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

This certification is for:

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

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 Core Hadoop

The following will be discussed here:

• Describe Hadoop High Availability
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Execute a Hive query
• Load Hadoop Distributed File System Data into an Oracle database
• Implement the data flow mechanism used in Flume
• Use Flume in the Hadoop Distributed File System
• Explain the Oracle Loader for Hadoop
• Describe the Hive architecture
• Set up Hive with formatters and SerDe
• Cloudera Enterprise Hadoop Distribution
• Explain the Hadoop Ecosystem
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Describe the Impala real-time query and explain how it differs from Hive
• Move data from a database to a Hadoop Distributed File System using Sqoop
• Implement the Oracle Table Access for a Hadoop Connector
• Describe the differences between MapReduce and YARN
• Configure the online and offline options for the Oracle Loader for Hadoop
• Create a database and table from a Hadoop Distributed File System file in Hive
• Oracle Loader for Hadoop
• Describe the architectural components of MapReduce
• Implement the Hadoop Distributed File System
• Core Hadoop
• Use Pig Latin to query data in HDFS