Big Data Hadoop Developer Certification
Big Data and Hadoop have emerged as the most efficient and powerful platforms for data analysis and management. This course will help you understand Big Data and Hadoop Ecosystem tools like HDFS, YARN, MapReduce, Pig, Hive, HBase, Oozie, Spark, Flume and Sqoop.
Course Location:
- None
- Certification
- $399
- $499
- 28.2% CAGR Growth in Big Data Analytics Global Market for Apps and Analytics Technology
- 16.1% CAGR Growth in Big Data Analytics Global Market for Cloud Technology
- $187B According to IDC, Big Data revenue are estimated to cross $187 billion by 2019.
with Big Data Analysis
- Self Paced
Key Highlights
- Learn 4 Big Data and Hadoop technologies
- 1-year access to the e-learning platform
- Video content developed by ex-Google employees
- Work on real-world Big Data Analytics Project
- Learn how to work with RDD in Apache Spark
- Implement best practices for Hadoop development
Enter your details
What will you get
- Mentorship from industry experts
- 1-year access to the e-learning platform
- Real-world Big Data Analytics Projects and Case Studies
What will you learn
- Learn 4 Big Data and Hadoop technologies
- Understand Apache Spark and its Ecosystem
- Implement complex business solution using MapReduce Framework
What skills you will build
Chapter 1: Hadoop Concepts & Evolution
- Brief background of Hadoop
- Apache Hadoop and its evolution
- Data storage and analysis
- Comparison with relational database management systems (RDBMS)
Chapter 2: Basic Hadoop MapReduce Features
- Counters
- Sorting
- Joins
- Side data distribution
- MapReduce library classes
Chapter 3: Hadoop Map Reduce Types & Formats
- MapReduce types
- Input formats
- Output formats
Chapter 4: How Map Reduce Works?
- Anatomy of a MapReduce job
- Failures
- Job scheduling
- Shuffle and sort
- Task execution
Chapter 5: Basic Understanding of Hadoop Distributed File Systems (HDFS)
- HDFS concepts
- HDFS design
- Hadoop file systems
- The command line interface
- The Java interface
- Data flow
Chapter 6: Hadoop I/O Operations
- Data integrity
- Compression
- Serialization
- File based data structure
Chapter 7: Setting Up a Hadoop Cluster
- Cluster specification
- Cluster setup and installation
- Hadoop configuration
- Security
- Hadoop in the cloud
Chapter 8: Administering Hadoop Environment
- Persistent data structure
- Monitoring
- Maintenance
Chapter 9: Introduction to Hive
- Basic features of Hive
- Comparison with traditional databases
Chapter 10: Basics of Hbase
- Basics of HBase
- Comparison with traditional databases
Chapter 11: Basics of Pig
- Basics of Pig
- Comparison with Hive and other programming languages
Who should do this?
Analytics and data mining is a growing market across the world, resulting in a beneficial opportunity for all IT professionals looking to give their careers a boost by becoming experts in Big Data and Hadoop. This course can help both freshers as well as industry professionals reach greater heights in their careers, and is best suited for: Software developers, Software architects, Project managers, ETL and data warehousing professionals, Data engineers, Data analysts and business intelligence professionals, Database administrators, Senior IT professionals, Testing professionals, Mainframe professionals, Graduates looking for a promising career in Big Data.
What are the prerequisites?
There are no prerequisites for Big Data and Hadoop Developer course. However, prior knowledge of Core Java and SQL will be helpful.
How is the program structured?
-
- Register for free
- Login to Learning Management System and access the course
- Complete the course through on-demand sessions
- Solve the case studies and assignments
- Get the certification
What is the background required to learn Hadoop?
This course is designed for individuals seeking to gain expertise in the concepts of big data, tools and the platform of Hadoop needed for processing large data sets. However, basic understanding of Java or some programming is recommended.
I do not have a technical background. Will learning Hadoop help me?
It is not mandatory that you need a technical background to learn Hadoop. If you have a need to derive insights from large volumes of data in your current job or if you like to switch to a career in Data Science or Analytics, this course will help you.
Do I need to know Java for learning Hadoop?
While a basic working knowledge of Java will be of help, it is not mandatory to know Java programming for learning Hadoop. Some of the Hadoop components like Pig, Hive, etc. can be learned without knowledge of Java. There are some rare requirements to use Java which can be learned easily.
What will I learn from this training?
The purpose of the course is to provide the high-level understanding and the capabilities of Hadoop (MapReduce, HDFS), Hive, HBase, Pig, Sqoop, Scala & Spark for processing a large volume of data workloads with various industry use cases.
What if I have more queries?
Call us at +91-8588863954 or send an email to info@clevered.com. We will be glad to assist you.
Course Advisor
14+ years of experience in building analytical solutions & digital strategy for large organizations. Rich experience in conducting analytics training for over 5000 hours in the last 3 years. Conducted classroom training and online training in India & abroad. Tie-ups with several organizations & institutions for analytics training. He has helped over 30 global organizations transform their business using customer, marketing, workforce & operational analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has been instrumental in managing & growing multi-million dollars analytics projects in retail, HR, marketing & customer loyalty.
Expertise
