Big Data and Hadoop Administrator Certification Training in Hickory, NC
Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH ‘CCA-500’ certification exam Includes 3 simulation exams aligned to ‘CCA-500’ certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training – Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big Data—What, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS – Hadoop Distributed File System & Hadoop’s Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: 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 Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: 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 Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering
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- Tuesday, September 24, 2019, 9:00 AM
- Tuesday, November 26, 2019, 9:00 AM
- Tuesday, August 27, 2019, 9:00 AM
- Tuesday, December 24, 2019, 9:00 AM
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