Big Data Hadoop Certification Training Course
4.5 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Big Data Hadoop Certification Training Course at Simplilearn Overview
Duration | 30 hours |
Mode of learning | Online |
Difficulty level | Beginner |
Credential | Certificate |
Big Data Hadoop Certification Training Course at Simplilearn Highlights
- Hands on Project, Dedicated email support
- Course completion certificate from Simplilearn.
- Learn from eminent advisor of Hadoop & Spark Course
- Certification Course
Big Data Hadoop Certification Training Course at Simplilearn Course details
- Big Data Hadoop training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including: Software Developers and Architects, Analytics Professionals, Senior IT professionals, Testing and Mainframe Professionals, Data Management Professionals, Business Intelligence Professionals, Project Managers, Aspiring Data Scientists, Graduates looking to begin a career in Big Data Analytics
- Learn at your own pace
- Get lifetime access to 10 hours of world-class on-demand video content
- Work on 4 live projects using Hadoop Big data stack, and Hive
- Learn 10+ Big Data tools for hands-on training
- Get Simplilearn certificate upon course completion
- 24x7 learner assistance and platform support
- 4 real-life industry projects using Hadoop, Hive and Big data stack
- Training on Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark
- The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Big Data course, you will execute real-life, industry-based projects using Integrated Lab.
Big Data Hadoop Certification Training Course at Simplilearn Curriculum
Lesson 1 Course Introduction
1.1 Course Introduction
1.2 Accessing Practice Lab0
Lesson 2 Introduction to Big Data and Hadoop
1.1 Introduction to Big Data and Hadoop
1.2 Introduction to Big Data
1.3 Big Data Analytics
1.4 What is Big Data
1.5 Four Vs Of Big Data
1.6 Case Study: Royal Bank of Scotland
1.7 Challenges of Traditional System
1.8 Distributed Systems
Lesson 3 Hadoop Architecture,Distributed Storage (HDFS) and YARN
2.1 Hadoop Architecture Distributed Storage (HDFS) and YARN
2.2 What Is HDFS0
2.3 Need for HDFS01
2.4 Regular File System vs HDFS
2.5 Characteristics of HDFS03
2.6 HDFS Architecture and Components
2.7 High Availability Cluster Implementations
2.8 HDFS Component File System Namespace
Lesson 4 Data Ingestion into Big Data Systems and ETL01:
3.1 Data Ingestion into Big Data Systems and ET
3.2 Data Ingestion Overview Part One0
3.3 Data Ingestion0
3.4 Apache Sqoop0
3.5 Sqoop and Its Uses
3.6 Sqoop Processin
3.7 Sqoop Import Process
Assisted Practice: Import into Sqoop
3.8 Sqoop Connectors
3.9 Demo: Importing and Exporting Data from MySQL to HDFS
Lesson 5 Distributed Processing - MapReduce Framework and Pig
4.1 Distributed Processing MapReduce Framework and Pig
4.2 Distributed Processing in MapReduce
4.3 Word Count Example
4.4 Map Execution Phases
4.5 Map Execution Distributed Two Node Environment
4.6 MapReduce Jobs
4.7 Hadoop MapReduce Job Work Interaction
4.8 Setting Up the Environment for MapReduce Development
4.9 Set of Classes
4.10 Creating a New Project
Lesson 6 Apache Hive
5.1 Apache Hive
5.2 Hive SQL over Hadoop MapReduce
5.3 Hive Architecture
5.4 Interfaces to Run Hive Queries
5.5 Running Beeline from Command Line
5.6 Hive Metastore
5.7 Hive DDL and DML02
5.8 Creating New Table
5.9 Data Types
5.10 Validation of Data
Big Data Hadoop Certification Training Course at Simplilearn Entry Requirements
- Professionals entering into Big Data Hadoop certification program should have a basic understanding of Core Java and SQL
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