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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:
- Identify the benefits of the Hadoop Distributed File System (HDFS)
- Use Pig Latin to query data in HDFS
- Describe Hadoop High Availability
- Implement the data flow mechanism used in Flume
- Load Hadoop Distributed File System Data into an Oracle database
- Explain the Oracle Loader for Hadoop
- Describe the Impala real-time query and explain how it differs from Hive
- Configure the online and offline options for the Oracle Loader for Hadoop
- Set up Hive with formatters and SerDe
- Core Hadoop
- Move data from a database to a Hadoop Distributed File System using Sqoop
- Execute a Hive query
- Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
- Describe the architectural components of MapReduce
- Implement the Hadoop Distributed File System
- Describe the differences between MapReduce and YARN
- Describe the Hive architecture
- Oracle Loader for Hadoop
- Use Flume in the Hadoop Distributed File System
- Implement the Oracle Table Access for a Hadoop Connector
- Create a database and table from a Hadoop Distributed File System file in Hive
- Explain the Hadoop Ecosystem
- Cloudera Enterprise Hadoop Distribution
Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449
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:
- Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
- Big Data Technical Overview
- Describe the Big Data Discovery and Big Data Spatial and Graph solutions
- Explain the business drivers behind Big Data and NoSQL versus Hadoop
- Describe the architectural components of the Big Data Appliance
- Describe how Big Data Appliance integrates with Exadata and Exalytics
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:
- Use LDAP and the Active directory for Hadoop access control
- Describe Oracle Big Data Appliance security and encryption features
- Big Data SQL
- Securing Hadoop
- Set up Hive and Impala access security using Apache Sentry
- Demonstrate Big Data SQL syntax used in create table statements
- Set up and configure Oracle Big Data SQL
- Set up Kerberos security in Hadoop
- Access NoSQL and Hadoop data using a Big Data SQL query
- 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
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