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Учебный Центр «Микротест» - обучение и сертификация IT-специалистов

Курс Big Data Essentials (Код: RT_OrBDF)

Oracle

 


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.
Курс длится 40 академических часов


Аудитория
  • Database Administrators
  • Application Developers
Необходимая подготовка
  • Java programming
  • Basic knowledge in analyzing Big Data
Цели курса
  • 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

Подробная программа курса

Содержание
  • 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 ins ert 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 se tting
    • 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

Скрыть подробную программу курса

Заказать обучение «Big Data Essentials (RT_OrBDF)» можно, кликнув на удобную дату его проведения, по почте training AT training-microtest DOT ru или по одному из телефонов, указанных в разделе Контакты.



 
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