Oracle Big Data 2017 Implementation Essentials : 1z1-449

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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.

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

Oracle 1z1-449 Exam Syllabus Topics: