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
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Big Data Hadoop And Spark Developer Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Big Data Hadoop And Spark Developer Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
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Placement Assistance
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Big Data Hadoop And Spark Developer Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Big Data Hadoop And Spark Developer Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Big Data and hadoop technologies :
Syllabus of Big Data Hadoop And Spark Developer Online Course Download syllabus
- Introduction/ Installation of Virtual Box and the Big Data VM, Introduction to Linux, Why Linux?, Windows and the Linux equivalents, Different flavors of Linux, Unity Shell (Ubuntu UI), Basic Linux Commands (enough to get started with Hadoop)
- 3V (Volume- Variety- Velocity) characteristics
- Structured and unstructured data
- Application and use cases of Big Data
- Limitations of traditional large scale systems
- HDFS Overview and Architecture
- Deployment Architecture
- Name Node
- Data Node and Checkpoint Node (aka Secondary Name Node)
- CRC Checksum
- Data Replication
- Rack awareness and block placement policy
- Small file problems
- Command-Line Interface
- File Systems
- Administrative
- Web Interfaces
- Load Balancer
- Dist cp (Distributed Copy)
- HDFS Federation
- HDFS High Availability
- Hadoop Archives
- MapReduce overview
- Functional Programming paradigms
- How to think in a MapReduce way
- Legacy MR v/s Next Generation MapReduce (YARN/ MRv2)
- Slots v/s Containers
- Schedulers
- Shuffling, Sorting
- Word Count
- Adhoc Querying
- Graph Computing Engines
- Standalone mode (in Eclipse)
- Pseudo Distributed mode (as in the Big Data VM)
- Fully Distributed mode (as in Production)
- MR API
- Different input and output formats
- Saving Binary Data using Sequence Files and Avro Files
- Hadoop Streaming (developing and debugging non Java MR programs – Ruby and Python)
- Speculative execution
- Combiners
- JVM Reuse
- Compression
- Sorting
- Term Frequency
- Inverse Document Frequency
- Student Database
- Click Stream Analysis using Pig and Hive
- Analyzing the Twitter data with Hive
- Further ideas for data analysis
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Industry Projects
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!
How Learnovita Mock Interview Works?
Big Data Hadoop And Spark Developer Online Training Objectives
- The Big Data Hadoop Administrator certification course is designed to provide professionals with the skills and knowledge necessary to become effective Hadoop administrators.
- The course covers topics such as the Hadoop Distributed File System (HDFS), Hadoop YARN, MapReduce, Apache Spark, Apache Pig, Apache Hive, Apache HBase, Apache Flume, Apache Oozie and Apache Sqoop.
- Installation and Configuration of Hadoop cluster
- Distributed Processing using MapReduce
- Data Storage/Retrieval using HDFS
- Data Manipulation using Hive, Pig, and HBase
- Data Processing using Apache Spark
- Google,
- Amazon,
- Microsoft,
- IBM,
- Oracle
- No, you don't need any special qualification to enroll in the Big Data Hadoop and Spark Developer Training. All you need is basic knowledge of computer programming and basic understanding of distributed systems and big data.
- Learning Big Data Hadoop and Spark Developer course helps in accelerating your career growth in multiple ways.
- It helps you gain the requisite skills and knowledge that are required for working on big data projects.
- It also helps you stay up-to-date with the latest big data technologies and trends.
- A basic understanding of computer programming
- Basic understanding of distributed systems and big data
- Knowledge of any programming language such as Java, Python, or Scala
- Knowledge of Linux or Unix operating systems
- Learnovita provides assistance for preparing for Big Data Hadoop and Spark Developer interviews. The assistance includes providing guidance on the preparation of resumes and cover letters, providing practice assessments to assess the candidate's skills and knowledge, and providing resources and tips on how to prepare for the interviews.
- Big Data Hadoop and Spark Developer is not a difficult technology to learn. However, it requires dedication and hard work to master the technology and understand the concepts.
- A chance to work on cutting-edge technologies
- Opportunities to work on challenging projects
- High salaries and job security
- A Big Data Hadoop and Spark Developer can expect a salary of around Rs300000 to Rs400000 per year.
Exam & Certification
- Participate and Complete One batch of Big Data Hadoop And Spark Developer Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Big Data Hadoop And Spark Developer 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 And Spark Developer Course FAQ's
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- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
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- More than 5400+ students placed in last year in India & Globally.
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- 85% percent placement record
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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.