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

What is Implementation Essentials 1z0-435 Certification Exam and Retake policy

Oracle Certification can help you gain a competitive advantage by developing a skill set that's in demand, worldwide. You will get to join the 80% of Oracle certification holders who reported a promotion, salary increase or other career improvements. It will give you access to secure digital badge that you can add to your social media profiles.

Cloud Certification for Oracle credentials are valid for a period of 18 months from the date you earn the credential. The credential will become inactive at the end of 18 months. Oracle requires candidates to hold an active credential in order to access certain certification benefits including, without limitation, use of Oracle certification logos, e-Certificates, score reports, digital badges and certification verification.

All the candidates must wait 14 days before retaking a failed proctored exam. (Registration will be allowed on the 14th day). Candidates may not retake a passed exam at any time and may not retake a beta exam at any time. Also, candidates are only allowed 4 attempts to pass an exam in a 12-month period.

Oracle certifications need a periodic recertification in order for Oracle to recognize them as active. For this, you must upgrade to a current version within twelve (12) months following Oracle's credential retirement to keep your certification in active status so that you can have access to certain certification benefits including, without limitation, use of Oracle certification logos, eCertificates, score reports, digital badges and certification verification.

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 Oracle Data Integrator (ODI) and Hadoop

The following will be discussed here:

• Describe the differences between MapReduce and YARN
• Xquery for Hadoop Connector
• Implement the data flow mechanism used in Flume
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Set up Oracle Xquery for Hadoop connector
• Describe how Big Data Appliance integrates with Exadata and Exalytics
• Use ODI to move data from an Oracle database to a Hadoop Distributed File System using sqoop
• Use ODI to move data from Hive to Oracle
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Describe Hadoop High Availability
• Use Oracle Xquery with Hadoop-Hive to map an XML file into a Hive table
• Describe the architectural components of MapReduce
• Configure the Oracle Data Integrator with Application Adaptor for Hadoop to interact with Hadoop
• Explain the business drivers behind Big Data and NoSQL versus Hadoop Core Hadoop - Explain the Hadoop Ecosystem
• Implement the Hadoop Distributed File System
• Perform a simple Xquery using Oracle XQuery for Hadoop
• Use Flume in the Hadoop Distributed File System
• Big Data Technical Overview - Describe the architectural components of the Big Data Appliance
• Use ODI to transform data from Hive to Hive
• Describe the Big Data Discovery and Big Data Spatial and Graph solutions
• Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
• Oracle Data Integrator (ODI) and Hadoop

Reference: https://education.oracle.com/oracle-big-data-2017-implementation-essentials/pexam_1Z0-449

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