Our Big Data Training program is designed to equip you with the skills needed to handle, analyze, and extract value from vast amounts of data. The Big Data Course covers key technologies and tools such as Hadoop, Spark, and NoSQL databases. With hands-on practice and real-world projects, you’ll learn how to efficiently manage and analyze big data to make informed decisions. Our Big Data Course with Certifications and Placements offers a comprehensive learning experience, including industry-recognized certification and support for job placement. Enroll in our training to gain the expertise required to excel in the dynamic field of big data.
Big Data Training
4.80
(2103)
Download Big Data Training Syllabus PDF
DURATION
1 Month
Mode
Live Online / Offline
EMI
0% Interest
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100% Placement
Assurance
What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
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Fill out the form, and our counsellors will get in touch with you at your preferred time. You can have all your queries answered. Once you decide that SLA is the perfect fit for your training needs, our counselors will guide you through the process every step of the way.
Course Schedules
Course Syllabus
Course Fees
or any other questions...
Breakdown of Big Data Training Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 2024
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
October 2024
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 for The Big Data Training
Download Syllabus
Big Data Introduction
1
- Hadoop Overview
- Architecture Considerations
- Infrastructure
- Platforms And Automation
Use Case Walkthrough
2
- ETL
- Log Analytics
- Real Time Analytics
NoSQL Introduction
3
- Traditional RDBMS Approach
- NoSQL Introduction
- Hadoop & Hbase Positioning
Hbase Introduction
4
- What It Is, What It Is Not, Its History And Common Use-Cases
- Hbase Client – Shell, Exercise
Hbase Architecture
5
- Building Components
- Storage, B+ Tree, Log Structured Merge Trees
- Region Lifecycle
- Read/Write Path
Hbase Schema Design
6
- Introduction To Hbase Schema
- Column Family, Rows, Cells, Cell Timestamp
- Deletes
- Exercise – Build A Schema, Load Data, Query Data
Hbase Java API – Exercises
7
- Connection
- CRUD API
- Scan API
- Filter
- Counters
- Hbase MapReduce
- Hbase Bulk Load
Hbase Operations, Cluster Management
8
- Performance Tuning
- Advanced Features
- Exercise
- Recap And Q&A
- MapReduce for Developers
Hadoop In The Enterprise
9
- Where Hadoop Fits In The Enterprise
- Review Use Cases
Architecture
10
- Hadoop Architecture & Building Blocks
- HDFS And MapReduce
Hadoop CLI
11
- Walkthrough
- Exercise
MapReduce Programming
12
- Fundamentals
- Anatomy Of MapReduce Job Run
- Job Monitoring, Scheduling
- Sample Code Walk Through
- Hadoop API Walk Through
- Exercise
MapReduce Formats
13
- Input Formats, Exercise
- Output Formats, Exercise
Hadoop File Formats
14
- MapReduce Design
- Considerations
- Hadoop File Formats
- MapReduce Algorithms
- Walkthrough Of 2-3
- Algorithms
MapReduce Features
15
- ion Content
Use Case A
16
- Oozie
- Flume
- Sqoop
- Exercise 1 (Sqoop)
- Streaming API
- Exercise 2 (Streaming API)
- Hcatalog
- Zookeeper
- Input Formats, Exercise
- Output Formats, Exercise
HBase Introduction
17
- 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
18
- Hadoop Ecosystems
- Hive
- Hbase
- ZooKeeper
- Pig
- Mahout
- Flume
- Sqoop
- Oozie
- Hardware And Software
- Requirements
- Hardware, Operating
- System And Other Software
- Management Console
Objectives of Learning Big Data Training
Download Syllabus
The objectives of learning Big Data Training include
- Learn Big Data Basics: Understand what big data is and the key concepts behind it.
- Use Key Tools: Get skilled in tools like Hadoop and Spark for processing large amounts of data.
- Analyze Data: Develop the ability to analyze large datasets and find useful patterns.
- Create Data Solutions: Learn how to design and implement solutions to solve real-world problems with data.
- Visualize Data: Use visualization tools to present data findings in a clear way.
- Apply Statistics: Use statistical methods to interpret data and build predictive models.
- Manage Data Storage: Learn how to manage and store data effectively using distributed systems.
Reason to choose SLA for Big Data Training
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to a Trainer about Big Data Training?Request a Free Callback
Highlights of The Big Data Training
What is Big Data?
1.
Big Data is a term for very large sets of data that are too complex to handle with regular tools. It includes diverse information from different sources and needs special technologies like Hadoop and Spark to manage and analyze it.
What are the reasons for learning Big Data?
2.
Here are a few reasons to learn Big Data:
- High Demand: Companies need experts to analyze and manage their large data sets.
- Career Growth: Big Data skills open doors to well-paying jobs in various industries.
- Improved Decision-Making: Learning Big Data helps in making data-driven decisions, crucial for business success.
- Wide Application: Big Data is used in healthcare, finance, marketing, and more, making it a versatile skill.
- Competitive Edge: Gaining expertise in Big Data sets you apart in the job market.
What are the prerequisites for learning Big Data?
3.
You don’t need any specific requirements to learn Big Data. However, knowing some basics about programming, data structures, and databases can be useful. Understanding statistics, data analysis, and how data is used in business can also help. Anyone interested in data can start learning Big Data.
Our Big Data Training is suitable for:
- Students
- Professionals seeking a career change
- IT professionals aiming to enhance their skills
- Enthusiastic programmers
- Job Seekers
What are the course fees and duration?
4.
The fees for Big Data Training vary depending on the program level (basic, intermediate, or advanced) and whether it’s online or in-person. Generally, a 2-month course costs around 25,000 INR and includes international certification. For the most current details on fees and certification, contact our training institute directly.
What are some job roles related to Big Data?
5.
Here are some job roles related to Big Data:
- Data Scientist: Analyzes data to find useful insights for businesses.
- Big Data Engineer: Builds systems to handle large amounts of data.
- Data Analyst: Looks at data to find trends and useful information.
- Data Architect: Designs and manages how data is stored and accessed.
- Business Intelligence Developer: Creates tools and reports to help businesses make decisions based on data.
- Machine Learning Engineer: Develops models that let computers learn from data and make predictions.
What is the salary range for Big Data Engineer?
6.
In India, a new Big Data Engineer usually earns around ₹4,00 000 lakhs per year. With 4 to 9 years of experience, the salary increases to about ₹12,00 000 lakhs per year. Engineers with 10 or more years of experience can earn around ₹23,00 000 lakhs annually.
List a few Big Data real-time applications.
7.
Here are a few real-time applications made with Big Data:
- Fraud Detection: Finding and stopping fraud as it happens.
- Customer Personalization: Giving users custom recommendations based on their data.
- Predictive Maintenance: Preventing equipment issues by analyzing sensor data.
- Real-Time Analytics: Getting quick insights for fast decisions in finance and retail.
- Traffic Management: Making traffic flow better and reducing jams by analyzing data.
- Social Media Monitoring: Managing brand reputation and engaging with customers through social media.
Who are our Trainers for The Big Data Training?
Our Mentors are from Top Companies like:
- Our trainers have extensive experience working with Big Data technologies and tools in real-world scenarios and projects.
- They hold relevant Big Data certifications and credentials to ensure they have verified expertise in the field.
- Our trainers come from leading companies and bring practical experience from working on significant Big Data projects.
- They are skilled educators, making complex Big Data concepts simple and understandable for all learners.
- Trainers provide practical examples and insights based on their own Big Data project experiences, enhancing learning.
- They are proficient in major Big Data technologies like Hadoop, Spark, and NoSQL databases, with hands-on expertise.
- Trainers have diverse project experience across various industries, offering valuable perspectives and real-world applications.
- They stay updated with the latest trends and advancements in Big Data technologies and practices.
- Trainers offer supportive mentorship to help you grasp and apply Big Data concepts effectively in your projects.
- They use interactive teaching methods to create an engaging and effective learning experience for all participants.
Want to Speak to a Trainer about Big Data Training?Request a Free Callback
What Modes of Training are available for Big Data Training?
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 Training?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 an IBM Certification
Get an IBM certification 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.
Project Practices for The Big Data Training
Data Security
Apply security measures like encryption and access controls to protect data and ensure privacy.
Real-Time Processing
Work with technologies like Apache Kafka or Apache Storm to handle and process streaming data in real-time.
Machine Learning
Use machine learning techniques on Big Data to build models and perform advanced data analysis.
Data Integration
Combine data from various sources and formats to create a unified view using ETL (Extract, Transform, Load) methods.
Data Storage
Set up storage solutions using systems like HDFS or NoSQL databases for managing large volumes of data.
Data Visualization
Create charts and graphs with tools like Tableau or D3.js to show data insights clearly.
Data Analysis
Analyze data to find trends and patterns using Big Data analysis tools and techniques.
Data Processing
Work on cleaning and transforming raw data using tools like Apache Spark or MapReduce to get useful information.
Data Ingestion
Practice bringing large datasets from different sources into Big Data systems like Hadoop or Spark.
Learn Big Data Training with Real-time ProjectsRequest a Free Callback
The SLA way to Become
a Big Data Training Expert
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
Google Reviews
Rating
4.8
1,053 Google reviews
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Discover What Our Students Have To Say
See More ReviewsPlacement Support for a Big Data Training
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
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 for
The Big Data Training
Does Big Data require coding?
1.
Yes, Big Data work usually involves coding. You often need to use languages like Python, Java, or Scala to handle and analyze large amounts of data. Coding helps manage and process the data effectively.
Is it easy to learn Big Data?
2.
Learning Big Data can be tough because it involves complex technologies. But with effort and practice, you can learn it. Begin with the fundamentals and gradually develop your skills
Can a fresher learn Big Data?
3.
Yes, a beginner can learn Big Data. It might be a bit hard at first, but with effort and the right resources, you can understand it. Start with simple lessons and progress gradually.
Is Big Data in demand?
4.
Yes, Big Data is in high demand. Companies need Big Data skills to analyze large amounts of information and make better decisions. There are many job opportunities in this growing field
Can I still join job placement events if I already have a job offer?
5.
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading Big Data online course, featuring placement support.
Does SLA support the EMI option?
6.
Yes, SLA does indeed give the option of EMI to students with 0% interest.
How does the placement team at SLA support us?
7.
The placement team at SLA enhances your job prospects by providing comprehensive support. Whether you’re a certified student looking to switch careers or entering the workforce for the first time, you’ll receive extensive assistance through our placement services. SLA offers the following premium services as part of our placement support:
- Resume building
- Career guidance and advising
- Interview practice sessions
- Career expos
What accreditation will I get once the course is completed?
8.
Upon completion of SLA’s training, you will be awarded with globally recognized course completion certificates from SLA, renowned IBM certificates, and Codeathon certificates, validating your real-time project experience.
What are the different payment options available?
9.
We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, etc
I have more queries?
10.
Please contact our course counselor by call or Whatsapp at +91 86818 84318. As an alternative, you can use our Website chat, Website form, or email us at [email protected]
Additional Information for
The Big Data Training
Our Big Data Training has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates. Our Big Data online course syllabus will teach you topics that no other institute will teach. Enroll in our Dotnet Full Stack online training to explore some innovative Top project ideas for the Big Data.
1.
Future Trends in Big Data
Big Data is constantly changing with new technology. As the amount of data increases, new tools will be developed to manage and analyze it better. Advances in AI and machine learning will make Big Data even more powerful and useful.
2.
Career Opportunities
There will be more job opportunities in Big Data as more companies use data to make decisions. Jobs like Data Analysts, Data Scientists, and Big Data Engineers will be in high demand. Professionals skilled in Big Data will find many opportunities across different industries.
3.
Impact on Industries
Big Data is changing industries by giving better insights and improving decision-making. For example, in healthcare, it helps predict patient outcomes and optimize treatments. In retail, it provides personalized recommendations to customers. As more industries use Big Data, its benefits will continue to grow.
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