Cloudera Data Platform (7) Admin

• Introduction
• The Case for Apache Hadoop
• Hadoop Cluster Installation
• The Hadoop Distributed File System (HDFS)
• MapReduce and Spark on YARN
• Hadoop Configuration and Daemon Logs
• Getting Data Into HDFS
• Planning Your Hadoop Cluster
• Installing and Configuring Hive, Impala, and Pig
• Hadoop Clients Including Hue
• Advanced Cluster Configuration
• Hadoop Security
• Managing Resources
• Cluster Maintenance
• Cluster Monitoring and Troubleshooting
• CDP New FeaturesStructured Streaming with Apache Kafka
• Aggregating and Joining Streaming DataFrames
•   Message Processing with Apache Kafka 

 Amministratori di sistema e responsabili IT

Conoscenza di linux base

Al termine del corso gli allievi saranno in grado di:

• Configuring and deploying production-scale clusters that provide key Hadoop-related services, including YARN, HDFS, Impala, Hive, Spark, Kudu, and Kafka
• Proper cluster configuration and deployment to integrate with the data center
• Ingesting, storing, and accessing data in HDFS, Kudu, and cloud object stores such as Amazon S3
• How to load file-based and streaming data into the cluster using Kafka and Flume
• Configuring automatic resource management to ensure service-level agreements are met for multiple users of a cluster
• Troubleshooting, diagnosing, and solving cluster issues
• How to write, configure, and deploy Apache Spark applications on a Hadoop cluster
• How to use the Spark shell and Spark applications to explore, process, and analyze distributed data
• How to query data using Spark SQL, DataFrames, and Datasets
• How to use Spark Streaming to process a live data stream