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:

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

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Average Salary of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Certified Professionals

The average salary:

• England - 75,267 POUND
• Europe - 100,440 EURO
• United State - 151,682 USD
• India - 6,71,117 INR

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 Hadoop High Availability
• Cloudera Enterprise Hadoop Distribution
• Oracle Loader for Hadoop
• Explain the Oracle Loader for Hadoop
• Explain the Hadoop Ecosystem
• Core Hadoop
• Describe the importance of Namenode, Datanode, JobTracker, TaskTracker in Hadoop
• Configure the online and offline options for the Oracle Loader for Hadoop
• Set up Hive with formatters and SerDe
• Implement the Oracle Table Access for a Hadoop Connector
• Move data from a database to a Hadoop Distributed File System using Sqoop
• Execute a Hive query
• Implement the Hadoop Distributed File System
• Load Hadoop Distributed File System Data into an Oracle database
• Describe the Hive architecture
• Implement the data flow mechanism used in Flume
• Create a database and table from a Hadoop Distributed File System file in Hive
• Describe the architectural components of MapReduce
• Use Pig Latin to query data in HDFS
• Describe the Impala real-time query and explain how it differs from Hive
• Describe the differences between MapReduce and YARN
• Identify the benefits of the Hadoop Distributed File System (HDFS)
• Use Flume in the Hadoop Distributed File System

Understanding functional and technical aspects of Oracle Big Data 2017 Certification Implementation Specialist Certification Exam 1z0-449 Big Data Technical Overview

The following will be discussed here:

• Describe how Big Data Appliance integrates with Exadata and Exalytics
• Big Data Technical Overview
• Identify and architect the services that run on each node in the Big Data Appliance, as it expands from single to multiple nodes
• Explain the business drivers behind Big Data and NoSQL versus Hadoop
• Describe the architectural components of the Big Data Appliance
• Describe the Big Data Discovery and Big Data Spatial and Graph solutions