Métodos de Formação

This Oracle Big Data Essentials training deep dives into using the Oracle Big Data Solution. Through hands-on, interactive instruction and exercises, you'll develop the skills to acquire, organize, analyze and make key decisions based on the big data.

Learn To:

• Define Big Data.
• Understand Oracle's Integrated Big Data Solution.
• Describe the Oracle Big Data Components.
• Define Cloudera's distribution of Hadoop and its components.
• Acquire raw data using Oracle NoSQL Database and HDFS.
• Organize the collected data using Hive and Oracle Big Data Connectors.
• Analyze big data using the Oracle Analytics tool.
• Derive business decisions using Oracle BI tools.
• Study the case-scenarios where Oracle Big Data is applied successfully.

Introduction

• Course Objectives
• Course Schedule
• Course Environment
• Accessing the Labs Directory
• Additional Resources

Overview of Big Data

• Defining Big Data
• Big Data Technologies
• Four characteristics of Big Data
• Business Value of Big Data
• Current Implementation Examples

Understanding Oracle's Solution for Big Data

• Overview of Oracle Engineered Systems
• Understand the phases of Oracle Big Data
• Oracle Big Data Integration Process
• Benefits

Using Oracle Big Data Appliance

• Overview of BDA
• Managing the Hardware Components
• Overview of the Software Components
• Networking Mechanisms
• Configuration Mechanisms
• Installation guidelines
• Usage restrictions

Data Acquisition Options in BDA

• Overview of Oracle NoSQL Database
• Overview of Hadoop Framework
• Understand HDFS
• NoSQL Versus HDFS
• Real-time scenarios

Using The Hadoop Distributed File System

• Define HDFS
• Components
• Architecture
• List the benefits
• Run a sample application to insert logs to HDFS

Using Flume in HDFS

• Define Flume
• Understand the data flow mechanism of Flume
• Understand the configuration of Flume
• List the advantages of using Flume
• Run a sample application

Using Oracle NoSQL Database

• Define Oracle NoSQL Database
• Components
• Architecture
• Define KVStore and KVLite
• List the benefits

Using Hive

• Overview of Hive
• Invoking Hive
• Creating Hive database and tables
• Data manipulation in Hive
• Creating partitioned tables for analyzing logs

Using Oracle Big Data Connectors

• Get introduced to Oracle Big Data Connectors
• Connecting Oracle Exadata with BDA
• MapReduce Process
• Solving the WordCount problem using MapReduce

Using Oracle Loader for Hadoop

• OLH Architecture
• Installing OLH
• OLH Modes
• Loading from different input sources: OLH and input format
• Load Balancing while loading into partitioned tables
• Example to load data using OLH

Using Oracle Sql Connector for HDFS

• Installing OSCH in a Hadoop Cluster and an Oracle Database Machine
• Role of External Table in OSCH
• Creating External Tables in OSCH
• Performance comparison of the connectors
• Loading data into the database using OSCH
• Example to access data from HDFS using external table

Using ODI Application Adapter for Hadoop

• Overview of ODI
• ODI Architecture and Agents
• ODI Knowledge Modules
• Topology setting
• Reverse Engineering Hive Tables
• Example to transform data within Hadoop using ODIAAH

Using Oracle R Connector for Hadoop

• Example to access data from HDFS using external table
• List the ORCH packages
• List the architectural components
• Establish a connection with HDFS and Oracle Database
• Sample R program using ORCH

Using In-Database Analytics

• Overview of Oracle In-Database MapReduce
• Overview of Oracle In-Database Analytics

Using Oracle Big Data Integration Options

• Architecture and components of Oracle Big Data Solution
• Connecting Oracle exalytics with BDA
• Integrating BDA results with OBIEE

Examining Big Data Use-cases

• Use of Big Data in Manufacturing Industry
• Financial Services
• Insurance Services
• Utilities Sector
• Telecom
• Sentiment Analysis in Retail Industry

• Define Big Data
• Understand the Importance of Big Data Technologies
• Obtain an insight of the current implementation details
• Understand the Oracle Big Data Solution
• Explore the Integration possibilities of Oracle Engineered Systems
• Learn to use Oracle Big Data Appliance
• Identify the hardware components and the software components of BDA
• Understand Cloudera's distribution of Hadoop
• Define Hadoop Ecosystem
• Identify the two techniques used for acquiring big data
• Compare and analyze the best way to acquire big data
• Learn to use HDFS to acquire unstructured data
• Understand the working of Oracle NoSQL Database
• Understand the importance of organizing big data
• Define Hive
• Learn to create Hive database and external tables

Required Prerequisites:

• Basic knowledge in analyzing Big Data
• Java programming

Suggested Prerequisites:

• Exposure to working in Multi-tier server environment
• Introduction to Big Data

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