Oracle 1z1-449 - Oracle Big Data 2017 Implementation Essentials

Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Oracle Data Integrator (ODI) and Hadoop

The following will be discussed here:

• Xquery for Hadoop Connector
• Use Flume in the Hadoop Distributed File System
• Use ODI to transform data from Hive to Hive
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Configure the Oracle Data Integrator with Application Adaptor for Hadoop to interact with Hadoop
• Describe Hadoop High Availability
• Implement the Hadoop Distributed File System
• Describe the Big Data Discovery and Big Data Spatial and Graph solutions
• Set up Oracle Xquery for Hadoop connector
• Describe how Big Data Appliance integrates with Exadata and Exalytics
• Oracle Data Integrator (ODI) and Hadoop
• Use Oracle Xquery with Hadoop-Hive to map an XML file into a Hive table
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
• Explain the business drivers behind Big Data and NoSQL versus Hadoop Core Hadoop - Explain the Hadoop Ecosystem
• Use ODI to move data from an Oracle database to a Hadoop Distributed File System using sqoop
• Describe the architectural components of MapReduce
• Big Data Technical Overview - Describe the architectural components of the Big Data Appliance
• Implement the data flow mechanism used in Flume
• Describe the differences between MapReduce and YARN
• Perform a simple Xquery using Oracle XQuery for Hadoop
• Use ODI to move data from Hive to Oracle

Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449

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Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Big Data SQL

The following will be discussed here:

• Set up Hive and Impala access security using Apache Sentry
• Set up and configure Oracle Big Data SQL
• Big Data SQL
• Securing Hadoop
• Use LDAP and the Active directory for Hadoop access control
• Access NoSQL and Hadoop data using a Big Data SQL query
• Set up Kerberos security in Hadoop
• Demonstrate Big Data SQL syntax used in create table statements
• Set up the Hadoop Distributed File System to use Access Control Lists
• Explain how Big Data SQL is used in a Big Data Appliance/Exadata architecture
• Describe Oracle Big Data Appliance security and encryption features

Oracle 1z1-449 Exam Syllabus Topics: