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

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

This certification is for:

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

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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:

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

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

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