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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 the Hadoop Distributed File System to use Access Control Lists
Use LDAP and the Active directory for Hadoop access control
Set up Kerberos security in Hadoop
Set up and configure Oracle Big Data SQL
Securing Hadoop
Set up Hive and Impala access security using Apache Sentry
Explain how Big Data SQL is used in a Big Data Appliance/Exadata architecture
Access NoSQL and Hadoop data using a Big Data SQL query
Big Data SQL
Describe Oracle Big Data Appliance security and encryption features

Oracle 1z0-449 Exam Syllabus Topics:

Topic	Details
Topic 1	Describe the architectural components of Oracle R Advanced Analytics for Hadoop Describe the Impala real-time query and explain how it differs from Hive
Topic 2	Use Oracle Xquery with Hadoop-Hive to map an XML file into a Hive table Explain the business drivers behind Big Data and NoSQL versus Hadoop
Topic 3	Demonstrate Big Data SQL syntax used in create table statements Implement the Oracle Table Access for a Hadoop Connector
Topic 4	Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop Describe the differences between MapReduce and YARN
Topic 5	Describe the Oracle R Advanced Analytics for a Hadoop connector Implement the data flow mechanism used in Flume
Topic 6	Use LDAP and the Active directory for Hadoop access control Describe the architectural components of the Big Data Appliance
Topic 7	Describe the architectural components of MapReduce Identify the benefits of the Hadoop Distributed File System (HDFS)