Oracle Oracle Big Data Appliance 1z1-449

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:

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

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

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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:

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

How to book the Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449

You can schedule the exam anytime at Pearson VUE. You can pay directly from a credit card or redeem a voucher purchased from Oracle.