Analytical Queries For Unstructured Data
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Analytical Queries For Unstructured Data
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Author : Daniel Kang
language : en
Publisher:
Release Date : 2025-10-27
Analytical Queries For Unstructured Data written by Daniel Kang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-27 with Computers categories.
Unstructured data, in the form of text, images, video, and audio, is produced at exponentially higher rates. In tandem, machine learning (ML) methods have become increasingly powerful at analyzing unstructured data. Modern ML methods can now detect objects in images, understand actions in videos, and even classify complex legal texts based on legal intent. Combined, these trends make it increasingly feasible for analysts and researchers to automatically understand the "real world." However, there are major challenges in deploying these techniques: 1) executing queries efficiently given the expense of ML methods, 2) expressing queries over bespoke forms of data, and 3) handling errors in ML methods.In this monograph, challenges and advances in data management systems for unstructured data using ML are discussed, with a particular focus on video analytics. Using ML to answer queries introduces new challenges. First, even turning user intent into queries can be challenging: it is not obvious how to express a query of the form "select instances of cars turning left." Second, ML models can be orders of magnitude more expensive compared processing traditional structured data. Third, ML models and the methods to accelerate analytics with ML models can be error-prone.Recent work in the data management community has aimed to address all of these challenges. Users can now express queries via user-defined functions, opaquely through standard structured schemas, and even by providing examples. Given a query, recent work focuses on optimizing queries by approximating expensive "gold" methods with varying levels of guarantees. Finally, to handle errors in ML models, recent work has focused on applying outlier and drift detection to data analytics with ML.
Complete Data Engineering In 8 Hours
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Author : QuickTechie | A career growth machine
language : en
Publisher: PappuPass Learning Resources
Release Date : 2025-02-02
Complete Data Engineering In 8 Hours written by QuickTechie | A career growth machine and has been published by PappuPass Learning Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.
"Complete Data Engineering in 8 Hours" is a fast-paced learning guide designed to equip both beginners and experienced professionals with the essential skills required to excel in the field of data engineering. In today's digital age, data is paramount, driving decision-making, automation, and innovation. As QuickTechie.com emphasizes, the role of a Data Engineer is increasingly vital for organizations needing to manage, process, and analyze large volumes of data effectively. This book addresses the growing need for skilled professionals who can navigate the complexities of modern data infrastructure. This book offers a structured approach, providing practical insights into core data engineering concepts. It covers essential areas such as databases, data pipelines, Extract, Transform, Load (ETL) processes, big data technologies, and cloud platforms. Unlike traditional lengthy textbooks, this guide is designed to provide a quick yet comprehensive understanding within a targeted timeframe, allowing readers to quickly grasp fundamental principles and advanced techniques. Readers can expect to follow a step-by-step learning path, mastering the art of designing, building, and scaling data systems efficiently. The book ensures readers gain practical, industry-relevant skills that can be immediately applied in a professional setting. This makes it an excellent resource for those transitioning into the field, those aiming to upskill in their current roles, or individuals preparing for data engineering job interviews. By the end of "Complete Data Engineering in 8 Hours," readers will possess the knowledge and confidence to develop, implement, and optimize data infrastructure. This will empower them to become highly valued assets in the data-driven world, capable of contributing significantly to an organization's data strategies. The book is not just a theoretical guide; it provides hands-on learning opportunities to translate theoretical knowledge into practical skills, aligning with QuickTechie.com commitment to practical, applicable technology learning.
Advanced Information Systems Engineering
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Author : Nicolas Herbaut
language : en
Publisher: Springer Nature
Release Date : 2020-08-27
Advanced Information Systems Engineering written by Nicolas Herbaut and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2020 which was held as part of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s theme was “Responsible Information Systems”. The 12 full papers presented in this volume were carefully reviewed and selected from 19 submissions.
Azure Data And Ai Architect Handbook
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Author : Olivier Mertens
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-31
Azure Data And Ai Architect Handbook written by Olivier Mertens and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Computers categories.
Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Translate and implement conceptual architectures with the right Azure services Inject artificial intelligence into data solutions for advanced analytics Leverage cloud computing and frameworks to drive data science workloads Book DescriptionWith data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution. You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions. By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.What you will learn Design scalable and cost-effective cloud data platforms on Microsoft Azure Explore architectural design patterns with various use cases Determine the right data stores and data warehouse solutions Discover best practices for data orchestration and transformation Help end users to visualize data using interactive dashboarding Leverage OpenAI and custom ML models for advanced analytics Manage security, compliance, and governance for the data estate Who this book is forThis book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended.
Hybrid Artificial Intelligent Systems
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Author : Pablo García Bringas
language : en
Publisher: Springer Nature
Release Date : 2023-08-28
Hybrid Artificial Intelligent Systems written by Pablo García Bringas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Computers categories.
This book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5–7, 2023. The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: Anomaly and Fault Detection, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization, HAIS Applications, Image and Speech Signal Processing, Agents and Multiagents, Biomedical Applicatons.
Digital Technology The World Of Our Own
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Author : Binayaka Mishra
language : en
Publisher: Binayaka Mishra
Release Date : 2022-05-12
Digital Technology The World Of Our Own written by Binayaka Mishra and has been published by Binayaka Mishra this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-12 with Business & Economics categories.
" Digital Transformation often referred as DX or DT . IT modernisation (for example, cloud computing) to digital optimization to the creation of new digital business models are all examples of digital transformation. In general, it refers to the use of digital technology to significantly enhance or create new business processes. So, what exactly is digital transformation for businesses? It is the process of understanding consumer needs and using technology to enhance the end-user experience. End users may be either customers or workers, and many businesses must consider both. In the marketing department, for example, digital transformation may generate more high-quality leads and help firms get closer to their customers while spending less money than traditional analogue marketing tactics.Aside from experimenting with new technology, digital transformation entails rethinking your current approach to common challenges. A transition does not always have a clear finish since it is an evolution. When it comes to the topic "what is digital transformation," the MIT Sloan Management Review, a journal that focuses on management transformations, noted, "Digital transformation is best viewed of as continuing adaptation to a constantly changing environment." This implies that businesses must always seek methods to enhance the end-user experience. This might be accomplished via increasing on-demand training, migrating data to cloud services, using artificial intelligence, and other methods. "
Building Data Integration Solutions
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Author : Jay Borthen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-10-15
Building Data Integration Solutions written by Jay Borthen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
Are you struggling to manage and make sense of the vast streams of data flowing into your organization? In today's data-driven world, the ability to effectively unify and organize disparate data sources is not just an advantage—it's a necessity. The challenge lies in navigating the complexities of data diversity, volume, and regulatory demands, which can overwhelm even the most seasoned data professionals. In this essential book, Jay Borthen offers a comprehensive guide to understanding the art of data integration. This book dives deep into the processes and strategies necessary for creating effective data pipelines that ensure consistency, accuracy, and accessibility of your data. Whether you're a novice looking to understand the basics or an experienced professional aiming to refine your skills, Borthen's insights and practical advice, grounded in real-world case studies, will empower you to transform your organization's data handling capabilities. You will: Understand various data integration solutions and how different technologies can be employed Gain insights into the relationship between data integration and the overall data lifecycle Learn to effectively design, set up, and manage data integration components within pipelines Acquire the knowledge to configure pipelines, perform data migrations, transformations, and more
Flexible Integration And Efficient Analysis Of Multidimensional Datasets From The Web
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Author : Kaempgen, Benedikt
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-09-23
Flexible Integration And Efficient Analysis Of Multidimensional Datasets From The Web written by Kaempgen, Benedikt and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-23 with Data structures (Computer science) categories.
If numeric data from the Web are brought together, natural scientists can compare climate measurements with estimations, financial analysts can evaluate companies based on balance sheets and daily stock market values, and citizens can explore the GDP per capita from several data sources. However, heterogeneities and size of data remain a problem. This work presents methods to query a uniform view - the Global Cube - of available datasets from the Web and builds on Linked Data query approaches.
Tapping Into Unstructured Data
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Author : William H. Inmon
language : en
Publisher: Pearson Education
Release Date : 2007-12-11
Tapping Into Unstructured Data written by William H. Inmon and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-11 with Business & Economics categories.
The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured data First generation technology for handling unstructured data, from search engines to ECM--and its limitations Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies Processing semistructured data: uncovering patterns, words, identifiers, and conflicts Novel processing opportunities that arise when text is freed from context Architecture and unstructured data: Data Warehousing 2.0 Building unstructured relational databases and linking them to structured data Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions Capturing knowledge from spreadsheet data and email Implementing and managing metadata: data models, data quality, and more
Mastering Cloud Security
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Author : Dr. Rashmika Agarwal, Dr. Neha Gupta
language : en
Publisher: The Readers Paradise
Release Date :
Mastering Cloud Security written by Dr. Rashmika Agarwal, Dr. Neha Gupta and has been published by The Readers Paradise this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Mastering Cloud Security is a comprehensive technical guide aimed at cloud security professionals, DevSecOps engineers, and cloud architects. It provides practical strategies to secure multi-cloud infrastructures across AWS, Azure, and Google Cloud using CSPM tools and techniques. The book covers foundational cloud security principles, threat landscapes, CSPM deployment, compliance, asset inventory, automation, and governance. Blending theory with real-world practices, it helps readers build a strong cloud security posture by integrating CSPM into day-to-day cloud operations. It falls under the genre of technical non-fiction, with a focus on cybersecurity and cloud infrastructure management. - ocuses on cloud security posture management (CSPM) for securing multi-cloud environments. - Covers leading cloud platforms: AWS, Azure, and Google Cloud Platform (GCP). - Teaches how to identify misconfigurations, enforce compliance, and reduce cloud risks. - Provides hands-on guidance on deploying and managing CSPM tools and features. - Helps detect vulnerabilities, misconfigured assets, and security policy violations. - Includes real-world use cases, dashboards, and automation techniques. - Covers DevSecOps practices, IaC (Infrastructure as Code) scanning, and automated workflows. - Emphasizes continuous monitoring, governance, and security best practices. - Ideal for cloud security engineers, DevSecOps professionals, and cloud architec