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Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Big Data Technical Overview
The following will be discussed here:
- Big Data Technical Overview
- Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
- Explain the business drivers behind Big Data and NoSQL versus Hadoop
- Describe the Big Data Discovery and Big Data Spatial and Graph solutions
- Describe how Big Data Appliance integrates with Exadata and Exalytics
- Describe the architectural components of the Big Data Appliance
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 Big Data SQL
The following will be discussed here:
- Describe Oracle Big Data Appliance security and encryption features
- Set up the Hadoop Distributed File System to use Access Control Lists
- Demonstrate Big Data SQL syntax used in create table statements
- Use LDAP and the Active directory for Hadoop access control
- Set up Hive and Impala access security using Apache Sentry
- Set up Kerberos security in Hadoop
- Access NoSQL and Hadoop data using a Big Data SQL query
- Set up and configure Oracle Big Data SQL
- Big Data SQL
- Explain how Big Data SQL is used in a Big Data Appliance/Exadata architecture
- Securing Hadoop
Oracle 1z1-449 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Core Hadoop | 25% | - HDFS architecture and high availability - Hive, Impala, Pig usage - MapReduce vs YARN - Data ingestion with Flume and Sqoop |
| Oracle NoSQL Database | 20% | - Integration with Oracle Database and Hadoop - KVStore setup and configuration - Architecture: Shard, Replica, Master |
| Big Data SQL & Integration | 20% | - Oracle Table Access for Hadoop Connector - XQuery with Hadoop-Hive - Integration with Exadata and Exalytics - Oracle Loader for Hadoop |
| Big Data Technical Overview | 15% | - Big Data Appliance architecture and components - Business drivers for Big Data and NoSQL - Hadoop ecosystem fundamentals |
| Advanced Analytics & Security | 20% | - Oracle R Advanced Analytics for Hadoop - Security and access control - LDAP/Active Directory authentication |
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