Building Big Data Applications

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  • Publisher : Academic Press
  • Release : 15 November 2019
  • ISBN : 9780128158043
  • Page : 242 pages
  • Rating : 4.5/5 from 103 voters

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Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

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Building Big Data Applications

Building Big Data Applications
  • Author : Krish Krishnan
  • Publisher : Academic Press
  • Release Date : 2019-11-15
  • ISBN : 9780128158043
GET THIS BOOKBuilding Big Data Applications

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data

Designing Data-Intensive Applications

Designing Data-Intensive Applications
  • Author : Martin Kleppmann
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-03-16
  • ISBN : 9781491903100
GET THIS BOOKDesigning Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape

Big Data Architect’s Handbook

Big Data Architect’s Handbook
  • Author : Syed Muhammad Fahad Akhtar
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-06-21
  • ISBN : 9781788836388
GET THIS BOOKBig Data Architect’s Handbook

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book Description The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not

Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud
  • Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
  • Publisher : Morgan Kaufmann
  • Release Date : 2017-06-12
  • ISBN : 9780128093382
GET THIS BOOKSoftware Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied

Building Machine Learning Powered Applications

Building Machine Learning Powered Applications
  • Author : Emmanuel Ameisen
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2020-01-21
  • ISBN : 9781492045069
GET THIS BOOKBuilding Machine Learning Powered Applications

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
  • Author : Federico Divina,Francisco A. Gómez Vela ,Miguel García-Torres
  • Publisher : MDPI
  • Release Date : 2021-08-30
  • ISBN : 9783036508627
GET THIS BOOKAdvanced Optimization Methods and Big Data Applications in Energy Demand Forecast

The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up

Agile Data Science

Agile Data Science
  • Author : Russell Jurney
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-10-15
  • ISBN : 9781449326920
GET THIS BOOKAgile Data Science

Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative

Big Data Bootcamp

Big Data Bootcamp
  • Author : David Feinleib
  • Publisher : Apress
  • Release Date : 2014-09-26
  • ISBN : 9781484200407
GET THIS BOOKBig Data Bootcamp

Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds the keys to delivering better customer service, offering more attractive products, and unlocking innovation. That’s why, to remain competitive, every

Agile Data Science 2.0

Agile Data Science 2.0
  • Author : Russell Jurney
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-06-07
  • ISBN : 9781491960066
GET THIS BOOKAgile Data Science 2.0

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with

Big Data Analytics

Big Data Analytics
  • Author : Frank Ohlhorst
  • Publisher : John Wiley & Sons
  • Release Date : 2012-11-28
  • ISBN : 9781118147597
GET THIS BOOKBig Data Analytics

Takes an in-depth look at the financial value of big data analytics and offers tools and best practices for working with big data. Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries.

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka
  • Author : Manish Kumar,Chanchal Singh
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-08-18
  • ISBN : 9781787287631
GET THIS BOOKBuilding Data Streaming Applications with Apache Kafka

Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use

Technologies and Applications for Big Data Value

Technologies and Applications for Big Data Value
  • Author : Edward Curry
  • Publisher : Springer Nature
  • Release Date : 2022-06-30
  • ISBN : 9783030783075
GET THIS BOOKTechnologies and Applications for Big Data Value

Big Data Revolution

Big Data Revolution
  • Author : Rob Thomas,Patrick McSharry
  • Publisher : John Wiley & Sons
  • Release Date : 2015-01-05
  • ISBN : 9781118943731
GET THIS BOOKBig Data Revolution

Exploit the power and potential of Big Data to revolutionizebusiness outcomes Big Data Revolution is a guide to improving performance,making better decisions, and transforming business through theeffective use of Big Data. In this collaborative work by an IBMVice President of Big Data Products and an Oxford Research Fellow,this book presents inside stories that demonstrate the power andpotential of Big Data within the business realm. Readers are guidedthrough tried-and-true methodologies for getting more out of data,and using it

The Enterprise Big Data Lake

The Enterprise Big Data Lake
  • Author : Alex Gorelik
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2019-02-21
  • ISBN : 9781491931509
GET THIS BOOKThe Enterprise Big Data Lake

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the

Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment

Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment
  • Author : Jean-Michel Bruel,Manuel Mazzara,Bertrand Meyer
  • Publisher : Springer Nature
  • Release Date : 2020-01-18
  • ISBN : 9783030393069
GET THIS BOOKSoftware Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment

This book constitutes revised selected papers of the Second International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, DEVOPS 2019, held at the Château de Villebrumier, France, in May 2019. The 15 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover a wide range of problems arising from DevOps and related approaches: current tools, rapid development-deployment processes, modeling frameworks, anomaly detection in software releases, DevDataOps, microservices, and related topics.