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:
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.
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This content is intended for the following job role(s): Data Scientist, Data Warehouse Developer, Business Analyst
Release Date: 25-OCT-2015
Created by: Lauran Serhal
In this session, you learn how to:
Duration: 54 minutes
Duration: 41 minutes
Duration: 47 minutes
Duration: 36 minutes
In this session, you learn how to use Cloudera Manager to:
Duration: 43 minutes
In this session, you learn how to use the EM BDA Plug-in to do the following:
Duration: 20 minutes
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.
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.
Duration: 27 minutes
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:
Release Date: 31-MAY-15