Big Data Hadoop Training in Chennai
Big Data Hadoop refers to a collection of open-source software utilities that facilitate the processing of large and complex data sets, often referred to as "big data." It is designed to handle massive volumes of data that cannot be managed by traditional data processing tools.Big Data Hadoop is a critical tool in the realm of big data analytics, allowing organizations to efficiently process and analyze massive amounts of data to extract valuable insights and inform decision-making.
Key Features of Big Data Hadoop Training in Chennai
Experienced Trainer
Learn technology with a experienced professional who have expertise in their particular technology.
Doubt Resolution
We are providing training based on practical oriented approach which aims to clear all doubts by giving more practice while learning
Job Oriented Training
We are providing job oriented course training which focuses on the knowledge and skills required for the job.
Flexible Timings
We believe that everyone should get the opportunity to learn their desired course. So we provide flexibility timings.
Live Project
In live project to Known what, why and how of any application build in that technology.
Lifetime Access
We offer lifetime access to our learning system which make trainees to gain all the knowledge and skills required for the job.
Big Data Hadoop Training in Chennai - Course Overview
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Our Big Data Hadoop Course in chennai
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Big Data Hadoop Course Syllabus
Introduction to Big Data
Overview of Big Data
Characteristics and Importance
Types of Data (Structured, Unstructured, Semi-structured)
Challenges in Traditional Data Processing
Hadoop Fundamentals
Introduction to Hadoop
Hadoop Distributed File System (HDFS)
MapReduce Paradigm
Hadoop Ecosystem Components (e.g., Pig, Hive, HBase)
Setting up a Hadoop Cluster
Hadoop Architecture and Components
Hadoop Cluster Architecture
Master-Slave Architecture
JobTracker and TaskTracker
NameNode and DataNode
Secondary NameNode
Data Ingestion and Storage
Data Ingestion Techniques
Data Compression
Avro and Parquet Formats
Storage Optimization
Data Replication and Backup
MapReduce Programming
MapReduce Concepts
Writing MapReduce Jobs
Mapper and Reducer Functions
Input and Output Formats
MapReduce Job Optimization
Data Processing with Pig and Hive
Introduction to Pig
Pig Latin Language
Data Processing with Pig
Introduction to Hive
HiveQL and Data Querying
HBase and NoSQL Databases
Introduction to HBase
HBase Data Model
HBase Shell and APIs
NoSQL Databases Overview
Cassandra and MongoDB
Data Analysis with Spark
Introduction to Apache Spark
Spark Architecture and Components
RDDs and DataFrames
SparkSQL and Data Analysis
Spark Streaming
Data Integration and ETL
Data Integration Tools (e.g., Talend, Pentaho)
ETL Processes
Data Pipelines and Workflows
Data Quality and Cleansing
ETL Best Practices
Data Warehousing and Business Intelligence
Data Warehousing Concepts
Dimensional Modeling
ETL in Data Warehousing
OLAP and Data Cubes
BI Tools (e.g., Tableau, Power BI)
Data Governance and Security
Data Governance Frameworks
Data Privacy and Compliance
Data Security Best Practices
Access Control and Encryption
Auditing and Monitoring
Upcoming Big Data Hadoop Training in Chennai Batches
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