Oracle Big Data 2017 Implementation Essentials : 1z1-449

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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:

• Big Data SQL
• Describe Oracle Big Data Appliance security and encryption features
• Set up and configure Oracle Big Data SQL
• Set up Kerberos security in Hadoop
• Demonstrate Big Data SQL syntax used in create table statements
• Access NoSQL and Hadoop data using a Big Data SQL query
• Use LDAP and the Active directory for Hadoop access control
• Set up Hive and Impala access security using Apache Sentry
• 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
• Securing Hadoop

Oracle 1z1-449 Exam Syllabus Topics:

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 Core Hadoop

The following will be discussed here:

• Use Pig Latin to query data in HDFS
• Describe the differences between MapReduce and YARN
• Explain the Hadoop Ecosystem
• Execute a Hive query
• Cloudera Enterprise Hadoop Distribution
• Use Flume in the Hadoop Distributed File System
• Explain the Oracle Loader for Hadoop
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Set up Hive with formatters and SerDe
• Describe the architectural components of MapReduce
• Core Hadoop
• Implement the Hadoop Distributed File System
• Implement the Oracle Table Access for a Hadoop Connector
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Move data from a database to a Hadoop Distributed File System using Sqoop
• Describe the Hive architecture
• 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
• Configure the online and offline options for the Oracle Loader for Hadoop
• Load Hadoop Distributed File System Data into an Oracle database
• Create a database and table from a Hadoop Distributed File System file in Hive

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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 SQL Connector for Hadoop Connector
• Integrate an Oracle NoSQL database with an Oracle database and Hadoop
• Use Oracle R Advanced Analytics for a Hadoop connector
• Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database
• Set up the KVStore
• Describe the architectural components of Oracle R Advanced Analytics for Hadoop
• Oracle NoSQL Database
• Use KVLite to test NoSQL applications
• Implement an Oracle Database connection with Oracle R Enterprise
• Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
• Oracle SQL Connector for Hadoop Distributed File System (HDFS)
• Install the Oracle SQL Connector for Hadoop
• Use an Oracle NoSQL database
• Describe the Oracle R Advanced Analytics for a Hadoop connector
• Programming with R

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