Big Data Hadoop Training in Electronic City
Let eMexo Technologies Best Big Data Hadoop Training in Electronic City Bangalore take you from the fundamentals of Hadoop to Advance Hadoop and make you an expert in developing real time Hadoop applications. Here are the major topics we cover under this Hadoop course Syllabus, Introduction to Big Data, Introduction Apache Hadoop, MapReduce, Apache Hive, Apache Pig, Apache Hbase, Apache Sqoop Apache Flume, Impala, Apache Spark and related Projects. Each topic will be covered in practical way with examples.
All the topics will be covered with Practical and hands on training. Our trainers have industry experience with live project experience in cutting edge technologies which they teach. We hire only Best Hadoop industry specialists as trainer for our Big Data Hadoop Training in Electronic City.
If you are looking for Big Data Hadoop Training in Electronic City, eMexo Technologies is the Best Big Data Hadoop Training Institute in Electronic City. Come over to our training institute for a free demo class. Let our trainer give you a demo on Hadoop and only then you take the decision to enroll into the Big Data Hadoop Training in Electronic City.
Big Data Hadoop Training Institute in Electronic City Features
FAQs
Book Your Free Demo Class For Big Data Hadoop Training in Electronic City
-
Introduction to Big Data
- Big Data relies on volume, velocity, and variety with respect to processing.
- Data can be divided into three types—unstructured data, semi-structured data, and structured data.
- Big Data technology understands and navigates big data sources, analyzes unstructured data, and ingests data at a high speed.
-
Introduction Apache Hadoop
-
MapReduce
-
Apache Hive
- Introduction to Hive
- Hive features
- Hive architecture flow
- Hive vs Pig
- HCatalog
- Hive Limitations
- Hive Data Types
- Hive Complex Data Types
- DML/DDL commands explanation
- Hive data loading
- Hive Functions
- Hive Joins
- Partitioning static & Dynamic logic
- Bucketing logic
- Skewed by logic
- Hive File formats
- Performance Techniques
- Hive script execution in shell & HUE
- Hive exercises
- Hive hands on
-
Apache Pig
- Introduction to Pig concepts and Architecture
- Pig Components
- Pig Execution modes
- Pig Latin Basics
- Pig Data Flow
- Pig Latin Concepts
- Pig Commands
- Pig Data Types
- Pig Latin – Examples
- Advanced Pig Programming concepts like COGROUP, pig UDF
- Pig modes of execution
- Pig script execution in shell/HUE
- Pig hands on
-
Apache Hbase
-
Apache Sqoop
- Introduction to Sqoop concepts
- Sqoop internal design/architecture
- Sqoop Import statements concepts
- Sqoop Export Statements concepts
- Quest Data connectors flow
- Incremental updating concepts
- Creating a database in MySQL for importing to HDFS
- Sqoop commands execution in shell/HUE
- Sqoop Examples
- Sqoop Hands on
-
Apache Flume
-
Impala
-
Apache Spark
-
Project