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 : 300 pages
  • ISBN : 9780128157466
  • 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

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 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

Big Data Applications in Industry 4.0

Big Data Applications in Industry 4.0
  • Author : P. Kaliraj,T. Devi
  • Publisher : CRC Press
  • Release : 10 February 2022
GET THIS BOOKBig Data Applications in Industry 4.0

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential

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 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

Cyber Intelligence and Information Retrieval

Cyber Intelligence and Information Retrieval
  • Author : João Manuel R. S. Tavares,Paramartha Dutta,Soumi Dutta,Debabrata Samanta
  • Publisher : Springer Nature
  • Release : 30 October 2021
GET THIS BOOKCyber Intelligence and Information Retrieval

This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining

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

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

Learn Python by Building Data Science Applications

Learn Python by Building Data Science Applications
  • Author : Philipp Kats,David Katz
  • Publisher : Packt Publishing Ltd
  • Release : 30 August 2019
GET THIS BOOKLearn Python by Building Data Science Applications

Understand the constructs of the Python programming language and use them to build data science projects Key Features Learn the basics of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using data structures, variables, and loops Delve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in Python Book Description Python is the most widely used programming language for building data science applications. Complete

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 : 30 August 2021
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

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 Data Science Applications with FastAPI

Building Data Science Applications with FastAPI
  • Author : Francois Voron
  • Publisher : Packt Publishing Ltd
  • Release : 08 October 2021
GET THIS BOOKBuilding Data Science Applications with FastAPI

Get well-versed with FastAPI features and best practices for testing, monitoring, and deployment to run high-quality and robust data science applications Key FeaturesCover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injectionDevelop efficient RESTful APIs for data science with modern PythonBuild, test, and deploy high performing data science and machine learning systems with FastAPIBook Description FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard

Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing
  • Author : Valentina Janev
  • Publisher : Springer Nature
  • Release : 01 January 2020
GET THIS BOOKKnowledge Graphs and Big Data Processing

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of