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How to book the Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449
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Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449
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How much Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 costs
- Types of questions: Performance Based Questions
- No. of Questions: 76 Questions
- Examination Fees: $245 USD
- Length of Exam: 120 min
- Passing Score: 75% or higher
- Examination Name: Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449
Difficulty in Attempting Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449
If the user has successfully passed the 1Z0-449 practice exam and has been through 1Z0-449 exam dumps then the certification exam will not be too much difficult as the user has shown aptitude for understanding complicated processes.
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:
- Describe the architectural components of MapReduce
- Oracle Loader for Hadoop
- Identify the benefits of the Hadoop Distributed File System (HDFS)
- Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
- Set up Hive with formatters and SerDe
- Explain the Hadoop Ecosystem
- Load Hadoop Distributed File System Data into an Oracle database
- Move data from a database to a Hadoop Distributed File System using Sqoop
- Implement the Oracle Table Access for a Hadoop Connector
- Describe Hadoop High Availability
- Execute a Hive query
- Core Hadoop
- Configure the online and offline options for the Oracle Loader for Hadoop
- Create a database and table from a Hadoop Distributed File System file in Hive
- Explain the Oracle Loader for Hadoop
- Implement the Hadoop Distributed File System
- Describe the differences between MapReduce and YARN
- Implement the data flow mechanism used in Flume
- Describe the Hive architecture
- Use Flume in the Hadoop Distributed File System
- Describe the Impala real-time query and explain how it differs from Hive
- Use Pig Latin to query data in HDFS
- Cloudera Enterprise Hadoop Distribution
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Oracle 1z1-449 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Processing | - Batch and stream processing
|
| Topic 2: Security and Administration | - Security and cluster management
|
| Topic 3: Data Analytics and Querying | - Analytical tools and querying
|
| Topic 4: Big Data Storage | - HDFS and storage systems
|
| Topic 5: Data Ingestion and Integration | - Data ingestion frameworks
|
| Topic 6: Big Data Fundamentals | - Big Data concepts and architecture
|





