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    • Learn how to work with JSON data in Oracle NoSQL Database using an example scenario.

       
    • In this session, you learn how to use the EM BDA Plug-in to do the following:

      • Monitor the BDA hardware and software performance
      • Manage BDA incidents and review some BDA related features
       
    • In this session, you learn how to use Cloudera Manager to:

      • Administer your CDH cluster
      • Audit various activities in your CDH cluster
      • Set up YARN job scheduling
       
    • Securing the Oracle BDA
      8.3 years ago

      In this session, you learn how to secure data on the Oracle Big Data Appliance.

      Security is a calculated decision. Because security does not make systems run faster or make them easier to use, the cost of implementing any security control must balance the potential cost of not implementing any security procedures or practices. 

      How much security is required is often a judgment made on the amount of risk an organization is willing to assume. That risk often boils down to the value of the data. If the data being housed in your BDA is a unique combination of sensor data, geological data, and periodical feeds from gold mining journals, it has very different security requirements than a cluster housing publicly available home values, traffic accident data, and citizen demographic data.

       
    • In this session, you learn about Oracle R Advanced Analytics for Hadoop.

      Oracle R Advanced Analytics for Hadoop is a collection of R packages that enable Big Data analytics from an R environment.
      It enables you to:

      • Work on data from multiple platforms from the R environment
      • Benefit from the R ecosystem while leveraging the advantages of massively distributed Hadoop computational infrastructure
      • Leverages the cluster compute infrastructure for parallel distribution computation while shielding the R user from Hadoop’s complexity through a small number of easy to use APIs.
       
    • Oracle SQL Connector for Hadoop Distributed File System (HDFS) enables an Oracle external table to access data stored in Hadoop Distributed File System (HDFS) files or a table in Apache Hive. The data can remain in HDFS or the Hive table, or it can be loaded into an Oracle database.

      Oracle Loader for Hadoop provides an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database.

      Oracle Data Integrator extracts, loads, and transforms data from sources such as files and databases into Hadoop and from Hadoop into Oracle or third-party databases. 

       
    • Oracle XQuery for Hadoop is a transformation engine for semi-structured big data. Oracle XQuery for Hadoop runs transformations expressed in the XQuery language by translating them into a series of MapReduce jobs, which are executed in parallel on an Apache Hadoop cluster. You can focus on data movement and transformation logic, instead of the complexities of Java and MapReduce, without sacrificing scalability or performance.

       
    • In this session, you learn how to:

      • Identify the Oracle Big Data Appliance (BDA)
      • Identify the hardware and software components of Oracle Big Data Appliance
       
    • The tutorials in this series teach you how to perform administration tasks for the Oracle Big Data Appliance.

      At the end of this course, you should be able to:

      • Learn about the Hadoop ecosystem and its components
      • Learn how to setup, install, use, and secure the Oracle Big Data Appliance (BDA):
        • Complete the Oracle BDA Site Checklists
        • Run the Oracle BDA Configuration Utility
        • Install the Oracle BDA Mammoth software on the Oracle BDA
        • Securing the Oracle BDA
      • Use, administer, and manage the Oracle BDA 
        • Cloudera Manager (CM)
        • Enterprise Manager (EM) 
      • Use the Oracle Big Data Connectors
        • Oracle SQL Connector for Hadoop Distributed File System (OSCH)
        • Oracle Loader for Hadoop (OLH), and Oracle Data Integrator (ODI)
        • Oracle XQuery for Hadoop (OXH)
        • Oracle R Advanced Analytics for Hadoop (ORAAH)

      Although you may view these sessions in any order, this series is designed in a linear fashion, with each tutorial building upon the previous ones. Therefore, if you are new to Big Data or the Oracle Big Data Appliance (BDA), it is recommended that you view these lessons in order.

       
    • In this session, you learn how to:

      • Define the Hadoop Ecosystem
      • Describe the Hadoop core components and other related projects in the Hadoop Ecosystem
      • Choose a Hadoop distribution and version
      • Describe the architectural components of HDFS
      • Use the FS shell command-line interface (CLI) to interact with data stored in HDFS
      • Review MapReduce, Spark, and YARN
       
    • Working with Mammoth
      8.5 years ago

      In this session, you learn how to:

      • Download the Oracle Big Data Appliance Mammoth Software Deployment Bundle from My Oracle Support.
      • Install a CDH or NoSQL cluster based on your specifications.
      • Install the Oracle BDA Mammoth Software Deployment Bundle using the Mammoth utility.
       
    • In this session, you learn how to:

      • Download and complete the BDA Site Checklists
      • Download and run the Oracle BDA Configuration Utility
      • Review the files generated by the Oracle BDA Configuration Utility
      • Identify the next steps in installing the Oracle BDA software on the Oracle BDA
       
    • In this tutorial, you learn about Oracle NoSQL Database Data Cartridge. You will first see an overview of event processing and then learn about the Oracle NoSQL Database Data Cartridge.
      In the overview section, you will learn about event processing, Oracle Event Processor and how event processing is related to Big Data. You will then understand the use of event processing in the big data world with the help of a use case.

       
    • In this tutorial, you learn about integrating Apache Hadoop with Oracle NoSQL Database. This course will teach you:

      • The benefits of integrating Apache Hadoop with Oracle NoSQL database
      • The role of the Hadoop framework in big data
      • The NoSQL APIs that are used to load data into Hadoop
      • The steps to connect the Oracle NoSQL Database with Hadoop
       
    • This tutorial is the second of eight self-study sessions on Oracle R Enterprise. In this tutorial, you learn:

      • The prerequisites for using ORE.
      • How to start up R and ORE.
      • Some basic ORE operations, including the initial ORE connection to any Oracle database.
       

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