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

1z1-449
  • Exam Code: 1z1-449
  • Exam Name: Oracle Big Data 2017 Implementation Essentials
  • Updated: Sep 13, 2026
  • Q & A: 72 Questions and Answers

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Who should take the Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

This certification is for:

  • System Integrator
  • Implementer
  • Network Administrator
  • Manager
  • Administrator

The Planning Cloud 2020 Certified Implementation Specialist has demonstrated the knowledge and expertise in implementing Enterprise Performance Management and Planning solutions. Individuals with this certification can set up and configure security, set up a Planning business process, and configure the Financials, Workforce, Capital, and Projects modules, and design Reports and Documents.

The 1Z0-449 exam can help you in becoming Oracle Business Process Management Suite 12c Implementation Specialist. This certification exam is designed for individuals who possess a strong foundation and expertise in implementing Oracle Business Process Management Suite 12c solutions. This certification covers sections like BPMN process modeling, adaptive case management, simulation, business rules, human workflow, human task forms, process analytics, BPM Workspace, Security and Administration. This certification differentiates candidates in the marketplace by providing a competitive edge through proven expertise.

Individuals who earn this certification are able to describe the purchase order business process, describe supplier master information, process requisitions and quote orders, enter sub-contract orders and purchase orders, set up approval processing, carriers, routes, rates and plan transportation loads.

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 Oracle Data Integrator (ODI) and Hadoop

The following will be discussed here:

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

Difficulty in Attempting Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

If the user has successfully passed the 1Z0-449 practice exam and has been through 1Z0-449 exam dumps then the certification exam will not be too much difficult as the user has shown aptitude for understanding complicated processes.

Oracle 1z1-449 Exam Syllabus Topics:

SectionObjectives
Topic 1: Security and Administration- Security and cluster management
  • 1. Authentication and authorization in Hadoop
    • 2. Cluster monitoring and administration
      Topic 2: Data Analytics and Querying- Analytical tools and querying
      • 1. Hive query concepts
        • 2. Big Data SQL concepts
          Topic 3: Data Ingestion and Integration- Data ingestion frameworks
          • 1. Flume event ingestion basics
            • 2. Sqoop data transfer concepts
              Topic 4: Big Data Storage- HDFS and storage systems
              • 1. Data locality principles
                • 2. HDFS architecture and replication
                  Topic 5: Big Data Fundamentals- Big Data concepts and architecture
                  • 1. Hadoop ecosystem overview
                    • 2. 3 Vs of Big Data (Volume, Velocity, Variety)
                      Topic 6: Data Processing- Batch and stream processing
                      • 1. Spark-based processing concepts
                        • 2. MapReduce processing model

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