Our Big Data Online Training programs are designed for students, freshers, and working professionals who want to upskill and stay relevant. We offer Big Data Online Courses that are practical, interactive, and aligned with the latest industry demands. Our Big Data Syllabus covers the everything from the basics of Big Data to advanced tools and technologies like Hadoop, Spark, Hive, Pig, and NoSQL databases. Enroll now and learn from industry experts with flexible timings and get Job support.
Big Data Online Training
4.80
(1258)
DURATION
1 Month
EMI
0% Interest
Mode
Live Online / Offline
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Course Schedules
Course Syllabus
Course Fees
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Fees, Duration & Batch Timings for Big Data
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 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)
Course Fee
July 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Syllabus of Big Data
Download Syllabus
Big Data Introduction
- Hadoop Overview
- Architecture Considerations
- Infrastructure
- Platforms And Automation
Use Case Walkthrough
- ETL
- Log Analytics
- Real Time Analytics
NoSQL Introduction
- Traditional RDBMS Approach
- NoSQL Introduction
- Hadoop & Hbase Positioning
Hbase Introduction
- What It Is, What It Is Not, Its History And Common Use-Cases
- Hbase Client – Shell, Exercise
Hbase Architecture
- Building Components
- Storage, B+ Tree, Log Structured Merge Trees
- Region Lifecycle
- Read/Write Path
Hbase Schema Design
- Introduction To Hbase Schema
- Column Family, Rows, Cells, Cell Timestamp
- Deletes
- Exercise – Build A Schema, Load Data, Query Data
Hbase Java API – Exercises
- Connection
- CRUD API
- Scan API
- Filter
- Counters
- Hbase MapReduce
- Hbase Bulk Load
Hbase Operations, Cluster Management
- Performance Tuning
- Advanced Features
- Exercise
- Recap And Q&A
- MapReduce for Developers
Hadoop In The Enterprise
- Where Hadoop Fits In The Enterprise
- Review Use Cases
Architecture
- Hadoop Architecture & Building Blocks
- HDFS And MapReduce
Hadoop CLI
- Walkthrough
- Exercise
MapReduce Programming
- Fundamentals
- Anatomy Of MapReduce Job Run
- Job Monitoring, Scheduling
- Sample Code Walk Through
- Hadoop API Walk Through
- Exercise
MapReduce Formats
- Input Formats, Exercise
- Output Formats, Exercise
Hadoop File Formats
- MapReduce Design
- Considerations
- Hadoop File Formats
- MapReduce Algorithms
- Walkthrough Of 2-3
- Algorithms
MapReduce Features
- ion Content
Use Case A
- Oozie
- Flume
- Sqoop
- Exercise 1 (Sqoop)
- Streaming API
- Exercise 2 (Streaming API)
- Hcatalog
- Zookeeper
- Input Formats, Exercise
- Output Formats, Exercise
HBase Introduction
- HBase Architecture
- Default Views
- Overriden Views
- Normal Views
- Hadoop Fundamentals And
- Architecture
- Why Hadoop, Hadoop
- Basics And Hadoop
- Architecture
- HDFS And Map Reduce
Hadoop Ecosystems Overview
- Hadoop Ecosystems
- Hive
- Hbase
- ZooKeeper
- Pig
- Mahout
- Flume
- Sqoop
- Oozie
- Hardware And Software
- Requirements
- Hardware, Operating
- System And Other Software
- Management Console
Objectives of Big Data
By the end of our big data Online Training, you will gain proficiency in the following.
- Understanding of basic ideas and methods in big data analytics.
- Implementing YARN, the Distributed File System (HDFS), and MapReduce code.
- Use different frameworks, such as Sqoop, Flume, ApacheHive, and ApachePig, for various applications.
- Learn complex API subjects and perform real analytics.
- Proficiency with techniques for debugging, along with recommended practices and development considerations.
Why Softlogic Systems is the Best Choice for Big Data – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about Big Data?Request a Free Callback
Highlights of Big Data
What is big data?
Large, complex volumes of information that are challenging to manage with traditional data processing methods are called “big data.” To learn more, enroll in our big data online training.
What are the reasons for learning about big data?
Some of the major reasons to learn Big Data analytics.
- Fast growth: Because big data sources and volumes are expanding so quickly, big data is increasingly used as the foundation for other big data technologies.
- Jobs are growing: The market still has a large skills gap, and most of these roles are available.
- High salary: The scarcity of big data specialists is a major factor in their high pay.
- Trend: There is a strong correlation between the various Big Data trends.
- Top choice for IT specialists: Big data analytics are becoming high in demand worldwide, and this strong growth trend is an excellent opportunity for all IT workers.
- Any techies can enter: The big data solution technique uses a tailored blend of many technologies.
What are the prerequisites for learning the Big Data Online Course?
No hard prerequisites are required to learn the Big Data online course. However, the following skills have added advantages:
- Basic familiarity with programming languages such as Python and Java
- Basic familiarity with RDBMSs and SQL.
Our Big Data Online Course is suitable for:
- Students and Freshers (Big data Aspirant)
- Professionals seeking a career change
- IT professionals aiming to enhance their skills with big data
- Job Seekers
What are the course fees and duration?
The Big Data online course fees is around 25,000 INR for the duration of 2 months, including international certification. Contact our learning managers at our Big Data Online Training Institute immediately for current and accurate fees, duration, and certification.
What are some job roles related to the Big Data online course?
Some of the popular big data-related job roles are:
- Big data developer
- Big data admin
- Data Scientist
- Data Analyst
- Data Engineer
- Big Data Architect
What is the salary range for big data analysts?
The annual income of a big data developer with 4–9 years of experience is ₹8.3 lakhs, while the average salary for freshers is ₹4.0 lakhs. For developers with 10–20 years of experience, the average annual salary is ₹20.3 lakhs.
List a few big data real-time applications.
Some of the real-time applications of big data include:
- Monitoring the spending and shopping of a customer
- Recommendation system
- IoT and Smart traffic systems
- Energy and healthcare sectors
Boost Your Skills with Our Big DataExperts
Our Mentors are from Top Companies like:
- With a strong technical background in contemporary big data technology, our big data trainers are very talented professionals.
- Our trainers have a broad range of knowledge to guide and support students as they learn to manage and save data from various sources.
- As they are well-versed in Hadoop and Apache Spark, our big data trainers can effectively prepare students for Big Data certifications.
- Our trainers are adept at developing and designing MapReduce apps that may be used for Hadoop Distributed File System (HDFS) configuration and deployment, as well as large data analysis.
- Using cutting-edge techniques and tools, our trainers evaluate students’ performance and provide feedback to help them improve.
- With a positive attitude and a collaborative spirit, our big data trainers help students learn expertise and be placed easily in prestigious international organizations.
- Students can develop adequate skills through trainers to assist them in managing heavy data workloads and extracting advanced analytics from several sources.
Want to Speak to a Trainer about Big Data?Request a Free Callback
What Modes of Training are available for Big Data?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- 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
Instructor Led Live Training! Learn at the comfort of your home
- 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
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
Want to Master your Skills in Big Data?GET Free Consultation
Certifications
Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Hands-on Project Practices in Big Data
Cricket Match Analysis
Yelp Dataset
Million Song Dataset
Handling Small Files
Hadoop Architectural Design
Clickstream Analysis
Weblog Trend Analysis
Wiki Page Ranking
Airline Sentiment Analysis
The SLA Way to Get Placed in Top IT Companies
Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Placement Support for a Big Data 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
Unlock Career Opportunities with our Placement TrainingRequest a Free Callback
FAQs
What are the three types of big data?
Big data can be classified into structured (highly organized), semi-structured (partially organized), and unstructured (unorganized) data. Enroll in our big data online training to gain expertise in big data processing.
What is an example of big data?
Big data is gathered from a variety of sources, such as social networks, mobile apps, transaction processing systems, email correspondence, medical records, documents, emails, and clickstream logs from the internet.
How does big data work?
Big data is produced, handled, and examined quickly. Businesses and organizations need to be able to use this data and swiftly produce insights from it so that decision-makers can take swift action. Gain expertise with our big data online course at SLA.
What is big data and what are its features?
Big data is defined as data with a higher variety that arrives at a faster rate and in larger volumes. The three “Vs” are another name for this. Big data is simply larger, more complex data sets, particularly from recently discovered data sources.
Where is big data utilized?
These days, big data is applied in a wide range of fields, including environmental protection, gambling, agriculture, and medicine.
How long is the Big Data online course?
Learners who put in the necessary time and effort can learn the principles of big data in 3 months by completing our big data online program.
Is learning big data difficult?
The majority of job applicants are selecting big data learning and mastery as one of these niches. The framework can be challenging to work with and quite complex to understand. However, with the right kind of support from our big data online course, you may learn how to master it.
Is this big data online course available in an online/virtual format?
Both. SLA offers this training in-person and online in our big data online training.
Does SLA offer help with placement following big data Online Training?
Yes, SLA helps you get your dream job by offering career placement services following Big Data Online Training. SLA also offers customized career advice and industry expert coaching to its Big Data students.
How many branches of SLA are there for big data training?
SLA is located in two places: K.K. Nagar and OMR, Navalur, along with a big data online course.
Additional Information for
the Big Data
New Features of Big Data
- Data wrangling and preparation
- Data exploration
- Scalability and data visualization
- Various types of analytics support
- Version control system
- Data management and integration
- Data governance and security
Tips to get started with Big Data Analytics Career
- Develop a determined strategy
- Learn core functions of businesses and big data
- Discover the benefits of integrating the big data ecosystem
- Learn to make analytics-based decision-making processes
- Get connected to people with related skills.
Top trends of Big Data Analytics
- Natural language processing
- Real-time and streaming analytics
- Artificial intelligence and machine learning
- Edge computing
- Hybrid cloud computing
- Rise of DataOps
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