What is Implementation Essentials 1z0-435 Certification Exam and Retake policy
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Oracle Big Data 2017 Implementation Essentials 1z1-449 exam torrent materials
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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:
- Oracle Loader for Hadoop
- Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
- Describe the Hive architecture
- Create a database and table from a Hadoop Distributed File System file in Hive
- Set up Hive with formatters and SerDe
- Use Pig Latin to query data in HDFS
- Explain the Hadoop Ecosystem
- Describe the differences between MapReduce and YARN
- Move data from a database to a Hadoop Distributed File System using Sqoop
- Implement the Oracle Table Access for a Hadoop Connector
- Implement the Hadoop Distributed File System
- Cloudera Enterprise Hadoop Distribution
- Explain the Oracle Loader for Hadoop
- Load Hadoop Distributed File System Data into an Oracle database
- Execute a Hive query
- Use Flume in the Hadoop Distributed File System
- Identify the benefits of the Hadoop Distributed File System (HDFS)
- Configure the online and offline options for the Oracle Loader for Hadoop
- Implement the data flow mechanism used in Flume
- Describe Hadoop High Availability
- Describe the Impala real-time query and explain how it differs from Hive
- Core Hadoop
- Describe the architectural components of MapReduce
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Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Big Data SQL
The following will be discussed here:
- Demonstrate Big Data SQL syntax used in create table statements
- Set up Kerberos security in Hadoop
- Describe Oracle Big Data Appliance security and encryption features
- Securing Hadoop
- Set up Hive and Impala access security using Apache Sentry
- Set up and configure Oracle Big Data SQL
- Set up the Hadoop Distributed File System to use Access Control Lists
- Explain how Big Data SQL is used in a Big Data Appliance/Exadata architecture
- Big Data SQL
- Access NoSQL and Hadoop data using a Big Data SQL query
- Use LDAP and the Active directory for Hadoop access control
Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449
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Oracle 1z1-449 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Technical Overview | 15% | - Business drivers for Big Data and NoSQL - Hadoop ecosystem fundamentals - Big Data Appliance architecture and components |
| Advanced Analytics & Security | 20% | - Security and access control - LDAP/Active Directory authentication - Oracle R Advanced Analytics for Hadoop |
| Big Data SQL & Integration | 20% | - Oracle Table Access for Hadoop Connector - Oracle Loader for Hadoop - Integration with Exadata and Exalytics - XQuery with Hadoop-Hive |
| Oracle NoSQL Database | 20% | - KVStore setup and configuration - Architecture: Shard, Replica, Master - Integration with Oracle Database and Hadoop |
| Core Hadoop | 25% | - Hive, Impala, Pig usage - HDFS architecture and high availability - MapReduce vs YARN - Data ingestion with Flume and Sqoop |



