Building 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 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

Produk Detail:

  • Author : Krish Krishnan
  • Publisher : Academic Press
  • Pages : 242 pages
  • ISBN : 0128158042
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBuilding Big Data Applications

Building Big Data Applications

Building Big Data Applications
  • Author : Krish Krishnan
  • Publisher : Academic Press
  • Release : 15 November 2019
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

Big Data Application in Power Systems

Big Data Application in Power Systems
  • Author : Reza Arghandeh,Yuxun Zhou
  • Publisher : Elsevier
  • Release : 27 November 2017
GET THIS BOOKBig Data Application in Power Systems

Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous

Designing Data-Intensive Applications

Designing Data-Intensive Applications
  • Author : Martin Kleppmann
  • Publisher : "O'Reilly Media, Inc."
  • Release : 16 March 2017
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 Analytics

Big Data Analytics
  • Author : Venkat Ankam
  • Publisher : Packt Publishing Ltd
  • Release : 28 September 2016
GET THIS BOOKBig 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 About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as

Big Data Architect’s Handbook

Big Data Architect’s Handbook
  • Author : Syed Muhammad Fahad Akhtar
  • Publisher : Packt Publishing Ltd
  • Release : 21 June 2018
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 : 12 June 2017
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 : 21 January 2020
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

Learning Path

Learning Path
  • Author : Marie Beaugureau
  • Publisher : Unknown Publisher
  • Release : 24 July 2021
GET THIS BOOKLearning Path

With datasets growing increasingly large, the need for custom data solutions has soared as well. This Learning Path will take you through the entire process of designing and building data applications that can visualize, navigate, and interpret reams of data. Get a thorough introduction to the most important tools in the big data ecosystem.

Big Data Bootcamp

Big Data Bootcamp
  • Author : David Feinleib
  • Publisher : Apress
  • Release : 26 September 2014
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

Big Data Analytics with Spark and Hadoop

Big Data Analytics with Spark and Hadoop
  • Author : Venkat Ankam
  • Publisher : Unknown Publisher
  • Release : 26 August 2016
GET THIS BOOKBig Data Analytics with Spark and Hadoop

A handy reference guide for data analysts and data scientists to fetch "Value" out of big data analytics using Spark on Hadoop ClustersAbout This Book* Practical tutorial with real-world examples that explores Spark on Hadoop clusters* This book is based on the latest version of Apache Spark and Hadoop integrated with the most commonly used tools* Learn about all the Spark stack components including the latest topics such as DataFrames, DataSets, and SparkRWho This Book Is ForThough this book is

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka
  • Author : Manish Kumar,Chanchal Singh
  • Publisher : Packt Publishing Ltd
  • Release : 18 August 2017
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

Beginning Apache Spark 2

Beginning Apache Spark 2
  • Author : Hien Luu
  • Publisher : Apress
  • Release : 16 August 2018
GET THIS BOOKBeginning Apache Spark 2

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you’ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you’ll learn

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 : 18 January 2020
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.

Building Big Data and Analytics Solutions in the Cloud

Building Big Data and Analytics Solutions in the Cloud
  • Author : Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release : 08 December 2014
GET THIS BOOKBuilding Big Data and Analytics Solutions in the Cloud

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about