BIG DATA ANALYTICS with ORACLE

Cesar Perez

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商品描述

Big data is now a reality: The volume, variety and velocity of data coming into your organization continue to reach unprecedented levels. This phenomenal growth means that not only must you understand big data in order to decipher the information that truly counts, but you also must understand the possibilities of what you can do with big data analytics. Using big data analytics you can extract only the relevant information from terabytes, petabytes and exabytes, and analyze it to transform your business decisions for the future. Becoming proactive with big data analytics isn't a one-time endeavor; it is more of a culture change – a new way of gaining ground by freeing your analysts and decision makers to meet the future with sound knowledge and insight. On the other hand, business intelligence (BI) provides standard business reports, ad hoc reports, OLAP and even alerts and notifications based on analytics. This ad hoc analysis looks at the static past, which has its purpose in a limited number of situations. Oracle support for big data implementations, including Hadoop. throught Oracle and Hadoop is possible work in all steps of Analytical Process: Identify/formulate Problem, Data Preparation, Data Exploration, Transform and select, Buil Model, Validate model, Deploy Model and Evaluate/Monitor Results. This book presents the work possibilities that Oracle offers in the modern sectors of Big Data, Business Intelligence and Analytics. The most important tools of Oracle are presented for processing and analyzing large volumes of data in an orderly manner. In turn, these tools allow also extract the knowledge contained in the data. The most important content of the book is as follows: BIG DATA CONCEPTS HADOOP BUILDING A BIG DATA PLATFORM HADOOP COMPONENTS GET DATA INTO HADOOP PRIME BUSINESS APPLICATIONS FOR HADOOP HADOOP CHALLENGES ORACLE BIG DATA APPLIANCE ORACLE BIG DATA APPLIANCE BASIC CONFIGURATION AUTO SERVICE REQUEST (ASR) ORACLE ENGINEERED SYSTEMS FOR BIG DATA SOFTWARE FOR BIG DATA HADOOP DISTRIBUTED FILE SYSTEM APACHE HIVE ORACLE NOSQL DATABASE ORGANIZING BIG DATA MAPREDUCE ORACLE BIG DATA CONNECTORS ORACLE R ADVANCED ANALYTICS FOR HADOOP ORACLE R SUPPORT FOR BIG DATA ANALYZING AND VISUALIZING BIG DATA ORACLE BUSINESS INTELLIGENCE FOUNDATION SUITE OLAP ANALYTICS MOBILE BI ORACLE BIG DATA LITE VIRTUAL MACHINE ADMINISTERING ORACLE BIG DATA APPLIANCE MONITORING MULTIPLE CLUSTERS USING ORACLE ENTERPRISE MANAGER MANAGING OPERATIONS USING CLOUDERA MANAGER USING HADOOP MONITORING UTILITIES USING CLOUDERA HUE TO INTERACT WITH HADOOP STOPPING AND STARTING ORACLE BIG DATA APPLIANCE MANAGING ORACLE BIG DATA SQL SECURITY ON ORACLE BIG DATA APPLIANCE AUDITING ORACLE BIG DATA APPLIANCE ORACLE BIG DATA SQL SQL ON HADOOP SMART SCAN FOR HADOOP ORACLE SQL DEVELOPER & DATA MODELER SUPPORT FOR ORACLE BIG DATA SQL USING ORACLE BIG DATA SQL FOR DATA ACCESS INSTALLING ORACLE BIG DATA SQL CREATING EXTERNAL TABLES FOR ACCESSING BIG DATA ABOUT DATA TYPE CONVERSIONS QUERYING EXTERNAL TABLES ABOUT ORACLE BIG DATA SQL ON ORACLE EXADATA DATABASE MACHINE HIVE USER DEFINED FUNCTIONS (UDFS) ORACLE NO SQL

商品描述(中文翻譯)

大數據現在已經成為現實:進入您組織的數據的量、種類和速度繼續達到前所未有的水平。這種驚人的增長意味著您不僅必須理解大數據以解讀真正重要的信息,還必須了解大數據分析的可能性。使用大數據分析,您可以從千兆字節、拍字節和艾字節中提取只有相關的信息,並對其進行分析,以改變未來的業務決策。成為大數據分析的積極主動者不是一次性的努力;它更像是一種文化變革-一種通過使您的分析師和決策者擁有可靠的知識和洞察力來迎接未來的新方式。

另一方面,商業智能(BI)提供標準的商業報告、即席報告、OLAP甚至基於分析的警報和通知。這種即席分析只關注靜態的過去,在有限的情況下有其用途。

Oracle對大數據實施提供支持,包括Hadoop。通過Oracle和Hadoop,可以在分析過程的所有步驟中工作:識別/制定問題、數據準備、數據探索、轉換和選擇、構建模型、驗證模型、部署模型和評估/監控結果。本書介紹了Oracle在大數據、商業智能和分析現代領域提供的工作機會。它介紹了Oracle處理和分析大量數據的最重要工具。反過來,這些工具還允許提取數據中包含的知識。

本書的最重要內容如下:
- 大數據概念
- Hadoop
- 構建大數據平台
- Hadoop組件
- 將數據載入Hadoop
- Hadoop的主要商業應用
- Hadoop的挑戰
- Oracle大數據設備
- Oracle大數據設備的基本配置
- 自動服務請求(ASR)
- Oracle用於大數據的工程系統
- 大數據軟件
- Hadoop分佈式文件系統
- Apache Hive
- Oracle NoSQL數據庫
- 組織大數據
- MapReduce
- Oracle大數據連接器
- Oracle R高級分析用於Hadoop
- Oracle R對大數據的支持
- 分析和可視化大數據
- Oracle商業智能基礎套件
- OLAP分析
- 移動商業智能
- Oracle大數據輕量級虛擬機
- 管理Oracle大數據設備
- 使用Oracle企業管理器監控多個集群
- 使用Cloudera Manager管理操作
- 使用Hadoop監控工具
- 使用Cloudera Hue與Hadoop互動
- 停止和啟動Oracle大數據設備
- 管理Oracle大數據SQL
- Oracle大數據設備的安全性
- 審計Oracle大數據設備
- Oracle大數據SQL
- 在Hadoop上的SQL
- Hadoop的智能掃描
- Oracle SQL開發人員和數據建模師對Oracle大數據SQL的支持
- 使用Oracle大數據SQL進行數據訪問
- 安裝Oracle大數據SQL
- 創建用於訪問大數據的外部表
- 關於數據類型轉換
- 查詢外部表
- 關於Oracle大數據SQL在Oracle Exadata數據庫機器上的使用
- Hive用戶定義函數(UDF)
- Oracle NoSQL