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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
• Administrator
• Manager
• Implementer
• Network 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.

How to Prepare For Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

Preparation Guide for Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

Introduction

The Oracle Big Data 2017 Implementation Specialist certification is designed for individuals who possess a strong foundation and expertise in selling and implementing Oracle's Big Data solutions. This certification covers topics such as: Hadoop, Oracle NoSQL, Cloudera Technologies like Pig, Hive and Impala, and the Big Data Connectors. The Oracle Big Data 2017 Implementation Specialist certification differentiates candidates in the marketplace by providing a competitive edge through proven expertise. Up-to-date training and field experience are recommended. The certification is available to all candidates but is geared toward members of the Oracle PartnerNetwork. OPN members earning this certification will be recognized as OPN Certified Specialists.

The Oracle Big Data 2017 Implementation Specialist certification qualifies as competency criteria for the Oracle Big Data specialization.

The Oracle 1Z0-449 Certification Program certifies candidates on skills and knowledge related to Oracle Big Data X4-2 products and technologies. The Oracle Big Data 2017 Certification Implementation Specialist is granted based on a combination of passing exams, training and performance-based assignments, depending on the level of certification. Oracle 1Z0-449 certification is tangible benchmark of experience and expertise that help you stand out in a crowd among employers. To ensure success, Oracle recommends combining education courses, practice exam and hands-on experience to prepare for your Oracle Big Data 2017 Implementation Essentials certification exam as questions will test your ability to apply the knowledge you have gained in hands-on practice or professional experience.

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

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