Oracle 1z1-449

Oracle 1z1-449 Exam Syllabus Topics:

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 Core Hadoop

The following will be discussed here:

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

How to Prepare For Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

Preparation Guide for Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

Introduction

The Oracle Big Data 2017 Implementation Specialist certification is designed for individuals who possess a strong foundation and expertise in selling and implementing Oracle's Big Data solutions. This certification covers topics such as: Hadoop, Oracle NoSQL, Cloudera Technologies like Pig, Hive and Impala, and the Big Data Connectors. The Oracle Big Data 2017 Implementation Specialist certification differentiates candidates in the marketplace by providing a competitive edge through proven expertise. Up-to-date training and field experience are recommended. The certification is available to all candidates but is geared toward members of the Oracle PartnerNetwork. OPN members earning this certification will be recognized as OPN Certified Specialists.

The Oracle Big Data 2017 Implementation Specialist certification qualifies as competency criteria for the Oracle Big Data specialization.

The Oracle 1Z0-449 Certification Program certifies candidates on skills and knowledge related to Oracle Big Data X4-2 products and technologies. The Oracle Big Data 2017 Certification Implementation Specialist is granted based on a combination of passing exams, training and performance-based assignments, depending on the level of certification. Oracle 1Z0-449 certification is tangible benchmark of experience and expertise that help you stand out in a crowd among employers. To ensure success, Oracle recommends combining education courses, practice exam and hands-on experience to prepare for your Oracle Big Data 2017 Implementation Essentials certification exam as questions will test your ability to apply the knowledge you have gained in hands-on practice or professional experience.

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 and configure Oracle Big Data SQL
• Securing Hadoop
• Big Data SQL
• Set up Kerberos security in Hadoop
• Use LDAP and the Active directory for Hadoop access control
• Set up Hive and Impala access security using Apache Sentry
• Describe Oracle Big Data Appliance security and encryption features
• 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
• Set up the Hadoop Distributed File System to use Access Control Lists

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