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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:

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

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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.

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:

• Describe the differences between MapReduce and YARN
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Use Pig Latin to query data in HDFS
• 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 the Hive architecture
• Cloudera Enterprise Hadoop Distribution
• Use Flume in the Hadoop Distributed File System
• Configure the online and offline options for the Oracle Loader for 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 Hadoop High Availability
• Oracle Loader for Hadoop
• Implement the data flow mechanism used in Flume
• Explain the Hadoop Ecosystem
• Implement the Hadoop Distributed File System
• Describe the architectural components of MapReduce
• Set up Hive with formatters and SerDe
• Core Hadoop
• Explain the Oracle Loader for Hadoop
• Implement the Oracle Table Access for a Hadoop Connector
• Load Hadoop Distributed File System Data into an Oracle database

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