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عنوان
Modern Big Data Processing with Hadoop :

پدید آورنده
V Naresh Kumar, Prashant Shindgikar.

موضوع
Apache Hadoop.,Apache Hadoop.,Electronic data processing-- Distributed processing.,COMPUTERS-- Computer Literacy.,COMPUTERS-- Computer Science.,Computers-- Data Modeling & Design.,Computers-- Data Processing.,Computers-- Database Management-- Data Mining.,COMPUTERS-- Hardware-- General.,COMPUTERS-- Information Technology.,COMPUTERS-- Machine Theory.,COMPUTERS-- Reference.,Data capture & analysis.,Data mining.,Database design & theory.,Electronic data processing-- Distributed processing.,Information architecture.

رده
QA76
.
9
.
D5
.
K863
2018eb

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
178712276X
(Number (ISBN
1787128814
(Number (ISBN
9781787122765
(Number (ISBN
9781787128811
Erroneous ISBN
178712276X
Erroneous ISBN
9781787122765

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Modern Big Data Processing with Hadoop :
General Material Designation
[Book]
Other Title Information
Expert techniques for architecting end-to-end big data solutions to get valuable insights /
First Statement of Responsibility
V Naresh Kumar, Prashant Shindgikar.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Birmingham :
Name of Publisher, Distributor, etc.
Packt Publishing,
Date of Publication, Distribution, etc.
2018.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (394 pages)

GENERAL NOTES

Text of Note
Table of ContentsHadoop Design Consideration Hadoop Life Cycle ManagementData Modeling in HadoopDesigning Streaming Data PipelinesBuilding Enterprise Search Platform Data Movement TechniquesEnterprise Data Architecture PrinciplesArchitecting Large Scale Data Processing Solutions using Spark Developing Application using Cloud InfrastructureDesigning Data Visualization Solutions Production Hadoop Administration and Cluster Deployment.

CONTENTS NOTE

Text of Note
Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Enterprise Data Architecture Principles; Data architecture principles; Volume; Velocity; Variety; Veracity; The importance of metadata; Data governance; Fundamentals of data governance; Data security; Application security; Input data; Big data security; RDBMS security; BI security; Physical security; Data encryption; Secure key management; Data as a Service; Evolution data architecture with Hadoop; Hierarchical database architecture; Network database architecture.
Text of Note
Add serviceService placement; Service client placement; Database creation on master; Ranger database configuration; Configuration changes; Configuration review; Deployment progress; Application restart; Apache Ranger user guide; Login to UI; Access manager; Service details; Policy definition and auditing for HDFS; Summary; Chapter 3: Hadoop Design Consideration; Understanding data structure principles; Installing Hadoop cluster; Configuring Hadoop on NameNode; Format NameNode; Start all services; Exploring HDFS architecture; Defining NameNode; Secondary NameNode; NameNode safe mode; DataNode.
Text of Note
Best practices Hadoop deploymentHadoop file formats; Text/CSV file; JSON; Sequence file; Avro; Parquet; ORC; Which file format is better?; Summary; Chapter 4: Data Movement Techniques; Batch processing versus real-time processing; Batch processing; Real-time processing; Apache Sqoop; Sqoop Import; Import into HDFS; Import a MySQL table into an HBase table; Sqoop export; Flume; Apache Flume architecture; Data flow using Flume; Flume complex data flow architecture; Flume setup; Log aggregation use case; Apache NiFi; Main concepts of Apache NiFi; Apache NiFi architecture; Key features.
Text of Note
Data replicationRack awareness; HDFS WebUI; Introducing YARN; YARN architecture; Resource manager; Node manager; Configuration of YARN; Configuring HDFS high availability; During Hadoop 1.x; During Hadoop 2.x and onwards; HDFS HA cluster using NFS; Important architecture points; Configuration of HA NameNodes with shared storage; HDFS HA cluster using the quorum journal manager; Important architecture points; Configuration of HA NameNodes with QJM; Automatic failover; Important architecture points; Configuring automatic failover; Hadoop cluster composition; Typical Hadoop cluster.
Text of Note
Relational database architectureEmployees; Devices; Department; Department and employee mapping table; Hadoop data architecture; Data layer; Data management layer; Job execution layer; Summary; Chapter 2: Hadoop Life Cycle Management; Data wrangling; Data acquisition; Data structure analysis; Information extraction; Unwanted data removal; Data transformation; Data standardization; Data masking; Substitution; Static ; Dynamic; Encryption; Hashing; Hiding; Erasing; Truncation; Variance; Shuffling; Data security; What is Apache Ranger?; Apache Ranger installation using Ambari; Ambari admin UI.
0
8
8
8
8

SUMMARY OR ABSTRACT

Text of Note
This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Packt Publishing
Source for Acquisition/Subscription Address
OverDrive, Inc.
Stock Number
9781787128811
Stock Number
D508DE65-BBBA-46CD-928A-49C8DFBFE6AC

OTHER EDITION IN ANOTHER MEDIUM

Title
Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end big data solutions to get valuable insights.

TITLE USED AS SUBJECT

Apache Hadoop.
Apache Hadoop.

TOPICAL NAME USED AS SUBJECT

Electronic data processing-- Distributed processing.
COMPUTERS-- Computer Literacy.
COMPUTERS-- Computer Science.
Computers-- Data Modeling & Design.
Computers-- Data Processing.
Computers-- Database Management-- Data Mining.
COMPUTERS-- Hardware-- General.
COMPUTERS-- Information Technology.
COMPUTERS-- Machine Theory.
COMPUTERS-- Reference.
Data capture & analysis.
Data mining.
Database design & theory.
Electronic data processing-- Distributed processing.
Information architecture.

(SUBJECT CATEGORY (Provisional

COM-- 013000
COM-- 014000
COM-- 018000
COM-- 032000
COM-- 037000
COM-- 052000
COM-- 067000

DEWEY DECIMAL CLASSIFICATION

Number
004
.
36
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
D5
Book number
.
K863
2018eb

PERSONAL NAME - PRIMARY RESPONSIBILITY

Kumar, V. Naresh

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Shindgikar, Prashant

ORIGINATING SOURCE

Date of Transaction
20200823055539.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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