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Hadoop's MapReduce Integration with HBase
After watching this video; you will be able to describe MapReduce and how it is integrated with Hbase.
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Hadoop Consumer API
After watching this video; you will be able to describe the Hadoop consumer API for reading from Apache Kafka.
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Introduction to Hadoop
After watching this video; you will be able to describe what Apache Kylin is; and the challenges and business needs for big data analysis.
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Apache Hadoop Introduction
After watching this video; you will be able to describe Apache Hadoop's use with Storm.
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Design Principles of Hadoop
Big Data supports the Hadoop framework which allows you to compute large amounts of data while meeting the requirements for supercomputing. Hadoop supports five design principles – dumb hardware and smart software; share nothing; move processing; not data; embrace failure; and build applications; not infrastructure. In this video; Will Dailey provides an overview of Hadoop and its design principles.
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Functional View of Hadoop
Hadoop is an open-source software project used to store and distribute Big Data. It is designed for fault tolerance and has high availability and scalability in a supercomputing environment. In this video; Will Bailey demonstrates Hadoop technology; including its advantages and its functional components.
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Basics of Hadoop
Apache Hadoop is an open source platform that is used for the possessing and storage of Big Data applications. In this video; Bob Hendry will discuss about the basics of Hadoop.
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Executing Hadoop MapReduce Jobs
Hadoop MapReduce is a Java-based programmatic algorithm for managing Big Data. In this video; Bob Hendry discusses how to write a MapReduce job.
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Hadoop Distributions
Apache Hadoop is an open source platform for managing Big Data. In this video; Bob Hendry will discuss third-party distribution.
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Hadoop Ecosystem
Apache Hadoop is an open source platform for managing Big Data. In this video; Bob Hendry will define and discuss the Hadoop ecosystem.
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Hadoop MapReduce and Java
Java functions as the Hadoop MapReduce implementation language. In this video; Bob Hendry discusses how to use Java and additional Java Archive (JAR) files to write Hadoop MapReduce jobs.
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Introduction to the Hadoop Distributed File System
Apache Hadoop is an open source platform for managing Big Data. In this video; Bob Hendry will discuss the Hadoop Distributed File System (HDFS) and its architecture.
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Configuring Hadoop Environment
After watching this video; you will be able to configure Hadoop environmental variables.
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Design Principles for Hadoop
After watching this video; you will be able to recall the design principles of Hadoop.
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Ecosystem for Hadoop
After watching this video; you will be able to describe supercomputing.
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Hadoop Distributed File System
After watching this video; you will be able to describe the components of the Hadoop Distributed File System (HDFS).
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Hadoop Streaming
After watching this video; you will be able to identify the concept of streaming for MapReduce.
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Hadoop Web UIs
After watching this video; you will be able to recall the ports of the NameNode and Resource Manager Web Uis.
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Installing Hadoop
After watching this video; you will be able to use Cloudera Manager to install Hadoop.
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Balancing Hadoop Clusters
After watching this video; you will be able to balance a Hadoop cluster.
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Building Hadoop Clients
After watching this video; you will be able to build the Hadoop clients.
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Configuring Hadoop Clusters
After watching this video; you will be able to configure a Hadoop cluster.
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Configuring Hadoop for AWS
After watching this video; you will be able to prepare to install and configure a Hadoop cluster on AWS.
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Configuring Hadoop Logs
After watching this video; you will be able to configure Hadoop logs.
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Configuring log4j for Hadoop
After watching this video; you will be able to describe how to configure log4j for Hadoop.
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Defining Hadoop Fault Tolerance
After watching this video; you will be able to describe how Hadoop leverages fault tolerance.
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Deploying Hadoop Releases
After watching this video; you will be able to deploy a Hadoop release.
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Design Considerations for Hadoop Clusters
After watching this video; you will be able to identify the hardware and networking recommendations for a Hadoop cluster.
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Examining Hadoop Change Management
After watching this video; you will be able to describe the purpose of change management.
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Examining Hadoop Cloud Implementations
After watching this video; you will be able to recall the advantages and limitations of using Hadoop in the cloud.
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Examining Hadoop Cluster Architecture
After watching this video; you will be able to describe the different rack architectures for Hadoop.
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Examining Hadoop logs
After watching this video; you will be able to describe how to manage logging levels.
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Examining Hadoop Metrics2
After watching this video; you will be able to describe Hadoop Metrics2.
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Examining Hadoop Security
After watching this video; you will be able to recall the primary security threats faced by the Hadoop cluster.
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Exploring Design Principles for Hadoop
After watching this video; you will be able to describe the dumb hardware and smart software; and the share nothing design principles.
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Format HDFS and Run a Hadoop Program
After watching this video; you will be able to install Hadoop on to the admin server.
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Installing Hadoop Metrics2 for Ganglia
After watching this video; you will be able to install Hadoop Metrics2 for Ganglia.
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Managing Hadoop Balancing
After watching this video; you will be able to describe the process for balancing a Hadoop cluster.
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Managing Hadoop Service Levels
After watching this video; you will be able to monitor and improve service levels.
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Managing Hadoop Upgrades
After watching this video; you will be able to plan an upgrade of a Hadoop cluster.
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Monitoring Hadoop Security
After watching this video; you will be able to describe how to monitor Hadoop security.
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Provisioning Hadoop Clusters
After watching this video; you will be able to provision a Hadoop cluster.
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Run a Hadoop Program
After watching this video; you will be able to format HDFS; create an HDFS directory; import data; run a WordCount and view the results.
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Scaling Hadoop Architectures
After watching this video; you will be able to describe the best practices for scaling a Hadoop cluster.
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Installing Hadoop
After watching this video; you will be able to download and install Apache Hadoop.
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Hadoop Ecosystem: YARN Configurations
After watching this video, you will be able to identify the standard configuration parameters to be changed for YARN.
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Hadoop Operations: Configuring Kerberos
After watching this video, you will be able to configure Kerberos.
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Hadoop Operations: Examining Hadoop and Kerberos
After watching this video, you will be able to describe how to configure HDFS and YARN for use with Kerberos.