Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Big data Course in OMR

(1987)
Live Online & Classroom Training
EMI
0% Interest

Our Big Data Training in OMR at SLA Institute provides comprehensive education in managing and analyzing large datasets. Our course covers crucial topics like Hadoop, Spark, data warehousing, and data mining. Through hands-on projects and real-world case studies, you’ll gain practical skills for handling complex data environments. Expert instructors at SLA Institute offer personalized support to ensure a deep understanding of both theoretical and practical aspects. The course also includes Big Data Course in OMR with 100% Placement Support, providing job placement assistance to help you launch your career in this rapidly growing field. Whether you’re starting out or aiming to enhance your expertise, this course equips you for success in the data-driven world.

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our Big data Course in OMR Syllabus covers all essential topics, providing you with a comprehensive understanding of Big data development.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
September 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
September 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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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Big data Course in OMR

The Big data Course in OMR aims to achieve several goals to help you become skilled in web development using Big data. Throughout the course, you’ll:

  • Learn Big Data Basics: Understand the key concepts of big data, including how it’s stored, processed, and analyzed.
  • Use Key Tools: Get hands-on experience with important tools like Hadoop, Spark, and NoSQL databases for managing and analyzing large datasets.
  • Process Data: Learn techniques for handling and transforming data to work with complex data sets.
  • Analyze Data: Apply statistical and machine learning methods to find valuable insights from big data.
  • Work on Projects: Complete practical projects to solve real-world data problems and develop data-driven solutions.
  • Visualize Data: Learn how to create effective visualizations to communicate insights and aid decision-making.

Future Scope of Big data Course in OMR

Growing Need for Data Experts

The future for those taking the Big Data Course in OMR is very promising. More and more companies are using data to make decisions, so there’s a strong demand for professionals who can handle and analyze this data. Completing the course will prepare you for popular jobs like data analyst or data scientist.

Evolving Technology

Big data technology keeps changing with new tools and updates. This course will teach you the latest in big data technologies, such as Hadoop and Spark, so you stay up-to-date and ready to work with the newest tools.

Expanding Uses Across Industries

Big data isn’t just for one industry; it’s used in many areas like finance, healthcare, and retail. As more companies use data to improve their operations, there will be more job opportunities. This course prepares you to work in various industries, giving you many career choices.

Specialization Opportunities

With a basic understanding of big data, you can specialize in areas like machine learning or artificial intelligence. These fields are growing quickly and offer exciting career paths. The course will help you build a strong foundation to explore these specialized areas.

Career Growth

The Big Data Course in OMR will give you essential skills for a successful career. As you gain experience and continue learning, you’ll find many opportunities to advance in your career, including leadership roles and specialized positions in the big data field.

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Project Practices on Big data Training

Project 1Data Processing Pipeline

Build a data processing pipeline using Hadoop and Spark. This project involves setting up data ingestion, transformation, and storage workflows. You’ll handle large datasets, optimize data processing, and ensure efficient data flow across the pipeline.

Project 2Real-Time Data Analytics

Develop a real-time data analytics application using Apache Kafka and Spark Streaming. This project focuses on streaming data from various sources, performing live analysis, and visualizing results. You’ll gain hands-on experience with real-time data handling and analytics.

Project 3NoSQL Database Management

Create and manage a NoSQL database using MongoDB or Cassandra. This project includes designing the database schema, implementing data storage solutions, and performing queries. You’ll learn to handle unstructured data and optimize database performance.

Project 4Data Visualization Dashboard

Design an interactive data visualization dashboard using tools like Tableau or Power BI. This project involves integrating data sources, creating visualizations, and developing an intuitive interface for data exploration. You’ll focus on presenting complex data insights clearly and effectively.

Prerequisites for learning Big data Course in OMR

To join our Big data Training in OMR at SLA Institute, no specific prior knowledge is required. Whether you’re new to programming or have some experience, everyone is welcome. However, having a foundational understanding of the following can be beneficial:

  • Basic Computer Skills: Know how to use computers and software effectively, including basic troubleshooting.
  • Programming Knowledge: Understand the basics of programming languages like Python or Java, which are used in big data analysis.
  • Database Understanding: Have a basic knowledge of how databases work and some experience with SQL for managing and retrieving data.
  • Math and Statistics: Basic skills in math and statistics are useful for analyzing data and understanding algorithms.
  • Interest in Technology: Be genuinely interested in technology and data to stay motivated and engaged throughout the course.

Our Big Data Course in OMR is ideal to:

  • Students eager to excel in Big data 
  • Professionals considering transitioning to Big data careers
  • IT professionals aspiring to enhance their Big data skills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in Big data 

Job Profile in Big data Course in OMR

In the Big data Course in OMR at SLA Institute, participants acquire crucial skills for managing and deploying cloud solutions using Big data. These skills prepare them for a range of career opportunities in cloud computing, from developing scalable applications to optimizing cloud infrastructure.

Data Analyst

  • Role: Analyze and interpret complex data sets to help organizations make informed decisions.
  • Responsibilities: Collect, clean, and process data from various sources; perform statistical analysis; create reports and visualizations; and provide actionable insights based on data trends.
  • Skills: Proficiency in data analysis tools and languages (e.g., Python, R), experience with data visualization tools (e.g., Tableau, Power BI), and strong analytical and problem-solving skills.
  • Salary: ₹5-12 lakhs per annum, depending on experience and location.

Data Engineer

  • Role: Design, build, and manage the infrastructure and tools required for data storage and processing.
  • Responsibilities: Develop and maintain data pipelines, ensure data quality and integrity, and optimize data storage solutions. Engage with big data technologies such as Hadoop and Spark.
  • Skills: Knowledge of big data technologies (e.g., Hadoop, Spark), experience with SQL and NoSQL databases, and programming skills in languages like Java or Python.
  • Salary: ₹8-18 lakhs annually, varying based on experience and location.

Data Scientist

  • Role: Use statistical methods and machine learning algorithms to analyze data and build predictive models.
  • Responsibilities: Develop and test models to solve business problems, analyze data patterns, and generate insights to guide decision-making. Communicate findings through reports and visualizations.
  • Skills: Advanced knowledge of machine learning algorithms, programming skills (e.g., Python, R), and experience with data analysis and visualization tools.
  • Salary: ₹10-25 lakhs per annum, depending on experience and location.

Big Data Architect

  • Role: Design and implement large-scale data systems and solutions.
  • Responsibilities: Create the architecture for big data systems, manage data storage and processing solutions, and ensure scalability and performance. Work with various big data technologies and frameworks.
  • Skills: Expertise in big data technologies (e.g., Hadoop, Spark), strong knowledge of data architecture and system design, and experience with cloud platforms.
  • Salary: ₹15-30 lakhs per annum, depending on experience and location.

These roles offer diverse opportunities in the tech industry, each requiring specialized cloud skills. Completing the Big data Course in OMR equips you with the essential knowledge to excel in these positions and advance in your cloud computing career.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Big data Course FAQ

What is Big data?

Big data refers to huge and complex data sets that are too large for traditional tools to handle. It includes various types of data from different sources, processed quickly to uncover insights and support decision-making.

Is Big data easy or hard?

Big data can be easy or hard, depending on your experience. The basics are straightforward, but dealing with large datasets and advanced tools can be tough. With practice and proper training, working with big data gets easier and more rewarding.

What is Big data used for?

Big data is used to analyze large amounts of information to help businesses make better decisions. It reveals trends and patterns, improves customer experiences, optimizes operations, and helps predict future trends.

Is coding required for big data?

Yes, coding is usually needed for big data. Learning languages like Python or Java helps with processing and analyzing data. Even though some tools are easy to use, coding skills make it easier to work with big data.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.’

Is Big data a good career?

Yes, a career in big data is a great choice. There’s high demand for experts, good pay, and exciting work with the latest technology. It’s a growing field with many opportunities for advancement.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

On Average Students Rated The Big data Course 4.80/5.0
(1987)
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