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Oracle 1z0-449 Exam Syllabus Topics:

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

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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.

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

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

The following will be discussed here:

• Securing Hadoop
• Set up the Hadoop Distributed File System to use Access Control Lists
• Demonstrate Big Data SQL syntax used in create table statements
• Big Data SQL
• Set up Kerberos security in Hadoop
• Use LDAP and the Active directory for Hadoop access control
• Set up and configure Oracle Big Data SQL
• Set up Hive and Impala access security using Apache Sentry
• Describe Oracle Big Data Appliance security and encryption features
• Access NoSQL and Hadoop data using a Big Data SQL query
• Explain how Big Data SQL is used in a Big Data Appliance/Exadata architecture

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