Oracle Big Data Fundamentals Ed 2 -NEW

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.

Learn To:

  • Define Big Data.
  • Describe Oracle's Integrated Big Data Solution and its components.
  • Define Cloudera's distribution of Hadoop and its core components and the Hadoop ecosystem.
  • Use the Hadoop Distributed File System (HDFS).
  • Acquire big data using the Command Line Interface, Flume, and Oracle NoSQL Database.
  • Process big data using MapReduce, YARN, Hive, Oracle XQuery for Hadoop, Solr, and Spark.
  • Integrate big data and warehouse data using Sqoop, Oracle Big Data Connectors, Copy to Hadoop, Oracle Data Integrator, and Oracle GoldenGate for big data, and Oracle Big Data SQL.
  • Analyze big data using Oracle Big Data SQL, Oracle Big Data Spatial and Graph, and Oracle Advanced Analytics technologies.
  • Use and manage Oracle Big Data Appliance.
  • Identify the key features and benefits of Oracle Big Data Cloud Service.
  • Identify the key features and benefits of Oracle Big Data Cloud Service - Compute Edition.

Benefits To You

You will benefit from this course as you define the term big data and discuss Oracle’s Big Data solution and use cases. You learn about Apache Hadoop and its core components: HDFS, YARN, and MapReduce. You will also learn about some of the major projects in the Hadoop ecosystem. You will learn how to acquire data into HDFS and Oracle NoSQL Database by using CLI, Flume, and Kafka. To process the data stored in HDFS, you run MapReduce and Spark jobs.

You also explore a range of analysis options, including Oracle Advanced Analytics (OAA) (comprised of Oracle Data Mining and Oracle R Enterprise), and Oracle Big Data Spatial and Graph.

You will learn about the Oracle Big Data Appliance, Oracle Big Data Cloud Service, and Oracle Big Data Cloud Service - Compute Edition. You will study case scenarios where Oracle Big Data stands as the perfect solution.

Audience:

  • Databaseadministrator

Prerequisites:

Required Prerequisites:

  • Database Basics and Administration

Suggested Prerequisites:

  • Exposure to Big Data

Course objectives:

  • Define Big Data
  • Describe Oracle's Integrated Big Data Solution and its components
  • Define Cloudera's distribution of Hadoop and its core components and the Hadoop ecosystem
  • Use the Hadoop Distributed File System (HDFS)
  • Acquire big data using the Command Line Interface, Flume, and Oracle NoSQL Database
  • Process big data using MapReduce, YARN, Hive, Oracle XQuery for Hadoop, Solr, and Spark
  • Integrate big data and warehouse data using Sqoop, Oracle Big Data Connectors, Copy to Hadoop, Oracle Data Integrator, and Oracle GoldenGate for big data, and Oracle Big Data SQL
  • Analyze big data using Oracle Big Data SQL, Oracle Big Data Spatial and Graph, and Oracle Advanced Analytics technologies
  • Use and manage Oracle Big Data Appliance
  • Identify the key features and benefits of Oracle Big Data Cloud Service
  • Identify the key features and benefits of Oracle Big Data Cloud Service - Compute Edition

Read the official course description here.