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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:

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

What is Implementation Essentials 1z0-435 Certification Exam and Retake policy

Oracle Certification can help you gain a competitive advantage by developing a skill set that's in demand, worldwide. You will get to join the 80% of Oracle certification holders who reported a promotion, salary increase or other career improvements. It will give you access to secure digital badge that you can add to your social media profiles.

Cloud Certification for Oracle credentials are valid for a period of 18 months from the date you earn the credential. The credential will become inactive at the end of 18 months. Oracle requires candidates to hold an active credential in order to access certain certification benefits including, without limitation, use of Oracle certification logos, e-Certificates, score reports, digital badges and certification verification.

All the candidates must wait 14 days before retaking a failed proctored exam. (Registration will be allowed on the 14th day). Candidates may not retake a passed exam at any time and may not retake a beta exam at any time. Also, candidates are only allowed 4 attempts to pass an exam in a 12-month period.

Oracle certifications need a periodic recertification in order for Oracle to recognize them as active. For this, you must upgrade to a current version within twelve (12) months following Oracle's credential retirement to keep your certification in active status so that you can have access to certain certification benefits including, without limitation, use of Oracle certification logos, eCertificates, score reports, digital badges and certification verification.

Oracle 1z0-449 Exam Syllabus Topics:

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

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:

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

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