Big data
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The concept Big data represents the subject, aboutness, idea or notion of resources found in Sydney Jones Library, University of Liverpool.
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Big data
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The concept Big data represents the subject, aboutness, idea or notion of resources found in Sydney Jones Library, University of Liverpool.
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- 12 trendu v ceské softwarové ekonomice : technologické, ekonomické, sociální a etické aspekty ICT
- A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
- A practical guide to analytics for governments : using big data for good
- AI and big data in drug discovery
- AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots
- Actionable intelligence : a guide to delivering business results with big data fast!
- Actionable intelligence : a guide to delivering business results with big data fast!
- Adaptive Mobile Computing
- Adaptive mobile computing : advances in processing mobile data sets
- Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing
- Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples
- Advanced Splunk : master the art of getting the maximum out of your machine data using Splunk
- Advanced analytics with Spark
- Advanced data analytics in health
- Advances in computer communications and networks from green, mobile, pervasive networking to big data computing
- Advances in information systems set, Volume 1, From big data to smart data
- Advances in mobile cloud computing and big data in the 5G era
- Advances in systematic creativity : creating and managing innovations
- Agile Machine Learning : Effective Machine Learning Inspired by the Agile Manifesto
- An Introduction to Machine Learning
- An architecture for fast and general data processing on large clusters
- An introduction to data : everything you need to know about AI, big data and data science
- Analysis of large and complex data
- Analysis of multivariate and high-dimensional data
- Analytics and data science : advances in research and pedagogy
- Analytics and dynamic customer strategy : big profits from big data
- Analytics and dynamic customer strategy : big profits from big data
- Analytics for insurance : the real business of big data
- Analytics in a big data world : the essential guide to data science and its applications
- Analytics in a big data world : the essential guide to data science and its applications
- Apache Spark for data science cookbook : overinsightful 90 recipes to get lightning-fast analytics with Apache Spark
- Apache Spark machine learning blueprints : develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
- Apache spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
- Application of big data for national security : a practitioner's guide to emerging technologies
- Applications of big data analytics : trends, issues and challenges
- Applied Analytics through Case Studies Using SAS and R : Implementing Predictive Models and Machine Learning Techniques
- Applied Data Science Using PySpark : Learn the End-to-End Predictive Model-Building Cycle
- Applied Deep Learning : A Case-Based Approach to Understanding Deep Neural Networks
- Applied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
- Applied data analytics : principles and applications
- Applied data analytics : principles and applications
- Applied insurance analytics : a framework for driving more value from data assets, technologies, and tools
- Architecting HBase applications : a guidebook for successful development and design
- Artificial Intelligence Basics : A Non-Technical Introduction
- Artificial Intelligence for Big Data : complete guide to automating Big Data solutions using Artificial Intelligence techniques
- Artificial Intelligence for Fashion : How AI is Revolutionizing the Fashion Industry
- Artificial Intelligence for Fashion Industry in the Big Data Era
- Artificial intelligence for fashion : how AI is revolutionizing the fashion industry
- Assessing and Improving Prediction and Classification : Theory and Algorithms in C++
- Azure IoT development cookbook : develop and manage robust IoT solutions
- B4B : how technology and big data are reinventing the customer-supplier relationship
- BIM and big data for construction cost management
- Beautiful data : a history of vision and reason since 1945
- Beginning Apache Pig : Big Data processing made easy
- Beginning Apache Spark 2 : With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
- Beginning Apache Spark Using Azure Databricks : Unleashing Large Cluster Analytics in the Cloud
- Beginning Azure Cognitive Services : Data-Driven Decision Making Through Artificial Intelligence
- Beginning Azure Synapse Analytics : Transition from Data Warehouse to Data Lakehouse
- Beginning Blockchain : A Beginner's Guide to Building Blockchain Solutions
- Beginning DAX with Power BI : The SQL Proђ́ةs Guide to Better Business Intelligence
- Beginning Data Science in R : Data Analysis, Visualization, and Modelling for the Data Scientist
- Beginning Julia Programming : For Engineers and Scientists
- Beginning Microsoft Power BI : A Practical Guide to Self-Service Data Analytics
- Beginning big data with Power BI and Excel 2013
- Behavior Engineering and Applications
- Berechenbarkeit der Welt? : Philosophie und Wissenschaft im Zeitalter von Big Data
- Beyond big data : using social MDM to drive deep customer insight
- Big Data Analytics : Proceedings of CSI 2015
- Big Data Analytics Using Splunk : Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
- Big Data Analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data
- Big Data Analytics with Spark : A Practitioner's Guide to Using Spark for Large Scale Data Analysis
- Big Data Application Architecture Q&A : A Problem - Solution Approach
- Big Data Factories : Collaborative Approaches
- Big Data Imperatives : Enterprise Big Data Warehouse, BI Implementations and Analytics
- Big Data Made Easy : A Working Guide to the Complete Hadoop Toolset
- Big Data SMACK : A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
- Big Data and The Internet of Things : Enterprise Information Architecture for A New Age
- Big Data für Entscheider : Entwicklung und Umsetzung datengetriebener Geschäftsmodelle
- Big Data im Gesundheitswesen kompakt : Konzepte, Lösungen, Visionen
- Big Data und Gesellschaft : eine multidisziplinäre Annäherung
- Big Data-driven World : Legislation Issues and Control Technologies
- Big and complex data analysis : methodologies and applications
- Big data
- Big data 2.0 processing systems : a survey
- Big data : a very short introduction
- Big data : algorithms, analytics, and applications
- Big data : algorithms, analytics, and applications
- Big data : concepts, warehousing, and analytics
- Big data : opportunities and challenges
- Big data : principles and best practices of scalable real-time data systems
- Big data : principles and best practices of scalable real-time data systems
- Big data : principles and paradigms
- Big data : promise, application and pitfalls
- Big data : related technologies, challenges and future prospects
- Big data : storage, sharing and security
- Big data : storage, sharing, and security
- Big data : storage, sharing, and security
- Big data : techniques and technologies in geoinformatics
- Big data : understanding how data powers big business
- Big data : using smart big data, analytics and metrics to make better decisions and improve performance
- Big data : using smart big data, analytics and metrics to make better decisions and improve performance
- Big data : using smart big data, analytics and metrics to make better decisions and improve performance
- Big data @ work : dispelling the myths, uncovering the opportunities
- Big data MBA : driving business strategies with data science
- Big data SMACK : a guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
- Big data analysis : new algorithms for a new society
- Big data analysis for bioinformatics and biomedical discoveries
- Big data analytics : a management perspective
- Big data analytics : a practical guide for managers
- Big data analytics : a practical guide for managers
- Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
- Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
- Big data analytics : methods and applications
- Big data analytics beyond Hadoop : real-time applications with storm, spark, and more Hadoop alternatives
- Big data analytics for Internet of things
- Big data analytics for connected vehicles and smart cities
- Big data analytics for intelligent healthcare management
- Big data analytics for large-scale multimedia search
- Big data analytics for sensor-network collected intelligence
- Big data analytics in genomics
- Big data analytics strategies for the smart grid
- Big data analytics using Splunk
- Big data analytics with R and Hadoop
- Big data analytics with Spark : a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing
- Big data analytics with applications in insider threat detection
- Big data analytics, dynamic capabilities and firm performance
- Big data and analytics : strategic and organizational impacts
- Big data and differential privacy : analysis strategies for railway track engineering
- Big data and global trade law
- Big data and internet of things : a roadmap for smart environments
- Big data and learning analytics in higher education : current theory and practice
- Big data and machine learning in quantitative investment
- Big data and machine learning in quantitative investment
- Big data and smart service systems
- Big data and smart service systems
- Big data and smart service systems
- Big data and visual analytics
- Big data application architecture Q & A : a problem-solution approach
- Big data application in power systems
- Big data applications and use cases
- Big data applications in geography and planning : an essential companion
- Big data bootcamp : what managers need to know to profit from the big data revolution
- Big data bootcamp : what managers need to know to profit from the big data revolution
- Big data computing
- Big data concepts, theories, and applications
- Big data for chimps
- Big data for dummies
- Big data for insurance companies
- Big data for regional science
- Big data for remote sensing : visualization, analysis and interpretation : digital Earth and smart Earth
- Big data for urban sustainability : a human-centered perspective
- Big data fundamentals : concepts, drivers & techniques
- Big data fundamentals : concepts, drivers, and techniques
- Big data imperatives : enterprise big data warehouse, BI implementations and analytics
- Big data in complex systems : challenges and opportunities
- Big data in context : legal, social and technological insights
- Big data in education : the digital future of learning, policy and practice
- Big data in engineering applications
- Big data in healthcare : extracting knowledge from point-of-care machines
- Big data in organizations and the role of human resource management : a complex systems theory-based conceptualization
- Big data in practice : how 45 successful companies used big data analytics to deliver extraordinary
- Big data in the enterprise : an introduction
- Big data integration
- Big data integration theory : theory and methods of database mappings, programming languages, and semantics
- Big data is not a monolith
- Big data management, technologies, and applications
- Big data management, technologies, and applications
- Big data meets survey science : a collection of innovative methods
- Big data optimization : recent developments and challenges
- Big data over networks
- Big data processing using Spark in cloud
- Big data revolution : what farmers, doctors and insurance agents teach us about discovering big data patterns
- Big data science in finance
- Big data shocks : an introduction to big data for librarians and information professionals
- Big data support of urban planning and management : the experience in China
- Big data technologies and applications
- Big data visualization : learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization
- Big data war : how to survive global big data competition
- Big data war : how to survive global big data competition
- Big data, big innovation : enabling competitive differentiation through business analytics
- Big data, big innovation : enabling competitive differentiation through business analytics
- Big data, data mining and machine learning : value creation for business leaders and practitioners
- Big data, data mining, and machine learning : value creation for business leaders and practitioners
- Big data, data mining, and machine learning : value creation for business leaders and practitioners
- Big data, health law, and bioethics
- Big data, mining, and analytics : components of strategic decision making
- Big data, mining, and analytics : components of strategic decision making
- Big data, open data and data development
- Big data-enabled nursing : education, research and practice
- Big data? : qualitative approaches to digital research
- Big digital forensic data, Volume 1, Data reduction framework and selective imaging
- Big digital humanities : imagining a meeting place for the humanities and the digital
- Big social mobile : how digital initiatives can reshape the enterprise and drive business results
- Big social mobile : how digital initiatives can reshape the enterprise and drive business results
- Big visual data analysis : scene classification and geometric labeling
- Big-data analytics and cloud computing : theory, algorithms and applications
- Bioinformatics data skills
- Biometric security and privacy : opportunities & challenges in the big data era
- Building Intelligent Systems : A Guide to Machine Learning Engineering
- Building Machine Learning and Deep Learning Models on Google Cloud Platform : A Comprehensive Guide for Beginners
- Building Scalable PHP Web Applications Using the Cloud : A Simple Guide to Programming and Administering Cloud-Based Applications
- Business Analytics Using R - A Practical Approach
- Business Case Analysis with R : Simulation Tutorials to Support Complex Business Decisions
- Business Information Systems : 19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016, Proceedings
- Business Information Systems : 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings
- Business Intelligence : 5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015, Tutorial Lectures
- Business Intelligence : 6th European Summer School, eBISS 2016, Tours, France, July 3-8, 2016, Tutorial Lectures
- Business Intelligence Tools for Small Companies : A Guide to Free and Low-Cost Solutions
- Business analytics : an introduction
- Business intelligence strategy and big data analytics : a general management perspective
- Business intelligence strategy and big data analytics : a general management perspective
- CABology : value of cloud, analytics and big data trio wave
- COMPUTING WITH DATA : an introduction to the data industry
- Cloud computing and big data
- Cloud computing and big data : technologies, applications and security
- Cloud networking for big data
- Clustering methods for big data analytics : techniques, toolboxes and applications
- Codeless Data Structures and Algorithms : Learn DSA Without Writing a Single Line of Code
- Cognitive computing and big data analytics
- Cognitive computing for big data systems over IoT : frameworks, tools and applications
- Cognitive networked sensing and big data
- Community search over big graphs
- Complete Guide to Open Source Big Data Stack
- Complete guide to open source big data stack
- Compromised data : from social media to big data
- Computational and statistical methods for analysing big data with applications
- Computational intelligence and big data analytics : applications in bioinformatics
- Computational intelligence for multimedia big data on the cloud with engineering applications
- Computational red teaming : risk analytics of big-data-to-decisions intelligent systems
- Consumer data research
- Coronavirus news, markets and AI : the COVID-19 diaries
- Creating Good Data : A Guide to Dataset Structure and Data Representation
- Creating value with big data analytics : making smarter marketing decisions
- DB2 10.5 with BLU Acceleration : new dynamic in-memory analytics for the era of big data
- Data Analysis and Visualization Using Python : Analyze Data to Create Visualizations for BI Systems
- Data Lake Analytics on Microsoft Azure : A Practitioner's Guide to Big Data Engineering
- Data Mining Algorithms in C++ : Data Patterns and Algorithms for Modern Applications
- Data Professionals at Work
- Data Science -- was ist das eigentlich?! : Algorithmen des maschinellen Lernens verständlich erklärt
- Data Science Fundamentals for Python and MongoDB
- Data Science and Digital Business
- Data Scientists at Work
- Data Teams : A Unified Management Model for Successful Data-Focused Teams
- Data analytics and big data
- Data architecture : a primer for the data scientist : big data, data warehouse and data vault
- Data crush : how the information tidal wave is driving new business opportunities
- Data crush : how the information tidal wave is driving new business opportunities
- Data divination : big data strategies
- Data driven : how performance analytics delivers extraordinary sales results
- Data driven : how performance analytics delivers extraordinary sales results
- Data intensive computing applications for big data
- Data just right : introduction to large-scale data & analytics
- Data modelling and management for big data
- Data pipelines with Apache Airflow
- Data profiling and insurance law
- Data profiling and insurance law
- Data science & big data analytics : discovering, analyzing, visualizing and presenting data
- Data science & big data analytics : discovering, analyzing, visualizing and presenting data
- Data science : create teams that ask the right questions and deliver real value
- Data science and big data : an environment of computational intelligence
- Data science and big data computing : frameworks and methodologies
- Data science and predictive analytics : biomedical and health applications using R
- Data science in practice
- Data science in the library : tools and strategies for supporting data-driven research and instruction
- Data science landscape : towards research standards and protocols
- Data science thinking : the next scientific, technological and economic revolution
- Data versus Democracy : How Big Data Algorithms Shape Opinions and Alter the Course of History
- Data warehousing in the age of big data
- Data-driven law : data analytics and the new legal services
- Data-driven personalisation in markets, politics and law
- Data-intensive systems : principles and fundamentals using Hadoop and Spark
- Dataclysm : who we are when we think no one's looking
- Decision analytics : Microsoft Excel
- Deep Belief Nets in C++ and CUDA C: Volume 1 : Restricted Boltzmann Machines and Supervised Feedforward Networks
- Deep Belief Nets in C++ and CUDA C: Volume 2 : Autoencoding in the Complex Domain
- Deep Belief Nets in C++ and CUDA C: Volume 3 : Convolutional Nets
- Deep Learning : convergence to big data analytics
- Deep Learning with Applications Using Python : Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
- Descriptive data mining
- Designing software architectures : a practical approach
- Developing analytic talent : becoming a data scientist
- Developing analytic talent : becoming a data scientist
- Digital enlightenment yearbook., 2014, Social networks and social machines, surveillance and empowerment
- Digital exhaust : what everyone should know about big data, digitization and digitally driven innovation
- Digitalisierung im Controlling
- Distributed computing in big data analytics : concepts, technologies and applications
- Docker for Data Science : Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
- Docker for data science : building scalable and extensible data infrastructure around the Jupyter Notebook Server
- Does big data mean big knowledge? KM management perspectives on big data and analytics
- Doing data science
- Doing data science
- Doing data science
- Domain-Specific Languages in R : Advanced Statistical Programming
- E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life : 15th Workshop on e-Business, WEB 2015, Fort Worth, Texas, USA, December 12, 2015, Revised Selected Papers
- Efficient processing of deep neural networks
- Emerging big data in medicinal chemistry : promiscuity analysis as an example
- Emerging technology and architecture for big-data analytics
- Empower Decision Makers with SAP Analytics Cloud : Modernize BI with SAP's Single Platform for Analytics
- Energy and analytics : BIG DATA and building technology integration
- Engaging customers using big data : how marketing analytics are transforming business
- Engineering agile big-data systems
- Enterprise Applications, Markets and Services in the Finance Industry : 8th International Workshop, FinanceCom 2016, Frankfurt, Germany, December 8, 2016, Revised Papers
- Enterprise Applications, Markets and Services in the Finance Industry : 8th International Workshop, FinanceCom 2016, Frankfurt, Germany, December 8, 2016, Revised Papers
- Enterprise analytics : optimize performance, process, and decisions through big data
- Enterprise business intelligence and data warehousing : program management essentials
- Enterprise security landscape.
- Entity information life cycle for big data : master data management and information integration
- Entity information life cycle for big data : master data management and information integration
- Entity information life cycle for big data : master data management and information integration
- Expert Apache Cassandra Administration
- Exploring big historical data : the historian's macroscope
- Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems
- Flexible regression and smoothing : using GAMLSS in R
- Fog Computing, Deep Learning and Big Data Analytics-Research Directions
- Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark
- From big data to big profits : success with data and analytics
- From big data to smart data
- Fundamentals of big data : network analysis for research and industry
- Generalized principal component analysis
- Getting Structured Data from the Internet : Running Web Crawlers/Scrapers on a Big Data Production Scale
- Getting started with Greenplum for big data analytics
- Getting started with data science : making sense of data with analytics
- Getting started with impala : interactive SQL for Apache hadoop
- Google BigQuery : the definitive guide : data warehousing, analytics, and machine learning at Scale
- Google BigQuery analytics
- Google Data Studio for Beginners : Start Making Your Data Actionable
- Green information technology : a sustainable approach
- Guide to big data applications
- Hadoop 2 quick-start guide : learn the essential of big data computing in the Apache Hadoop 2 ecosystem
- Hadoop application architectures : designing real-world big data applications
- Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python
- Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals
- Harness oil and gas big data with analytics : optimize exploration and production with data driven models
- Harness oil and gas big data with analytics : optimize exploration and production with data driven models
- Haskell Quick Syntax Reference : A Pocket Guide to the Language, APIs, and Library
- Healthcare and big data : digital specters and phantom objects
- Heterogeneity, High Performance Computing, Self-Organization and the Cloud
- High-dimensional statistics : a non-asymptotic viewpoint
- High-performance big-data analytics : computing systems and approaches
- High-utility pattern mining : theory, algorithms and applications
- Highlighting the importance of big data management and analysis for various applications
- How to Compete in the Age of Artificial Intelligence : Implementing a Collaborative Human-Machine Strategy for Your Business
- INFORMS analytics body of knowledge
- INFORMS analytics body of knowledge
- Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor
- Information fusion and analytics for big data and IoT
- Information granularity, big data, and computational intelligence
- Information management : strategies for gaining a competitive advantage with data
- Information management strategies for gaining a competitive advantage with data
- Insiders' guide to technology-assisted review (TAR)
- Integrated business information systems : a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big data
- Intelligent methods and big data in industrial applications
- Intelligent techniques for data science
- Internet of things and big data analytics toward next-generation intelligence
- Internet of things and big data technologies for next generation healthcare
- Interview Questions in Business Analytics
- Introducing .NET for Apache Spark : Distributed Processing for Massive Datasets
- Introducing data science : big data, machine learning, and more, using Python tools
- Introducing the oscillations based paradigm : the simulation of agents and social systems
- Introduction to Apache Flink : stream processing for real time and beyond
- Introduction to Deep Learning Using R : A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R
- Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R
- Introduction to Google Analytics : A Guide for Absolute Beginners
- Introduction to high-dimensional statistics
- Inventing the Cloud Century : How Cloudiness Keeps Changing Our Life, Economy and Technology
- IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world
- It's all analytics! : the foundations of AI, big data, and data science landscape for professionals in healthcare, business, and government
- Keeping Your AI Under Control : A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks
- Knowledge computing and its applications : knowledge computing in specific domains, Volume II
- Knowledge computing and its applications : knowledge manipulation and processing techniques, Volume 1
- Kubernetes Microservices with Docker
- Large group decision making : creating decision support approaches at scale
- Large scale and big data : processing and management
- Large scale data analytics
- Leading with AI and analytics : building better data science IQ to drive business value
- Learn Data Analysis with Python : Lessons in Coding
- Learn Data Science Using SAS Studio : A Quick-Start Guide
- Learn PySpark : Build Python-based Machine Learning and Deep Learning Models
- Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics
- Learning PySpark : build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
- Learning Spark
- Learning big data with Amazon Elastic MapReduce : easily learn, build, and execute real-world big data solutions using Hadoop and AWS EMR
- Learning from data streams in evolving environments : methods and applications
- Learning from imbalanced data sets
- Learning to love data science : explorations of emerging technologies and platforms for predictive analytics, machine learning, digital manufacturing, and supply chain optimization
- Life and the law in the era of data-driven agency
- Linked data visualization : techniques, tools, and big data
- M-powering marketing in a mobile world
- MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence
- MATLAB Machine Learning Recipes : A Problem-Solution Approach
- Machine intelligence and big data in industry
- Machine learning and big data : concepts, algorithms, tools and applications
- Machine learning and big data with kdb+/q
- Machine learning for subsurface characterization
- Managing Your Data Science Projects : Learn Salesmanship, Presentation, and Maintenance of Completed Models
- Mastering Apache Storm : processing big data streams in real time
- Mastering Hadoop 3 : big data processing at scale to unlock unique business insights
- Mastering Machine Learning with Python in Six Steps : A Practical Implementation Guide to Predictive Data Analytics Using Python
- Mastering data-intensive collaboration and decision making : research and practical applications in the Dicode Project
- Mastering large datasets with Python : parallelize and distribute your Python code
- Mathematical problems in data science : theoretical and practical methods
- Metadata for information management and retrieval : understanding metadata and its use
- Metaheuristics for data clustering and image segmentation
- Methodological developments in data linkage
- Microsoft big data solutions
- Mind+machine : a decision model for optimizing and implementing analytics
- Mining of massive datasets
- Mobile big data
- Mobility patterns, big data and transport analytics : tools and applications for modeling
- Modeling and processing for next-generation big-data technologies : with applications and case studies
- Modern Data Access with Entity Framework Core : Database Programming Techniques for .NET, .NET Core, UWP, and Xamarin with C#
- Modern big data architectures : a multi-agent systems perspective
- Modern enterprise business intelligence and data management : a roadmap for IT directors, managers, and architects
- Monetizing Machine Learning : Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
- MongoDB Recipes : With Data Modeling and Query Building Strategies
- Multivariate methods and forecasting with IBM® SPSS® statistics
- Network data analytics : a hands-on approach for application development
- Network security with NetFlow and IPFIX : big data analytics for information security
- Networking for big data
- New advances in statistics and data science
- New challenges for data design
- Next-Generation Big Data : A Practical Guide to Apache Kudu, Impala, and Spark
- Next-Generation Big Data : A Practical Guide to Apache Kudu, Impala, and Spark
- Next-Generation Machine Learning with Spark : Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More
- Numbersense : how to use big data to your advantage
- Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
- Obtaining value from big data for service delivery
- Obtaining value from big data for service systems : big data technology, Volume II
- Obtaining value from big data for service systems, Volume I, Big data management
- Obtaining value from big data for service systems, Volume II, Big data technology
- Online marketing and big data exploration
- Open data now : the secret to hot startups, smart investing, savvy marketing, and fast innovation
- Operations research proceedings 2016 : selected papers of the annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016
- Optimization for data analysis
- Optimize your greatest asset--your people : how to apply analytics to big data to improve your human capital investments
- Optimize your greatest asset--your people : how to apply analytics to big data to improve your human capital investments
- Optimizing Data-to-Learning-to-Action : The Modern Approach to Continuous Performance Improvement for Businesses
- Oracle NoSQL database : real-time big data management for the enterprise
- Oracle R enterprise : harnessing the power of R in Oracle database
- Oracle big data handbook
- Outside-in marketing : using big data to guide your content marketing
- Practical Apache Spark : Using the Scala API
- Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
- Practical Data Science with Python 3 : Synthesizing Actionable Insights from Data
- Practical Enterprise Data Lake Insights : Handle Data-Driven Challenges in an Enterprise Big Data Lake
- Practical Enterprise Data Lake Insights : handle data-driven challenges in an Enterprise Big Data Lake
- Practical Graph Analytics with Apache Giraph
- Practical Hadoop Ecosystem : A Definitive Guide to Hadoop-Related Frameworks and Tools
- Practical Hive : A Guide to Hadoop's Data Warehouse System
- Practical Machine Learning with AWS : Process, Build, Deploy, and Productionize Your Models Using AWS
- Practical MongoDB : architecting, developing, and administering MongoDB
- Practical Quantum Computing for Developers : Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
- Practical Splunk Search Processing Language : A Guide for Mastering SPL Commands for Maximum Efficiency and Outcome
- Practical Web Scraping for Data Science : Best Practices and Examples with Python
- Practical business analytics using SAS : a hands-on guide
- Practical concurrent Haskell : with big data applications
- Predictive Data Mining Models
- Predictive analytics, data mining and big data : myths, misconceptions and methods
- Predictive econometrics and big data
- Principles and practice of big data : preparing, sharing, and analyzing complex information
- Principles of big data : preparing, sharing, and analyzing complex information
- Principles of big data : preparing, sharing, and analyzing complex information
- Principles of big data : preparing, sharing, and analyzing complex information
- Privacy is power : why and how you should take back control of your data
- Pro Apache Hadoop
- Pro Couchbase Development : A NoSQL Platform for the Enterprise
- Pro DAX with Power BI : Business Intelligence with PowerPivot and SQL Server Analysis Services Tabular
- Pro Data Visualization using R and JavaScript
- Pro Deep Learning with TensorFlow : A Mathematical Approach to Advanced Artificial Intelligence in Python
- Pro DevOps with Google Cloud Platform : With Docker, Jenkins, and Kubernetes
- Pro Hadoop
- Pro Machine Learning Algorithms : A Hands-On Approach to Implementing Algorithms in Python and R
- Pro Spark Streaming : The Zen of Real-Time Analytics Using Apache Spark
- Pro Spark streaming : the zen of real-time analytics using Apache Spark
- Pro Tableau : A Step-by-Step Guide
- Processing Big Data with Azure HDInsight : Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
- Processing big data with Azure HDInsight : building real-world big data systems on Azure HDInsight using the Hadoop ecosystem
- Profit drive business analytics : a practitioner's guide to transforming big data into added value
- PySpark Recipes : A Problem-Solution Approach with PySpark2
- PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes
- PyTorch Recipes : A Problem-Solution Approach
- Python Data Analytics : With Pandas, NumPy, and Matplotlib
- Python Machine Learning Case Studies : Five Case Studies for the Data Scientist
- Python for Data Mining Quick Syntax Reference
- Python for finance : financial modeling and quantitative analysis explained
- Quantum Computing Solutions : Solving Real-World Problems Using Quantum Computing and Algorithms
- R Data Science Quick Reference : A Pocket Guide to APIs, Libraries, and Packages
- R Quick Syntax Reference
- R Quick Syntax Reference : A Pocket Guide to the Language, APIs and Library
- R Recipes : A Problem-Solution Approach
- R for data science : import, tidy, transform, visualize, and model data
- R for data science : import, tidy, transform, visualize, and model data
- Real-time & stream data management : push-based data in research & practice
- Real-world Hadoop
- Real-world data mining : applied business analytics and decision making
- Reality mining : using big data to engineer a better world
- Reality mining : using big data to engineer a better world
- Refining the concept of scientific inference when working with big data : proceedings of a workshop
- Regression with big data
- Reliability assurance of big data in the cloud : cost-effective replication-based storage
- Reliability assurance of big data in the cloud : cost-effective replication-based storage
- Research and Practical Issues of Enterprise Information Systems : 10th IFIP WG 8.9 Working Conference, CONFENIS 2016, Vienna, Austria, December 13--14, 2016, Proceedings
- Research and Practical Issues of Enterprise Information Systems : 10th IFIP WG 8.9 Working Conference, CONFENIS 2016, Vienna, Austria, December 13-14, 2016, Proceedings
- Reshaping society through analytics, collaboration, and decision support : role of business intelligence and social media
- Resource management for big data platforms : algorithms, modelling, and high-performance computing techniques
- Restoring the soul of business : staying human in the age of data
- Risk management and big data
- Robust representation for data analytics : models and applications
- Ruby Data Processing : Using Map, Reduce, and Select
- Rule based systems for big data : a machine learning approach
- SQL Server Big Data Clusters : Data Virtualization, Data Lake, and AI Platform
- SQL Server Big Data Clusters : Early First Edition Based on Release Candidate 1
- SQL on big data : technology, architecture, and innovation
- Sams teach yourself Hadoop in 24 hours
- Scala and Spark for big data analytics : explore the concepts of functional programming, data streaming, and machine learning
- Scalable Big Data Architecture : A practitioners guide to choosing relevant Big Data architecture
- Scalable big data architecture : a practitioner's guide to choosing relevant big data architecture
- Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
- Searching for information online : using big data to identify the concerns of potential Army recruits
- Seeing cities through big data : research, methods and applications in urban informatics
- Selecting, scraping, and sampling big data sets from the internet : fan blogs as exemplar
- Semantic applications : methodology, technology, corporate use
- Shared measures : collective performance data use in collaborations
- Signal processing and networking for big data applications
- Small summaries for big data
- Smart Big Data Management
- Smart agriculture : emerging pedagogies of deep learning, machine learning and Internet of Things
- Smart data analytics : Zusammenhänge erkennen, Potentiale nutzen, Big Data verstehen
- Social Media Analytics Strategy : Using Data to Optimize Business Performance
- Social Media and Big Data in Consumer Behaviour
- Social big data mining
- Social sensing : building reliable systems on unreliable data
- Software architecture for big data and the cloud
- Solving large scale learning tasks : challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday
- Spark : big data cluster computing in production
- Spark in action
- Spatial analysis using big data : methods and urban applications
- Spatial big data science : classification techniques for Earth observation imagery
- Spatial network big databases : queries and storage methods
- Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise
- Splunk operational intelligence cookbook : over 80 recipes for transforming your data into business-critical insights using Splunk
- Statistics for machine learning
- Strategic engineering for cloud computing and big data analytics
- Streaming, sharing, stealing : big data and the future of entertainment
- Structured search for big data : from keywords to key-objects
- Structured search for big data : from keywords to key-objects
- Structuring big data
- Taming the big data tidal wave : finding opportunities in huge data streams with advanced analytics
- Techniques and environments for big data analysis : parallel, cloud, and grid computing
- Text Analytics with Python : A Practical Real-World Approach to Gaining Actionable Insights from your Data
- Text Analytics with Python : A Practitioner's Guide to Natural Language Processing
- Text mining : concepts, implementation, and big data challenge
- The AI-Powered Workplace : How Artificial Intelligence, Data, and Messaging Platforms Are Defining the Future of Work
- The Decision Maker's Handbook to Data Science : A Guide for Non-Technical Executives, Managers, and Founders
- The Definitive Guide to Azure Data Engineering : Modern ELT, DevOps, and Analytics on the Azure Cloud Platform
- The Definitive Guide to Spring Batch : Modern Finite Batch Processing in the Cloud
- The Econometrics of Multi-dimensional Panels : Theory and Applications
- The accidental data scientist : big data applications and opportunities for librarians and information professionals
- The analytic hospitality executive : implementing data analytics in hotels and casinos
- The analytic hospitality executive : implementing data analytics in hotels and casinos
- The analytics revolution : how to improve your business by making analytics operational in the big data era
- The analytics revolution : how to improve your business by making analytics operational in the big data era
- The big data-driven business : how to use big data to win customers, beat competitors, and boost profits
- The book of alternative data : a guide for investors, traders and risk managers
- The data and analytics playbook : proven methods for governed data and analytic quality
- The data mirage : why companies fail to actually use their data
- The data revolution : big data, open data, data infrastructures & their consequences
- The data revolution : big data, open data, data infrastructures & their consequences
- The data revolution : big data, open data, data infrastructures and their consequences
- The digital era, 1, Big data stakes
- The informed company : how to build modern agile data stacks that drive winning insights
- The intelligent enterprise in the era of big data
- The internet of things & data analytics handbook
- The new rules of sales and service : how to use agile selling, real-time customer engagement, big data, content, and storytelling to grow your business
- The new rules of sales and service : how to use agile selling, real-time customer engagement, big data, content, and storytelling to grow your business
- The rise of big spatial data
- The visual Imperative : creating a visual culture of data discovery
- The visual organization : data visualization, big data, and the quest for better decisions
- The visual organization : data visualization, big data, and the quest for better decisions
- Thick big data : doing digital social sciences
- Think bigger : developing a successful big data strategy for your business
- Think bigger : developing a successful big data strategy for your business
- Think like a data scientist : tackle the data science process step-by-step
- Thinking big data in geography : new regimes, new research
- Thinking in Pandas : How to Use the Python Data Analysis Library the Right Way
- Threat forecasting : leveraging big data for predictive analysis
- Too big to ignore : the business case for big data