Certificate in Hadoop
The Certificate in Hadoop provides Candidates with a comprehensive
understanding of the Hadoop ecosystem, including Hadoop Distributed File
System (HDFS), MapReduce, and related technologies. Candidates learn
how to store, process, and analyze large volumes of data using Hadoop.
The course covers key topics such as Hadoop architecture, HDFS
fundamentals, MapReduce programming, and data processing with Hive and
Pig.
The certification covers skills in Hadoop architecture, HDFS, MapReduce programming, Hive, Pig, and basic data analysis.
Candidates
should have a basic understanding of programming concepts and
experience with Linux operating system. Familiarity with Java
programming language is beneficial.
Why is Hadoop important?
- Handles large volumes of data efficiently
- Enables distributed computing for faster data processing
- Used in big data analytics to derive insights from data
- Scalable and cost-effective solution for storing and processing big data
Who should take the Hadoop Exam?
- Big Data Engineer
- Data Analyst
- Hadoop Developer
- Data Scientist
- Database Administrator
Hadoop Certification Course Outline
- Introduction to Hadoop
- Hadoop Architecture
- HDFS Fundamentals
- MapReduce Programming
- Hive and Pig
- Data Processing and Analysis
Certificate in Hadoop FAQs
What are the career prospects after completing the exam successfully?
• Hadoop architect
• Hadoop administrator
• Hadoop tester
What are the exam objectives?
• Learning Big Data
• Apache Hadoop
• Learning HDFS
• MapReduce
• Learning YARN
• Pig
• Learning Hbase
• Sqoop and Flume
• Learning Hive
• Workflow
• Learning Hadoop Cluster Management
• Administration
• Security
• Learning NextGen Hadoop
What skills are required for this exam?
• Analytical skills
• Communication skills
• Critical thinking
• Detail-oriented
• SQL
• NoSQL
Who is the target audience for this exam?
• Software Professionals
• Analytics Professionals
• ETL developers
• Project Managers
• Architects
• Testing Professionals
What is Hadoop?
The demand for Hadoop professionals is increasing due to companies inclining towards Big Data. The basic job of a Hadoop professional is to analyse Big Data and extract meaningful information out of it. Hadoop has a special ability that allows its users to store all sets of data in a distributed way. This method allows you to store a large amount of data efficiently and hence make the analysing process more flexible.
What are the roles and responsibilities of these professionals?
Some of the major roles and responsibilities of Hadoop professionals include the following:
• Responsible for the documentation, design, development, and architecture of Hadoop applications
• Handling the installation, configuration, and supporting of Hadoop
• Write MapReduce coding for Hadoop clusters
• Design web applications for querying data
• Converting hard and complex techniques into detailed designs
• Performing testing of software prototypes and transfer to the operational team
• Maintaining data security and privacy
• Perform analysis of a large amount of data stores and derive insights