Scaleup Certification’s training by our experts dive deep into big data concepts thoroughly and explains how to conduct Hadoop administrator roles successfully.

• Data & Existing Solutions
• Welcome to the world of Big Data—What, Why & Where
• Case studies
• Hadoop & its Ecosystem
• Hadoop Core components
• Hadoop & its capabilities

• Gain knowledge on HDFS its internals, working & features
• Learn about possibilities without HDFS
• Differentiate or find similarities in different distributions of Hadoop.
• Identify the requirements to set up a Hadoop cluster

• The need for Cluster Management Solution
• Choice of Installation methods—Automated/ Manual
• Linux machines setup—Virtualization & Cloud
• Hadoop Cluster Setup—Apache Hadoop V2 & Cloudera Distribution of Hadoop (CDH)
• Cloudera manager features and capabilities
• Working with Hadoop cluster, HDFS & data
• Working with management console/ UI ( user interfaces) & Linux terminals
• Understand administration scenarios

• List and describe the files that control Hadoop configuration
• Explain how to manage Hadoop configuration with Cloudera Manager
• Locate configuration files and make changes
• Explain how to deal with stale configurations
• Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons
• Locate log files generated on hosts
• Filter information in log files
• Explain how to get diagnostic information from log files

• Explain how to add and remove nodes in an ad-hoc way
• Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes
• Explain how to balance a cluster
• List the steps for managing services including adding, deleting, starting, stopping and checking the status of services
• Explain the procedure to enable rack awareness
• List the steps to add, remove and move role instances and hosts
• Cite the challenges faced with the first version of Hadoop
• Explain the features in the second version that help overcome the challenges faced in the first version

• Describe the role of computational frameworks
• Explain MapReduce concepts
• Describe MRv2 on YARN
• Explain configuring and understanding of YARN
• Describe YARN applications
• Describe YARN memory and CPU settings

• Describe the scheduling concepts
• Indentify the Schedulers
• Explain the ways to manage resources using Schedulers
• Describe FIFO, Fair Scheduler, and Capacity Scheduler
• Explain how to configure Schedulers
• Explain queue management

• Planning Hadoop Cluster
• General Planning considerations
• Workload and cluster sizing
• Making Choices—Hardware, Software & Network
• Making Choices—Master/Slave considerations
• News from the world—Existing Setups

• Explain the concepts of Hadoop client, edge nodes, and gateway nodes
• Install and configure Hadoop clients
• Explain how Hue works
• Install and configure Hue
• Describe how authentication and authorization is managed in Hue

• Understand Data Ingestion & its types
• Knowing about various data ingestion tools & their capabilities
• Understanding how Flume works
• Understanding how sqoop works
• List some of the services and open-source components that work within the Hadoop ecosystem
• List the advantages and key features of Hive
• Describe briefly about the components of Hive
• Explain how to configure Hive in different modes
• Explain the architecture of HBase and cite the advantages of using HBase
• Explain the working of Apache Kafka
• Describe the architecture of Apache Spark

• Describe the different ways to avoid risks and secure data
• Identify the different threat categories
• Describe the security aspects for different nodes
• Describe operating system security
• Describe Kerberos and how it works
• Describe Service Level Authorization

• Describe cluster monitoring
• Describe the ways to choose the right monitoring solutions
• List the features and considerations of Cloudera manager for monitoring
• Describe the different categories of Hadoop Metrics
• List the different types of Hadoop Metrics
• List the steps to monitor a cluster by using Cloudera Manager