What You'll Learn
Fundamentals of Big Data and Hadoop ecosystem architecture, tools, and applications.
Big Data Hadoop Analyst Online Course Hadoop Distributed File System (HDFS) and cluster setup.
Big Data Hadoop Analyst Online Training MapReduce programming for large-scale data processing.
Data warehousing with Hive and Pig scripting for analytics, processing, and reporting.
Data visualization and analytics with tools like Tableau/Power BI.
Hadoop security, monitoring, and performance optimization.
Big Data Hadoop Analyst Training Objectives
- It's a free, publicly-available infrastructure for performing data computations in parallel. The platform is universally accepted for handling large amounts of data. Its roots can be traced back to the Google File System and MapReduce research papers. Pig, Hive, Kafka, etc. are all part of this larger ecosystem project.
- In-depth knowledge of Big Data and Hadoop, including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce.
- Pig, Hive, Sqoop, Flume, Oozie, and HBase are some of the tools that are part of the Hadoop Ecosystem.
- The ability to put data in HDFS using Sqoop and Flume and then analyse those large datasets in HDFS
- Many real-world industry projects that will be done in Edureka's CloudLab will give students a chance to learn from the real world.
- Projects that are different from one another and use data from many different areas, like banking, telecommunications, social media, insurance, and e-commerce.
- Creators of Computer Code and Network Administrators
- Professionals with relevant work experience and seasoned project managers
- Developers with experience in the Big Data Hadoop ecosystem who are interested in diversifying their skill sets to include testing, analytics, and administration
- Experts in the Mainframe Industry, Including Architects and Testers
- Competent Experts in Business Analytics, Data Warehousing, and Related Fields
- Students at all levels of education who are interested in Big Data
- Learn the basics of Hadoop and YARN and write programmes that use them.
- HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and ZooKeeper Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX, and MLlib
- Writing Spark apps
- Using the Avro file format
- Putting Hadoop and Apache Spark to use in real-world projects
- Get ready to pass the Big Data Hadoop Certification exam.
- There are no prerequisites for enrolling in and mastering this Big Data course. The fundamentals of UNIX, SQL, and Java would be useful for learning Big Data Hadoop. At Intellipaat, we give complementary Linux and Java training with our Big Data certification course to ensure that you have the necessary abilities to proceed with your technological education.
- Master the HDFS (Hadoop Distributed File System) and YARN (Yet Another Resource Negotiator) concepts and know how to work with Hadoop storage and resource management.
- MapReduce Framework: Know What It Is
- MapReduce can be used to make complex business solutions.
- Learn how to bring in data using Sqoop and Flume.
- Using Pig and Hive, you can do ETL operations and data analysis.
- Using Hive to implement partitioning, bucketing, and indexing
- Learn about HBase, which is a NoSQL database in Hadoop, as well as its architecture and how it works.
- Combine HBase and Hive.
- Hadoop Market is expected to reach $99.31B by 2022, with a CAGR of 42.1%, according to Forbes.
- McKinsey predicts that by 2018, there will be a shortage of 1.5M data experts.
- Average pay for Big Data Hadoop Developers is $97k
- You will be equipped with the practical and theoretical understanding required by the business, and you will become a certified Hadoop professional ready to take on Big Data Projects in top firms.
- Customer Acquisition and Retention
- Focused and Targeted Promotions
- Identifying Potential Risks
- Innovate
- Complex Supplier Networks
- Cost Optimization
- Improving Efficiency
- Deep diving into any Apache project or other big data software makes it easy to learn about new big data technologies and write code for them. The problem is that we are not robots, so we can't learn everything. Mastering every tool, technology, or programming language is very hard.
- Hadoop skills are in high demand - this is evident! As a result, there is an urgent requirement for IT experts to stay current with Hadoop and Big Data technologies. Apache Hadoop allows you to advance your profession and provides you with the following benefits: Career advancement has been accelerated.
- Data Engineer.
- Business Analyst and Visualization Expert
- Professional in machine learning
- Analytics Professional.
- Solution designer.
- Architect of solutions for Big Data.
- Big Data Analyst.
Request more informations
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Benefits of Big Data Hadoop Analyst Course
Big Data Hadoop Analyst Certification Course support offers dual expertise in data storage and advanced analytics. Big Data Hadoop Analyst Course with Placement your proficiency in handling distributed computing, batch processing, and real-time analytics. With career guidance, mock interviews, and SQL-to-Hadoop migration practice, learners are well-prepared for roles like Big Data Analyst, Hadoop Developer, and Data Engineer.
- Designation
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Annual SalaryHiring Companies
About Your Big Data Hadoop Analyst Training
Big Data Hadoop Analyst Online Course teaches distributed storage, data processing, and analytics with Hadoop, Hive, Spark, and related tools. Learners gain practical experience through Big Data Hadoop Analyst Internship and Big Data Hadoop Analyst Projects like e-commerce recommendation systems, fraud detection, and social media analytics, ensuring career readiness.
Top Skills You Will Gain
- Data Processing
- Cluster Management
- Query Optimization
- Workflow Scheduling
- Log Analysis
- Performance Tuning
- Security Implementation
- Real-time Analytics
12+ Big Data Hadoop Analyst Tools
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Not Just Studying
We’re Doing Much More!
Empowering Learning Through Real Experiences and Innovation
Big Data Hadoop Analyst Course Curriculam
Trainers Profile
Trainers are experts in the field of data analysis, and they have the skills and knowledge to help you master the techniques and tools you'll need to succeed in this field. They'll also be up-to-date on the latest trends and technologies in the field, and they'll be able to help you develop the skills you need to stay ahead of the curve.
Syllabus of Big Data Hadoop Analyst Online Course Download syllabus
- What is Big Data
- Evolution of Big Data
- Benefits of Big Data
- Operational vs Analytical Big Data
- Need for Big Data Analytics
- Big Data Challenges
- Master Nodes
- Name Node
- Secondary Name Node
- Job Tracker
- Client Nodes
- Slaves
- Hadoop configuration
- Setting up a Hadoop cluster
- Introduction to HDFS
- HDFS Features
- HDFS Architecture
- Blocks
- Goals of HDFS
- The Name node & Data Node
- Secondary Name node
- The Job Tracker
- The Process of a File Read
- How does a File Write work
- Data Replication
- Introduction to Yarn
- Why Yarn
- Classic MapReduce v/s Yarn
- Advantages of Yarn
- Yarn Architecture
- Resource Manager
- Node Manager
- Application Master
- Scheduling in Yarn
- Fair Scheduler
- Capacity Scheduler
- Fault tolerance
- What is MapReduce
- Why MapReduce
- How MapReduce works
- Difference between Hadoop 1 & Hadoop 2
- Identity mapper & reducer
- Data flow in MapReduce
- Input Splits
- What is Hadoop
- History of Hadoop
- Hadoop Architecture
- Hadoop Ecosystem Components
- How does Hadoop work
- Why Hadoop & Big Data
- Hadoop Cluster introduction
- Cluster Modes
- Starting HDFS
- Listing files in HDFS
- Writing a file into HDFS
- Reading data from HDFS
- Shutting down HDFS
- Listing contents of directory
- Displaying and printing disk usage
- Moving files & directories
- Copying files and directories
- Displaying file contents
- Object oriented concepts
- Variables and Data types
- Static data type
- Primitive data types
- Objects & Classes
- Java Operators
- Looping in Java
- Access Modifiers
- Inheritance
- Polymorphism
- Hadoop data types
- The Mapper Class
- The Reducer Class
- The Job class
- JobContext interface
- Combiner Class
- Partitioners
Request more informations
WhatsApp (For Call & Chat):
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Industry Projects
Exam & Certification
- Participate and Complete One batch of Big Data Hadoop Analyst Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Big Data Hadoop Analyst course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Our learners
transformed their careers
A majority of our alumni
fast-tracked into managerial careers.
Get inspired by their progress in the Career Growth Report.
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How are the Big Data Hadoop Analyst Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Big Data Hadoop Analyst Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Big Data Hadoop Analyst Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Big Data Hadoop Analyst Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Big Data Hadoop Analyst Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Big Data Hadoop Analyst Certifications With Global Validity.
Basic Big Data Hadoop Analyst Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Strong Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to Big Data Hadoop Analyst Course Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
Big Data Hadoop Analyst Course FAQ's
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
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