#1
January 19th, 2016, 08:13 AM
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Hadoop Classes
Hey buddy I’m looking for the information about Big Data And Hadoop Certification program conducted by Simpli learn for that will you please help me?
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#2
January 19th, 2016, 08:13 AM
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Re: Hadoop Classes
As per your demand I will help you here to gte the information about Big Data And Hadoop Certification program conducted by Simpli learn for there students. Big Data and Hadoop Certification Training from Simplilearn is designed to ensure that you are job ready to take up an assignment in Big Data. This training not just equips you with essential skills of Hadoop 2.7, but also gives you the required work experience in Big Data Key features of the program 36 hours of Instructor led Training 24 hours of High Quality e-learning 60 hours of industry projects with 3.5 Bn. data points Hands-on projects execution with CloudLab Access to On Demand support Get experience certificate in Hadoop 2.7 Here is the program structure Lesson - Course Introduction Course Introduction Why Big Data What is Big Data What is Big Data (contd) Facts about Big Data Evolution of Big Data Case Study—Netflix and the House of Cards Market Trends Course Objectives Course Details Project Submission and Certification On Demand Support Key Features Lesson - Introduction to Big Data and Hadoop Introduction to Big Data and Hadoop Objectives Data Explosion Types of Data Need for Big Data Big Data and Its Sources Characteristics of Big Data Characteristics of Big Data Technology Knowledge Check Leveraging Multiple Data Sources Traditional IT Analytics Approach Traditional IT Analytics Approach (contd) Big Data Technology—Platform for Discovery and Exploration Big Data Technology—Platform for Discovery and Exploration (contd) Big Data Technology—Capabilities Big Data—Use Cases Handling Limitations of Big Data Introduction to Hadoop History and Milestones of Hadoop Organizations Using Hadoop VMware Player—Introduction VMware Player—Hardware Requirements Oracle VirtualBox to Open a VM Installing VM using Oracle VirtualBox Demo Opening a VM using Oracle VirtualBox Demo Lesson - Hadoop Architecture Hadoop Architecture Objectives Key Terms Hadoop Cluster Using Commodity Hardware Hadoop Configuration Hadoop Core Services Apache Hadoop Core Components Why HDFS What is HDFS HDFS—Real-life Connect Regular File System vs HDFS HDFS—Characteristics HDFS—Key Features HDFS Architecture NameNode in HA mode NameNode HA Architecture HDFS Operation Principle File System Namespace NameNode Operation Data Block Split Benefits of Data Block Approach HDFS—Block Replication Architecture Replication Method Data Replication Topology Data Replication Representation HDFS Access Business Scenario Create a new Directory in HDFS Demo Spot the Error Case Study Case Study - Demo Lesson - Hadoop Deployment Hadoop Deployment Objectives Ubuntu Server—Introduction Installation of Ubuntu Server Business Scenario Installing Ubuntu Server Demo Hadoop Installation—Prerequisites Hadoop Installation Installing Hadoop Demo Hadoop Multi-Node Installation—Prerequisites Steps for Hadoop Multi-Node Installation Single-Node Cluster vs Multi-Node Cluster Creating a Clone of Hadoop VM Demo Performing Clustering of the Hadoop Environment Demo Spot the Error Case Study Case Study - Demo Lesson - Introduction to MapReduce Introduction to YARN and MapReduce Objectives Why YARN What is YARN YARN—Real Life Connect YARN Infrastructure YARN Infrastructure (contd) ResourceManager Other ResourceManager Components ResourceManager in HA Mode ApplicationMaster NodeManager Container Applications Running on YARN Application Startup in YARN Application Startup in YARN (contd) Role of AppMaster in Application Startup Why MapReduce What is MapReduce MapReduce—Real-life Connect MapReduce—Analogy MapReduce—Analogy (contd) MapReduce—Example Map Execution Map Execution—Distributed Two Node Environment MapReduce Essentials MapReduce Jobs MapReduce and Associated Tasks Hadoop Job Work Interaction Characteristics of MapReduce Real-time Uses of MapReduce Prerequisites for Hadoop Installation in Ubuntu Desktop Steps to Install Hadoop Business Scenario Set up Environment for MapReduce Development Small Data and Big Data Uploading Small Data and Big Data Installing Ubuntu Desktop OS Demo Build MapReduce Program Build a MapReduce Program Demo Hadoop MapReduce Requirements Steps of Hadoop MapReduce MapReduce—Responsibilities MapReduce Java Programming in Eclipse Create a New Project Checking Hadoop Environment for MapReduce Build a MapReduce Application using Eclipse and Run in Hadoop Cl Demo MapReduce v Spot the Error Case Study Case Study - Demo Lesson - Advanced HDFS and MapReduce Advanced HDFS and MapReduce Objectives Advanced HDFS–Introduction HDFS Benchmarking Setting Up HDFS Block Size Decommissioning a DataNode Business Scenario HDFS Demo Setting HDFS block size in Hadoop Demo Advanced MapReduce Interfaces Data Types in Hadoop Data Types in Hadoop (contd) InputFormats in MapReduce OutputFormats in MapReduce Distributed Cache Using Distributed Cache–Step Using Distributed Cache–Step Using Distributed Cache–Step Joins in MapReduce Reduce Side Join Reduce Side Join (contd) Replicated Join Replicated Join (contd) Composite Join Composite Join (contd) Cartesian Product Cartesian Product (contd) MapReduce program for Writable classes Demo Spot the Error Case Study Case Study - Demo Lesson - Pig Pig Objectives Why Pig What is Pig Pig—Real-life Connect Components of Pig How Pig Works Data Model Nested Data Model Pig Interactive Modes Salient Features Pig vs SQL Pig vs SQL—Example Additional Libraries for Pig Installing Pig Engine Steps to Installing Pig Engine Business Scenario Steps to Run a Sample Program to Test Pig Getting Datasets for Pig Development Prerequisites to Set the Environment for Pig Latin Loading and Storing Methods Script Interpretation Various Relations Various Pig Command Spot the Error Pig Execution Modes Installing Pig in Ubuntu Server LTS Demo Convert Unstructured Data into Equivalent Words Demo Loading Files into Relations Demo Finding the Number of Occurrences of a particular Word Demo Performing Combining, Splitting, and Joining relations Demo Performing Transforming and Shaping Relations Demo Case Study Case Study - Demo Lesson - Hive Hive Objectives Why Hive What is Hive Hive–Characteristics Hive–Architecture and Components Metastore Driver Hive Thrift Server Client Components Basics of Hive Query Language Data Model—Tables Data Model—External Tables Data Types in Hive Data Model—Partitions Bucketing in Hive Serialization and Deserialization Hive File Formats Hive Query Language Running Hive Programming in Hive Hive Query Language—Extensibility User-Defined Function Built-In Functions Other Functions in Hive MapReduce Scripts UDF/ UDAF vs MapReduce Scripts New Features supported in Hive Business Scenario Installing Hive in Ubuntu Server LTS Demo Advanced Data Analytics Demo Determining Word Count Demo Partitioning with Hive Demo Spot the Error Case Study Case Study - Demo Lesson - HBase Hbase Objectives Why HBase What is HBase HBase—Real-life Connect Characteristics of HBase Companies Using HBase HBase Architecture HBase Components Storage Model of HBase Row Distribution of Data between RegionServers Data Storage in HBase Data Model When to Use HBase HBase vs RDBMS Installation of HBase Configuration of HBase Business Scenario Connecting to HBase HBase Shell Commands Spot the Error Installing and configuring HBase Demo Case Study Case Study - Demo Lesson - Commercial Distribution of Hadoop Commercial Distribution of Hadoop Objectives Cloudera—Introduction Cloudera CDH Downloading the Cloudera VM Starting the Cloudera VM Logging into Hue Cloudera Manager Logging into Cloudera Manager Business Scenario Download,start and Work with Cloudera VM Demo Eclipse with MapReduce in Cloudera's Quickstart VM Demo Hortonworks Data Platform MapR Data Platform Pivotal HD Pivotal HD (contd) IBM InfoSphere BigInsights IBM InfoSphere BigInsights (contd) Lesson - ZooKeeper, Sqoop, and Flume ZooKeeper, Sqoop, and Flume Objectives Why ZooKeeper What is ZooKeeper Features of ZooKeeper Challenges Faced in Distributed Applications Coordination Goals and Uses of ZooKeeper ZooKeeper Entities ZooKeeper Data Model Znode Client API Functions Recipe —Cluster Management Recipe —Leader Election Recipe —Distributed Exclusive Lock Business Scenario View ZooKeeper Nodes Using CLI Demo Why Sqoop What is Sqoop Sqoop—Real-life Connect Sqoop and Its Uses Sqoop and Its Uses (contd) Benefits of Sqoop Sqoop Processing Sqoop Execution—Process Importing Data Using Sqoop Sqoop Import—Process Sqoop Import—Process (contd) Importing Data to Hive and HBase Exporting Data from Hadoop Using Sqoop Sqoop Connectors Sample Sqoop Commands Business Scenario Install Sqoop Demo Import Data on Sqoop Using MySQL Database Demo Export Data Using Sqoop from Hadoop Demo Why Flume Apache Flume—Introduction Flume Model Flume—Goals Scalability in Flume Flume—Sample Use Cases Business Scenario Configure and Run Flume Agents Demo Spot the Error Case Study—ZooKeeper Case Study—ZooKeeper—Demo Case Study—Sqoop Case Study—Sqoop—Demo Case Study—Flume Case Study—Flume—Demo Lesson - Ecosystem and Its Components Ecosystem and Its Components Objectives Apache Hadoop Ecosystem File System Component Data Store Components Serialization Components Job Execution Components Work Management, Operations, and Development Components Security Components Data Transfer Components Data Interactions Components Data Interactions Components (contd) Analytics and Intelligence Components Search Frameworks Components Graph-Processing Framework Components Apache Oozie Apache Oozie Workflow Apache Oozie Workflow (contd) Introduction to Mahout Schedule workflow with Apache Oozie Demo Introduction to Mahout (contd) Features of Mahout Usage of Mahout Usage of Mahout (contd) Apache Cassandra Characteristics of Apache Cassandra Apache Spark Apache Spark Tools Key Concepts of Apache Spark Apache Spark—Example Building a program using Apache Spark Demo Hadoop Integration Spot the Error Case Study Case Study - Demo Lesson - Hadoop Administration, Troubleshooting, and Security Hadoop Administration, Troubleshooting, and Security Objectives Typical Hadoop Core Cluster Load Balancer Commands Used in Hadoop Programming Different Configuration Files of Hadoop Cluster Properties of hadoop-default.xml Hadoop Cluster–Critical Parameters Hadoop DFS Operation–Critical Parameters Port Numbers for Individual Hadoop Services Performance Monitoring Performance Tuning Parameters of Performance Tuning Troubleshooting and Log Observation Apache Ambari Key Features of Apache Ambari Business Scenario Troubleshooting a Missing DataNode Issue Demo 01 Optimizing a Hadoop Cluster Demo 02 Hadoop Security—Kerberos Kerberos—Authentication Mechanism Kerberos Configuration—Steps Data Confidentiality Spot the Error Usage of Trademarks Case Study Case Study - Address:- Simplilearn Americas LLC 10 Victor Square #250 Scotts Valley, California 95066 United States Phone:- +844-532-7688 |