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Oracle Big Data Fundamentals

Cost
$5000 USD
Course Code
D86898GC20
Duration
5 Days
Format
Live Virtual Class

Course Schedule

Oracle Big Data Fundamentals

$5,000.00

SCHEDULED, Sep.16.2024 - Sep.20.2024 (5 days), 09:00 AM - 05:00 PM US Pacific
SCHEDULED, Dec.16.2024 - Dec.20.2024 (5 days), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Mar.17.2025 - Mar.21.2025 (5 Days), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Jun.16.2025 - Jun.20.2025 ( 5 days), 09:00 AM - 05:00 PM US Eastern
$5,000.00
$5,000.00
$5,000.00
$5,000.00
SKU: D86898GC20 Categories: ,

Overview

In the Oracle Big Data Fundamentals course, you learn about big data, the technologies used in processing big data and Oracle’s solution to handle big data. You also learn to use Oracle Big Data Appliance to process big data, and obtain a hands-on experience in using Oracle Big Data Lite VM. You identify how to acquire the raw data from a variety of sources, and learn to use HDFS and Oracle NoSQL Database to store the data. You learn about data integration options available in Oracle Big Data. These include Oracle Big Data Connectors to move data to and from Oracle Database, Oracle Data Integrator and Oracle GoldenGate for Big Data which provide integration and synchronization capabilities for data unification of relational and Hadoop data, and Oracle Big Data SQL, which enables dynamic, integrated access for all of your data big data, whether it is stored in HDFS, NoSQL, or Oracle Database. Finally, you learn how to analyze your big data using Oracle Big Data SQL, Oracle Advance Analytics, and Oracle Big Data Spatial and Graph.

Audience

Those students who have a background in Database basics and administration.

Suggested Prerequisites

  • Database Basics and Administration
  • Exposure to Big Data

Topics

  • Review Oracle’s Big Data Management Architecture and Engineered Systems
  • Define Big Data
  • Identify Big Data Use Cases
  • Define the Hadoop ecosystem and its components
  • Examine MapReduce programs and balance MapReduce jobs
  • Use Oracle NoSQL Database
  • Use Oracle XQuery for Hadoop
  • Understand Oracle Big Data Cloud Service: Key Features Benefits
  • Install
  • use
  • and administer the Oracle Big Data Appliance
  • Provide data security and enable resource management
  • Examine MapReduce programs and balance MapReduce jobs
  • Use the Oracle BigDataLite Virtual Machine

Overview

In the Oracle Big Data Fundamentals course, you learn about big data, the technologies used in processing big data and Oracle’s solution to handle big data. You also learn to use Oracle Big Data Appliance to process big data, and obtain a hands-on experience in using Oracle Big Data Lite VM. You identify how to acquire the raw data from a variety of sources, and learn to use HDFS and Oracle NoSQL Database to store the data. You learn about data integration options available in Oracle Big Data. These include Oracle Big Data Connectors to move data to and from Oracle Database, Oracle Data Integrator and Oracle GoldenGate for Big Data which provide integration and synchronization capabilities for data unification of relational and Hadoop data, and Oracle Big Data SQL, which enables dynamic, integrated access for all of your data big data, whether it is stored in HDFS, NoSQL, or Oracle Database. Finally, you learn how to analyze your big data using Oracle Big Data SQL, Oracle Advance Analytics, and Oracle Big Data Spatial and Graph.

Audience

Those students who have a background in Database basics and administration.

Suggested Prerequisites

  • Database Basics and Administration
  • Exposure to Big Data

Topics

  • Review Oracle’s Big Data Management Architecture and Engineered Systems
  • Define Big Data
  • Identify Big Data Use Cases
  • Define the Hadoop ecosystem and its components
  • Examine MapReduce programs and balance MapReduce jobs
  • Use Oracle NoSQL Database
  • Use Oracle XQuery for Hadoop
  • Understand Oracle Big Data Cloud Service: Key Features Benefits
  • Install
  • use
  • and administer the Oracle Big Data Appliance
  • Provide data security and enable resource management
  • Examine MapReduce programs and balance MapReduce jobs
  • Use the Oracle BigDataLite Virtual Machine

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