Average Salary of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Certified Professionals

The average salary:

• India - 6,71,117 INR
• England - 75,267 POUND
• United State - 151,682 USD
• Europe - 100,440 EURO

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

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

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.

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

The following will be discussed here:

• Describe the architectural components of the Big Data Appliance
• Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
• Describe how Big Data Appliance integrates with Exadata and Exalytics
• Describe the Big Data Discovery and Big Data Spatial and Graph solutions
• Big Data Technical Overview
• Explain the business drivers behind Big Data and NoSQL versus Hadoop