Oracle 1z1-449 dumps - in .pdf

1z1-449 pdf
  • Exam Code: 1z1-449
  • Exam Name: Oracle Big Data 2017 Implementation Essentials
  • Updated: Aug 15, 2026
  • Q & A: 72 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: 1z1-449
  • Exam Name: Oracle Big Data 2017 Implementation Essentials
  • Updated: Aug 15, 2026
  • Q & A: 72 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Oracle 1z1-449 dumps - Testing Engine

1z1-449 Testing Engine
  • Exam Code: 1z1-449
  • Exam Name: Oracle Big Data 2017 Implementation Essentials
  • Updated: Aug 15, 2026
  • Q & A: 72 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About Oracle 1z1-449 VCE materials

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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:

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

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

The following will be discussed here:

  • 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
  • Describe how Big Data Appliance integrates with Exadata and Exalytics
  • Describe the architectural components of the Big Data Appliance
  • Big Data Technical Overview
  • Explain the business drivers behind Big Data and NoSQL versus Hadoop

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

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1z1-449 exam dumps

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Oracle 1z1-449 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Technical Overview15%- Business drivers for Big Data and NoSQL
- Hadoop ecosystem fundamentals
- Big Data Appliance architecture and components
Topic 2: Oracle NoSQL Database20%- Architecture: Shard, Replica, Master
- KVStore setup and configuration
- Integration with Oracle Database and Hadoop
Topic 3: Core Hadoop25%- Hive, Impala, Pig usage
- Data ingestion with Flume and Sqoop
- MapReduce vs YARN
- HDFS architecture and high availability
Topic 4: Big Data SQL & Integration20%- XQuery with Hadoop-Hive
- Oracle Loader for Hadoop
- Oracle Table Access for Hadoop Connector
- Integration with Exadata and Exalytics
Topic 5: Advanced Analytics & Security20%- LDAP/Active Directory authentication
- Oracle R Advanced Analytics for Hadoop
- Security and access control

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