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:
- Programming with R
- Oracle SQL Connector for Hadoop Distributed File System (HDFS)
- Install the Oracle SQL Connector for Hadoop
- Oracle NoSQL Database
- Use an Oracle NoSQL database
- Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
- Use Oracle R Advanced Analytics for a Hadoop connector
- Set up the KVStore
- Describe the Oracle SQL Connector for Hadoop Connector
- Use KVLite to test NoSQL applications
- Describe the Oracle R Advanced Analytics for a Hadoop connector
- Describe the architectural components of Oracle R Advanced Analytics for Hadoop
- Implement an Oracle Database connection with Oracle R Enterprise
- Integrate an Oracle NoSQL database with an Oracle database and Hadoop
- Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database
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 architectural components of MapReduce
- Xquery for Hadoop Connector
- Use ODI to move data from an Oracle database to a Hadoop Distributed File System using sqoop
- Perform a simple Xquery using Oracle XQuery for Hadoop
- Use ODI to move data from Hive to Oracle
- Use ODI to transform data from Hive to Hive
- 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
- Configure the Oracle Data Integrator with Application Adaptor for Hadoop to interact with Hadoop
- Describe the differences between MapReduce and YARN
- Describe how Big Data Appliance integrates with Exadata and Exalytics
- Set up Oracle Xquery for Hadoop connector
- Oracle Data Integrator (ODI) and Hadoop
- Describe the Big Data Discovery and Big Data Spatial and Graph solutions
- Explain the business drivers behind Big Data and NoSQL versus Hadoop Core Hadoop - Explain the Hadoop Ecosystem
- Use Flume in the Hadoop Distributed File System
- Use Oracle Xquery with Hadoop-Hive to map an XML file into a Hive table
- Implement the Hadoop Distributed File System
- Big Data Technical Overview - Describe the architectural components of the Big Data Appliance
- Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
- Describe Hadoop High Availability
- Identify the benefits of the Hadoop Distributed File System (HDFS)
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Oracle 1z0-449 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Security and Administration | - Security and cluster management
|
| Big Data Fundamentals | - Big Data concepts and architecture
|
| Data Analytics and Querying | - Analytical tools and querying
|
| Big Data Storage | - HDFS and storage systems
|
| Data Processing | - Batch and stream processing
|
| Data Ingestion and Integration | - Data ingestion frameworks
|




