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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:

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

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

The following will be discussed here:

• Describe the Oracle SQL Connector for Hadoop Connector
• Set up the KVStore
• Describe the Oracle R Advanced Analytics for a Hadoop connector
• Oracle NoSQL Database
• Oracle SQL Connector for Hadoop Distributed File System (HDFS)
• Use KVLite to test NoSQL applications
• Install the Oracle SQL Connector for Hadoop
• Integrate an Oracle NoSQL database with an Oracle database and Hadoop
• Implement an Oracle Database connection with Oracle R Enterprise
• Use Oracle R Advanced Analytics for a Hadoop connector
• Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database
• Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
• Programming with R
• Describe the architectural components of Oracle R Advanced Analytics for Hadoop
• Use an Oracle NoSQL database

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Average Salary of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Certified Professionals

The average salary:

• Europe - 100,440 EURO
• United State - 151,682 USD
• India - 6,71,117 INR
• England - 75,267 POUND

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:

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

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

Oracle 1z1-449 Exam Syllabus Topics: