options
Resume & Interview Support
Placement with Top IT Firms
1000+ Hiring Partners
No Backdoor Jobs
Highlights of Big Data Analytics Course
What is big data analytics?
The techniques, equipment, and software used to gather, process, and extract knowledge from diverse, high-volume, high-velocity data sets are collectively referred to as big data analytics. These data sets could originate from many places, including social media, email, mobile, web, and networked smart devices. To learn more, enroll in our Big Data Analytics Training in OMR.
What are the reasons for learning about big data analytics?
The following justifies obtaining Big Data Analytics Training in OMR:
- Big data is widespread.
- Big Data is all around us.
- Quick expansion
- Employment is growing.
- Highest Paying Trends for IT Specialists
- Any technologist can enter.
What are the prerequisites for learning the Big Data Analytics course in OMR?
To learn the Big Data Analytics course, there are no strict requirements. Nonetheless, the following skills offer further benefits:
- Basic familiarity with programming languages such as Python and Java
- Basic familiarity with RDBMSs and SQL.
Our Big Data Analytics Course in OMR is suitable for:
- Students/Freshers
- Professionals seeking a career change
- IT professionals aiming to enhance their skills with big data analytics
- Job Seekers
What are the course fees and duration for big data analytics?
The Big Data Analytics course fees is around 25,000 INR for the duration of 2 months, including international certification. For current and accurate details regarding fees, duration, and certification, contact our learning managers at our Big Data Analytics Training Institute in OMR immediately.
What are some job roles related to the Big Data Analytics Course?
The job profiles in big data analytics are varied. You might choose any of these based on your work experience.
- Data Analyst
- Business Analyst
- Data Engineer
- Database Administrator
- Business Intelligence Analyst
- Analytics Manager
- Marketing Analyst
- Financial Analyst
What is the salary range for big data experts?
The Big Data Analyst Salary for Freshers in India is ₹2.5 Lakhs and the Big Data Analyst Salary for Experienced is between ₹12 Lakhs and ₹17.0 Lakhs, with an average of ₹7.6 Lakhs per year. Hone your skills in our Big Data Analytics Training in OMR.
List a few big data analytics real-time applications.
Among the applications of big data analytics are:
- Law enforcement and security
- Retail sectors for effective sales
- Platforms for advertising that analyze clickstreams
- Sentiment analysis
- Trading and predicting in finance
Boost Your Skills with Our Big Data Analytics Training Experts
Our Mentors are from Top Companies like:
- Our big data analytics trainers are highly qualified professionals with a strong background in cutting-edge big data technology.
- Our trainers are equipped to guide and support students as they acquire the skills necessary to manage and retain data from a variety of sources.
- Our trainers are proficient in setting up and developing MapReduce apps that may be used for Hadoop Distributed File System (HDFS) deployment, configuration, and big data analysis.
- Using cutting-edge testing techniques and tools, our teachers evaluate students’ performance and provide feedback to help them improve.
- With a positive attitude and a collaborative spirit, the trainers help students learn expertise and be placed easily in prestigious international organizations.
What Modes of Training are available for Big Data Analytics Course?
Offline / Classroom Training
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
Certifications
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Take Your Career to the Next Level with Certifications
Stand Out from the Crowd with Codethon Certificate
Hands-on Project Practices in Big Data Analytics Course
Tourist Behavior Analysis
Anomaly Detection
Disease Prediction
Crime Detection
Big Data Cybersecurity
Text Mining
Data Warehouse
Fraud Detection
Traffic Control
The SLA Way to Get Placed in Top IT Companies
Enrollment
Technology Training
Realtime Projects
Placement Training
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Placement Support for a Big Data Analytics Job
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
FAQs
What can big data analytics be used for?
Organizations may harness their data and use big data analytics to find new opportunities. In the end, this leads to more profitable business decisions, more efficient operations, and happy customers. To learn more, enroll in our big data analytics training in OMR.
What is the scope of big data analytics?
Big data analytics tools and systems enable organizations to make data-driven decisions that enhance their business-related results. Improved operational efficiency, additional revenue potential, consumer personalization, and more effective marketing are just a few advantages.
Is big data analytics a good career?
Yes, there is a big need for data analyzers. The majority of industries around the globe are impacted by the data skills gap, which implies that a significant number of people will need to transition to employment in data analysis.
Where are big data analytics used?
These days, big data analytics is applied in a wide range of fields, including environmental protection, gambling, agriculture, and medicine.
How many companies use big data analytics?
When it comes to big data projects, more than half of companies (52%) choose project-based funding. Revenue increases by 8% when big data is utilized. 56% of data leaders reported higher big data and analytics spending despite uncertain economic times. According to 78% of data leaders, investment will increase by 2024.
Is big data analytics good for freshers?
This question has a resounding yes response. In IT, there isn’t a field that doesn’t require new skills, regardless of the technology being used, be it big data or outdated mainframes.
How long is the Big Data Analytics course in OMR?
With enough time and effort, students can complete a full-time or part-time program in 3 months to understand the fundamentals of big data analytics.
Is learning big data analytics difficult?
Learning and mastering big data analytics is one such niche that most job hopefuls are choosing. It can be difficult to work with and rather complicated to learn the framework. But you can learn how to master it with the appropriate kind of assistance through the right big data analytics training institute in OMR.
Is this big data analytics course available in an online/virtual format?
Both. SLA offers this training in-person and online at our big data analytics training institute in OMR.
Does SLA offer help with placement following big data analytics training in OMR?
Yes, SLA helps you get your dream job by offering career placement services following Big Data analytics training in OMR. Additionally, SLA provides its Big Data students with individualized career counseling and industry expert mentoring.
Additional Information for
the Big Data Analytics Course
Future Scope of Big Data Analytics
Gone are the days of exporting data once a week or once a month and then sitting down to evaluate it. Big data analytics will eventually place more emphasis on the freshness of the data to achieve real-time analysis, which will boost competitiveness and allow for more informed decision-making. It is recommended that you enroll in our big data analytics course in OMR if you want to progress your career in the big data business.
What is the demand for big data analysts?
There is an unprecedented demand in India for scientists and data analysts, with 11 million job vacancies anticipated by 2026 [1]. India is a profitable employment option for anyone interested in data management, as the country is predicted to control 32% of the global market by 2026.
What are the trends in big data analytics in 2024?
A few innovative advancements in the big data analytics domain in 2024 include
- Augmented Analytics
- Edge Computing
- Data Security
- Data Governance
- Data Visualization
- Data Mesh Architecture
- DataOps
- Quantum Computing







