Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Data analysis
- Big data management
- Java and Python
- Data structures
- Linux commands
- Core Java concepts
- Big Data processing
Big Data Hadoop Analyst Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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From Industry Big Data Hadoop Analyst Experts -
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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.
Pre-requisites
A basic knowledge of Linux commands and SQL is also highly recommended. It's also important to have a strong foundation in data structures and algorithms. You need to have a good understanding of core Java concepts, as Hadoop is written in Java.
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
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Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
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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.
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.
Recently placed students
Pranav Srinivas
Software Testing, CapgeminiBig Data Hadoop Analyst Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.