Oblasti, naše knjige

Java, JavaScript, JScript, Perl

C++ Visual C++ C#

Apple - MAC OS X

Visual Basic .NET, VBA, V. Studio

Web design

Android

PHP I MYSQL

Python programiranje

WordPress

AutoCad, ArchiCAD, SolidWorks, Catia, Pro/Engineer

Mašinsko učenje

Access

Animacija

Audio, Multimedia, Video

Baze podataka

Cloud

CSS

Delphi

Digitalna fotografija

Django

E-komerc

ECDL

GOOGLE

Grafika, Dizajn, Štampa

Hardver

Internet

Joomla

jQuery

Mreže

MS Office

Obrada teksta

OFFICE 2013

Programiranje

Raspberry PI

Rečnici

Robotika

Sertifikati

SQL Server

Statistika

Tabele

Telekomunikacije

Unix, Linux

Windows

Windows 7

Windows 8

Zaštita i sigurnost

 

Oblasti, drugi izdavači

Alternativna učenja

Antropologija

Arheologija

Arhitektura

Astrologija

Astronomija

Audio kursevi + knjige

Autobiografija

Automobili

Bajke

Biografija

Biološke nauke

Botanika

Dečije knjige

Dizajn

Domaće pripovetke

Domaći roman

Drama

E-knjiga

Ekologija

Ekonomija

Elektrotehnika

Enciklopedija

Esejistika

Etika

Fantastika

Film

Filologija

Filozofija

Fizika

Fotografija

Geografija

Geologija

Građevinarstvo

Hemija

Hidrotehnika

Hobi

Horor

Humor

Intervju

Istorija

Istorija i teorija književnosti

Istorija umetnosti

Istorijski roman

Knjiga posle posla - Beletristika i ostala izdanja

Knjižare i naše knjige

Književna kritika

Kuvari, hrana i piće

Leksikografija

Lingvistika

Ljubavni roman

logo

Magija

Marketing

Mašinstvo

Matematika

Medicina

Memoari

Menadžment

Modeliranje podataka

Monografija

Muzika

Nagrađivanje knjige

Naučna fantastika

OpenOffice.org

Operativni sistemi

Oracle

Organizacione nauke

Pedagogija

Pisci u medijima

Ples

Poezija

Politika

Poljoprivreda

Popularna medicina

Popularna nauka

Popularna psihologija

Posao

Pozorište

Pravo

Pravoslavlje

Primenjene nauke

Pripovetke

Prirodne nauke

Priručnik

Psihologija

Publicistika

Putopis

Religija

Roman

Satira

Saveti

Slikarstvo

Socijalna mreža - Facebook

Sociologija

Sport

Sport i hobi

Strip

Tableti

Tehnologija

Triler

Turizam

Twitter

Udžbenici

Umetnost

Urbanizam

UX DIZAJN

 

Mašinsko učenje

 

Real-Time Big Data Analytics

 

Real-Time Big Data Analytics

Autor: Sumit Gupta, Shilpi
Broj strana: 326
ISBN broj: 9781784391409
Izdavač: PACKT PUBLISHING
Godina izdanja: 2016.

Pregleda (30 dana / ukupno): 25 / 570

Predlog za prevod

  • Twitter
  • Facebook
  • Google plus
  • Linkedin
  • Pinterest
  • Email

 

 

What You Will Learn

  • Explore big data technologies and frameworks
  • Work through practical challenges and use cases of real-time analytics versus batch analytics
  • Develop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm
  • Handle and process real-time transactional data
  • Optimize and tune Apache Storm for varied workloads and production deployments
  • Process and stream data with Amazon Kinesis and Elastic MapReduce
  • Perform interactive and exploratory data analytics using Spark SQL
  • Develop common enterprise architectures/applications for real-time and batch analytics

Book Description

Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.

Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases.

From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm.

Moving on, we’ll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program.

You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark.

At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data.

Authors

Sumit Gupta

Sumit Gupta is a seasoned professional, innovator, and technology evangelist with over 100 man months of experience in architecting, managing, and delivering enterprise solutions revolving around a variety of business domains, such as hospitality, healthcare, risk management, insurance, and so on. He is passionate about technology and overall he has 15 years of hands-on experience in the software industry and has been using Big Data and cloud technologies over the past 4 to 5 years to solve complex business problems.

Sumit has also authored Neo4j Essentials (https://www.packtpub.com/big-data-and-business-intelligence/neo4j-essentials), Building Web Applications with Python and Neo4j (https://www.packtpub.com/application-development/building-web-applications-python-and-neo4j), and Learning Real-time Processing with Spark Streaming (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-processing-spark-streaming), all with Packt Publishing.

Shilpi

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers.

Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS.

Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

Table of Contents

Chapter 1: Introducing the Big Data Technology Landscape and Analytics Platform
Chapter 2: Getting Acquainted with Storm
Chapter 3: Processing Data with Storm
Chapter 4: Introduction to Trident and Optimizing Storm Performance
Chapter 5: Getting Acquainted with Kinesis
Chapter 6: Getting Acquainted with Spark
Chapter 7: Programming with RDDs
Chapter 8: SQL Query Engine for Spark – Spark SQL
Chapter 9: Analysis of Streaming Data Using Spark Streaming
Chapter 10: Introducing Lambda Architecture

 

Budite prvi koji će ostaviti komentar.

Ostavite komentar Ostavite komentar

 

Preporučujemo

 

Python Machine Learning

1. Python Machine Learning

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

Predlog za prevod

Više o knjizi Više o knjizi

 

Machine Learning in Java

2. Machine Learning in Java

If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary.

Predlog za prevod

Više o knjizi Više o knjizi

 

Big Data Analytics

3. Big Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters

Predlog za prevod

Više o knjizi Više o knjizi