How to book the Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

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

The following will be discussed here:

• Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database
• Integrate an Oracle NoSQL database with an Oracle database and Hadoop
• Describe the Oracle R Advanced Analytics for a Hadoop connector
• Oracle SQL Connector for Hadoop Distributed File System (HDFS)
• Use KVLite to test NoSQL applications
• Programming with R
• Implement an Oracle Database connection with Oracle R Enterprise
• Set up the KVStore
• Describe the Oracle SQL Connector for Hadoop Connector
• Oracle NoSQL Database
• Use an Oracle NoSQL database
• Describe the architectural components of Oracle R Advanced Analytics for Hadoop
• Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
• Install the Oracle SQL Connector for Hadoop
• Use Oracle R Advanced Analytics for a Hadoop connector

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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:

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

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