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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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Oracle 1z1-449 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Processing | - Batch and stream processing
|
| Topic 2: Data Analytics and Querying | - Analytical tools and querying
|
| Topic 3: Big Data Storage | - HDFS and storage systems
|
| Topic 4: Big Data Fundamentals | - Big Data concepts and architecture
|
| Topic 5: Security and Administration | - Security and cluster management
|
| Topic 6: Data Ingestion and Integration | - Data ingestion frameworks
|

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