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Instant Download Oracle : 1z1-449 Questions & Answers as PDF & Test Engine
- Exam Code: 1z1-449
- Exam Name: Oracle Big Data 2017 Implementation Essentials
- Updated: Jul 31, 2026
- No. of Questions: 72 Questions and Answers
- Download Limit: Unlimited
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How to book the Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449
You can schedule the exam anytime at Pearson VUE. You can pay directly from a credit card or redeem a voucher purchased from Oracle.
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 Oracle NoSQL Database
The following will be discussed here:
- Describe the Oracle R Advanced Analytics for a Hadoop connector
- Describe the Oracle SQL Connector for Hadoop Connector
- Use an Oracle NoSQL database
- Implement an Oracle Database connection with Oracle R Enterprise
- Describe the architectural components of Oracle R Advanced Analytics for Hadoop
- Use Oracle R Advanced Analytics for a Hadoop connector
- Install the Oracle SQL Connector for Hadoop
- Use KVLite to test NoSQL applications
- Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
- Integrate an Oracle NoSQL database with an Oracle database and Hadoop
- Oracle NoSQL Database
- Programming with R
- Set up the KVStore
- Oracle SQL Connector for Hadoop Distributed File System (HDFS)
- 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 Core Hadoop
The following will be discussed here:
- Implement the Oracle Table Access for a Hadoop Connector
- Configure the online and offline options for the Oracle Loader for Hadoop
- Explain the Oracle Loader for Hadoop
- Move data from a database to a Hadoop Distributed File System using Sqoop
- Implement the data flow mechanism used in Flume
- Use Flume in the Hadoop Distributed File System
- Oracle Loader for Hadoop
- Set up Hive with formatters and SerDe
- Describe the Impala real-time query and explain how it differs from Hive
- Implement the Hadoop Distributed File System
- Core Hadoop
- Describe Hadoop High Availability
- Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
- Create a database and table from a Hadoop Distributed File System file in Hive
- Describe the Hive architecture
- Cloudera Enterprise Hadoop Distribution
- Identify the benefits of the Hadoop Distributed File System (HDFS)
- Describe the differences between MapReduce and YARN
- Load Hadoop Distributed File System Data into an Oracle database
- Explain the Hadoop Ecosystem
- Use Pig Latin to query data in HDFS
- Describe the architectural components of MapReduce
- Execute a Hive query
Oracle 1z1-449 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: NoSQL Database | 15% | - Oracle NoSQL Database
|
| Topic 2: Security and Administration | 10% | - Platform Management
|
| Topic 3: Big Data Integration | 15% | - Integration Technologies
|
| Topic 4: Big Data Fundamentals | 10% | - Big Data Concepts
|
| Topic 5: Hadoop Ecosystem | 25% | - Core Hadoop Technologies
|
| Topic 6: Oracle Big Data Platform | 15% | - Oracle Big Data Components
|
| Topic 7: Big Data Analytics and Discovery | 10% | - Analytics Tools
|
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