Description: Cloudera Manager is a simple automated, customizable management tool for Hadoop clusters. In this course, you will become familiar with the various web consoles available with Cloudera Manager. You will learn how to use Cloudera Manager to perform everything from a Hadoop cluster installation, to performance tuning, to diagnosing issues. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Administrators wanting to add Cloudera Manager to their skill sets
Duration: 03:51
Description: The Apache Hadoop software library is a framework that allows for the distributed processing of large datasets across clusters of computers using a simple programming model. Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage. This course will focus on performance tuning of the Hadoop cluster. We will examine best practices and recommendations for performance tuning of the operating system, memory, HDFS, YARN and MapReduce. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Administrators looking to expand their skill sets to include performance tuning Hadoop clusters
Duration: 02:42
Description: Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. This course focuses on the capacity management of Hadoop clusters. You will be introduced to the concepts of resource management through scheduling. You will learn how to use the Fair Scheduler Tool, and how to plan for scaling. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Administrators looking to add to their knowledge of capacity management for Hadoop clusters
Duration: 02:13
Description: Apache Hadoop is increasingly in popularity as a framework for large-scale, data-intensive applications. Tuning Hadoop clusters is vital to improve cluster performance. In this course you will look at the importance of incident and log management and examine the best practices for root cause analysis. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Engineers looking to expand their skill sets in the area of Hadoop stability
Duration: 03:44
Description: Hadoop is a framework written in Java for running applications on large clusters of commodity hardware. In this course we will examine many of the HDFS administration and operational processes required to operate and maintain a Hadoop cluster. We will take a look at how to balance a Hadoop cluster, manage jobs, and perform backup and recovery for HDFS. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Administrators looking to expand their skill and knowledge surrounding operational activities of Hadoop clusters
Duration: 02:55
Description: Hadoop development has allowed big data technologies to reach companies in all sectors of the economy. But as this grows so do the security concerns. In this course you will examine the risks and learn how to implement the security protocols for Hadoop clusters. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Administrators looking to expand their skill set into Hadoop security.
Duration: 03:27
Description: When examining Hadoop availability it's important not to focus solely on the NameNode. There is a tendency since that is the single point of failure for HDFS, and many components in the ecosystem rely on HDFS, but Hadoop availability is a more general larger issue. In this course we are going to examine the availability and how to recover from failures for the NameNode, DataNode, HDFS, and YARN. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Developers interested in expanding their knowledge of Hadoop from the operations perspective
Duration: 02:48
Description: There are important decisions you must make to ensure network, disks, and hosts are configured correctly when deploying a Hadoop Cluster. This course will walk you through all of the steps to install Hadoop in a pseudo-distributed mode and the set up of some of the common open source software used to create a Hadoop Ecosystem. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Developers interested in expanding their knowledge of Hadoop from the operations perspective
Duration: 03:01
Description: Amazon Web Services, also known as AWS, is a secure cloud-computing platform offered by Amazon.com. This course introduces AWS and it's most prominent tools such as IAM, S3, and EC2. Additionally we will cover how to install configure and use a Hadoop cluster on AWS. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Developers interested in expanding their knowledge of Hadoop from the operations perspective
Duration: 02:53
Description: Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.
Target Audience: Developers interested in expanding their knowledge of Hadoop from the operations perspective
Duration: 02:13