Big Data Analytics with Hadoop

Course Overview

Attendees will exit this course with the skills required to use Hadoop to build analytics solutions on the cloud, working in an end-to-end pipeline to perform big data analysis using practical use cases. Students will be well-versed with the analytical capabilities of the Hadoop ecosystem, and able to build powerful solutions to perform big data analytics and get insight effortlessly.

Working in a hands-on learning environment, students will:

• Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
• Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink
• Exploit big data using Hadoop 3 with real-world examples

Course Objectives

This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom

Working in a hands-on learning environment, led by our expert instructor, students will learn to:

• Define Big Data and Identify Big Data Use Cases
• Review Big Data Management Architecture and Engineered Systems
• Describe Integrated Big Data Solution and its components.
• Examine MapReduce programs and balance MapReduce jobs
• Use NoSQL Database
• Use XQuery for Hadoop
• Install, use, and administer the Big Data Appliance
• Provide data security and enable resource management
• Examine MapReduce programs and balance MapReduce jobs
• Use the BigDataLite Virtual Machine
• Use the Hadoop Distributed File System (HDFS)to store, distribute, and replicate data across the nodes in the Hadoop cluster.
• Acquire big data using the HDFS Command Line Interface, Flume, and NoSQL Database.
• Use MapReduce and YARN for distributed processing of the data stored in the Hadoop cluster.
• Process big data using MapReduce, YARN, Hive, Pig, XQuery for Hadoop, Solr, and Spark.
• Integrate big data and warehouse data using Sqoop, Big Data Connectors, Copy to BDA, Big Data SQL, Data Integrator, and GoldenGate.
• Analyze big data using Big Data SQL, Advanced Analytics technologies, and Big Data Discovery.
• Use and manage Big Data Appliance.
• Secure your data.
• Understand Big Data Cloud Service: Key Features & Benefits

Course Prerequisites

This course is geared for attendees who wish to use Integrated Big Data Solution to acquire, process, integrate and analyze big data. Attendees should possess the following incoming skills:

• Basic to Intermediate IT Skills, and Big Data knowledge
• Good foundational mathematics or logic skills
• Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su