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Oracle Big Data Fundamentals

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  • Код курса: BDF
  • Длительность: 5 д.
  • Цена: 125 375 р.
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Описание курса

Аннотация:

In the Oracle Big Data Fundamentals course, learn to use Oracle's Integrated Big Data Solution to acquire, process, integrate and analyze big data.

Слушатели изучат:

  • Define Big Data.
  • Describe Oracle's Integrated Big Data Solution and its components.
  • Define the Hadoop Ecosystem and Cloudera's Distribution Including Apache Hadoop (CDH).
  • Use the Hadoop Distributed File System (HDFS)to store, distribute, and replicate data across the nodes in the Hadoop
  • cluster.
  • Acquire big data using the HDFS Command Line Interface, Flume, and Oracle NoSQL Database.
  • Use MapReduce and YARN for distributed processing of the data stored in the Hadoop cluster.
  • Process big data using MapReduce, YARN, Hive, Pig, Oracle XQuery for Hadoop, Solr, and Spark.
  • Integrate big data and warehouse data using Scoop, Oracle Big Data Connectors, Copy to BDA, Oracle Big Data SQL,
  • Oracle Data Integrator, and Oracle GoldenGate.
  • Analyze big data using Oracle Big Data SQL, Oracle Advanced Analytics technologies, and Oracle Big Data Discovery.
  • Use and manage Oracle Big Data Appliance.
  • Secure your data.

Преимущества для Вас:


Increase your Big Data technology portfolio by learning to use a wide range of big data acquisition, processing,
integration, and analysis techniques. In addition, you learn about Oracle's engineered systems for Big Data, which
provide a variety of data integration and analysis capabilities. Analysis options include Oracle Big Data SQL, Oracle
Data Mining, Oracle R Enterprise, and Oracle Big Data Discovery.
Benefit from a hands-on, case-study approach while learning about Oracle's Integrated Big Data Solution.

Аудитория:

  • Application Developers
  • Database Administrators
  • Hadoop Programmer
  • Hadoop/BigData Cluster Administrator

Предварительная подготовка:

 

  • Required Prerequisites
  • Database Basics (optional)
  • Exposure to Big Data
  • Basic knowledge of Hadoop

Цели курса:

 

  • Examine MapReduce programs and balance MapReduce jobs
  • Use the Oracle BigDataLite Virtual Machine
  • 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
  • Install, use, and administer the Oracle Big Data Appliance
  • Provide data security and enable resource management

Программа курса:


Introduction

  • Lesson Objectives
  • Questions About You
  • Course Objectives
  • Course Road Map
  • Practice Environment
  • Connecting to the Course Environment (Oracle Big Data Lite Virtual Machine) Using VNC
  • Starting the Oracle Big Data Lite Virtual Version Machine 4.01
  • Introducing the Movieplex

Big Data and the Oracle Information Management System

  • Big Data Opportunities and Challenges
  • Oracle Information Management Architecture
  • Optimizing/Simplifying Architecture with Engineered Systems

Using Oracle Big Data Lite Virtual Machine

  • Overview of the Big Data product stack
  • Access methods
  • Review the Oracle Big Data Virtual Machine Home page
  • Deep dive into the Oracle case study
  • Identify the data structures used
  • Understand the importance of filtering the data
  • Identify the Hadoop Command Guide URL, and review the fs and version commands that are used in the practice

Introduction to the Big Data Ecosystem

  • Lesson Objectives
  • Computer Clusters
  • Distributed Computing
  • The Hadoop Ecosystem
  • Hadoop Core Components
  • Choosing a Hadoop Distribution and Version
  • Types of Analysis That Use Hadoop
  • Cloudera's Distribution Including Apache Hadoop (CDH) Architecture

Introduction to the Hadoop Distributed File System (HDFS)

  • Lesson Objectives
  • Hadoop Distributed Filesystem (HDFS)

Acquire Data using CLI, Fuse-DFS, and Flume

  • Introducing the CLI
  • Examining Fuse DFS
  • Using Flume

Using and Administering Oracle NoSQL Database

  • Define Oracle NoSQL Database
  • List Benefits
  • Load data into the DB
  • Access NoSQL Data
  • Plan an Oracle NoSQL Database installation and Node configuration
  • Configure and Deploy a KVStore
  • Using the GUI Interface (monitoring the KVStore)
  • Use the NoSQL Database Table Model (both CLI and Java API)
  • Introduction to MapReduce
  • Lesson Objectives
  • MapReduce

Interacting with MapReduce

  • MapReduce Daemons (Services) update based on YARN
  • Interacting With MapReduce
  • Fault Tolerance
  • MapReduce Examples

Using YARN to Manage Resources

  • YARN Overview
  • YARN: Theme 1
  • YARN: Theme 2
  • Job Submission in YARN
  • YARN Features
  • MapReduce 2.0: Overview
  • YARN Services

Overview of Apache Hive and Apache Pig

  • Apache Hive
  • Apache Pig

Overview of Cloudera Impala, Solr, and Apache Spark

  • Examining Cloudera Impala
  • Integrating Hadoop and Oracle
  • What is Apache Solr (Cloudera Serach)?
  • Cloudera Search: Key Capabilities, Features, Tasks, Indexes, and Collections
  • Introduction to Spark
  • Resilient Distributed Datasets (RDD) and Directed Acyclic Graph (DAG) Execution Engine
  • Overview of Scala Language

Using Oracle XQuery for Hadoop

  • Extensible Markup Language (XML)
  • XML Elements and Attributes
  • XML Path (XPath) Language: Node Types and Family Relationships
  • FLWOR Expressions
  • Oracle XQuery for Hadoop (OXH) Features and Data Flow
  • OXH Adapters and Configuration Properties
  • XQuery Transformation and Basic Filtering
  • Viewing the Completed OXH Job in YARN

Options for Integrating Your Big Data

  • Apache Sqoop
  • Oracle Loader for Hadoop (OLH)
  • Copy To BDA
  • Oracle SQL Connector for HDFS (OSCH)
  • Oracle Data Integrator (ODI) and Oracle GoldenGate (OGG)

Using Oracle Big Data SQL

  • Context: Exadata and Big Data Appliance
  • What is Big Data SQL?
  • Configuring Oracle Big Data SQL
  • Create Oracle Tables over HDFS data
  • Leverage the Hive Metastore to Access Data in Hadoop
  • Apply Oracle Database Security Policies Over Data in Hadoop
  • Combine HDFS and Oracle data for analysis (SQL Pattern Matching)

Using Oracle Advanced Analytics

  • Oracle Data Mining (ODM)
  • Oracle R Enterprise (ORE)
  • Oracle R Advanced Analytics for Hadoop (ORAAH)

Introducing Oracle Big Data Discovery

  • Discover Complex Data Using Oracle Big Data Discovery
  • Oracle R Enterprise (ORE) Performing Complex Event Processing
  • Decision Making Guidelines
  • Recommendations

Using the Oracle Big Data Appliance (BDA)

  • Identify the Hardware and Software Components of Oracle Big Data Appliance
  • The Available Oracle BDA Configurations
  • Using the Mammoth Utility
  • Using Oracle BDA Configuration Generation Utility
  • BDA Configurations: Full Rack, Starter Rack, and In-Rack Expansion
  • Critical and Noncritical Nodes in an Oracle BDA CDH Cluster
  • Oracle Integrated Lights Out Manager (ILOM)

Managing the Oracle Big Data Appliance

  • Mammoth Installation Types and Steps
  • Monitoring the Oracle BDA
  • Oracle BDA Command-Line Interface
  • Monitor BDA with Oracle Enterprise Manager (OEM)
  • Hadoop Cluster Monitoring
  • Using Cloudera Manager
  • Using Cloudera Hue to interact with CDH
  • Starting and Stopping Oracle BDA

Balancing MapReduce Jobs

  • Define the Perfect Balance Feature of Oracle BDA
  • Use Perfect Balance to Balance MapReduce Jobs
  • Run Job Analyzer as a Stand-alone Utility or With Perfect Balance
  • Identify, Locate, and Read the Generated Reports
  • Collect additional Metrics with Job Analyzer
  • Configure Perfect Balance
  • Use chopping (partitioning of values)
  • Troubleshoot Jobs Running with Perfect Balance and Use the Perfect Balance Examples

Securing Your Data on the BDA

  • Security Levels
  • Authentication, Authorization, Auditing, and Encryption
  • BDA Secure Installation: Kerberos, Sentry, Oracle Audit Vault, and Encryption
  • Strong Authentication With Kerberos
  • Cloudera Navigator
  • Configure Perfect Balance
Записаться на курс: Oracle Big Data Fundamentals

Начало курса: 18.12.17


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