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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:
- Oracle NoSQL Database
- Install the Oracle SQL Connector for Hadoop
- Configure an external table for HDFS using the Oracle SQL Connector for Hadoop
- Use Oracle R Advanced Analytics for a Hadoop connector
- Describe the Oracle R Advanced Analytics for a Hadoop connector
- Describe the architectural components of Oracle R Advanced Analytics for Hadoop
- Describe the architectural components (Shard, Replica, Master) of the Oracle NoSQL database
- Use an Oracle NoSQL database
- Set up the KVStore
- Integrate an Oracle NoSQL database with an Oracle database and Hadoop
- Oracle SQL Connector for Hadoop Distributed File System (HDFS)
- Use KVLite to test NoSQL applications
- Programming with R
- Implement an Oracle Database connection with Oracle R Enterprise
- Describe the Oracle SQL Connector for Hadoop Connector
Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449
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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.
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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:
- Move data from a database to a Hadoop Distributed File System using Sqoop
- Implement the Hadoop Distributed File System
- Describe the Hive architecture
- Identify the benefits of the Hadoop Distributed File System (HDFS)
- Explain the Hadoop Ecosystem
- Load Hadoop Distributed File System Data into an Oracle database
- Explain the Oracle Loader for Hadoop
- Use Pig Latin to query data in HDFS
- Implement the data flow mechanism used in Flume
- Use Flume in the Hadoop Distributed File System
- Implement the Oracle Table Access for a Hadoop Connector
- Configure the online and offline options for the Oracle Loader for Hadoop
- Create a database and table from a Hadoop Distributed File System file in Hive
- Set up Hive with formatters and SerDe
- Execute a Hive query
- Describe Hadoop High Availability
- Oracle Loader for Hadoop
- Describe the architectural components of MapReduce
- Core Hadoop
- Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
- Describe the differences between MapReduce and YARN
- Cloudera Enterprise Hadoop Distribution
- Describe the Impala real-time query and explain how it differs from Hive






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