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Instant Download Oracle : 1z1-449 Questions & Answers as PDF & Test Engine

1z1-449
  • 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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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:

SectionWeightObjectives
Topic 1: NoSQL Database15%- Oracle NoSQL Database
  • 1. Data Access APIs
  • 2. Key-Value Data Model
  • 3. Replication and Scalability
Topic 2: Security and Administration10%- Platform Management
  • 1. Cluster Administration
  • 2. Security Concepts
  • 3. Authentication and Authorization
  • 4. Monitoring and Troubleshooting
Topic 3: Big Data Integration15%- Integration Technologies
  • 1. Big Data Connectors
  • 2. Oracle Data Integrator
  • 3. Data Movement Between Hadoop and Oracle Database
Topic 4: Big Data Fundamentals10%- Big Data Concepts
  • 1. Big Data Architecture
  • 2. Big Data Use Cases
  • 3. Characteristics of Big Data
Topic 5: Hadoop Ecosystem25%- Core Hadoop Technologies
  • 1. MapReduce
  • 2. HDFS
  • 3. Hive
  • 4. Pig
  • 5. YARN
- Data Processing
  • 1. Batch Processing
  • 2. Data Transformation
  • 3. Data Ingestion
Topic 6: Oracle Big Data Platform15%- Oracle Big Data Components
  • 1. Oracle Big Data Connectors
  • 2. Oracle Big Data Appliance
  • 3. Oracle Big Data SQL
  • 4. Oracle Big Data Discovery
Topic 7: Big Data Analytics and Discovery10%- Analytics Tools
  • 1. Data Visualization
  • 2. Oracle Big Data Discovery
  • 3. Data Exploration

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