Building An Anonymization Pipeline
DOWNLOAD
Download Building An Anonymization Pipeline PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Building An Anonymization Pipeline book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Building An Anonymization Pipeline
DOWNLOAD
Author : Luk Arbuckle
language : en
Publisher: O'Reilly Media
Release Date : 2020-04-13
Building An Anonymization Pipeline written by Luk Arbuckle and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-13 with Computers categories.
How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner. Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time. Create anonymization solutions diverse enough to cover a spectrum of use cases Match your solutions to the data you use, the people you share it with, and your analysis goals Build anonymization pipelines around various data collection models to cover different business needs Generate an anonymized version of original data or use an analytics platform to generate anonymized outputs Examine the ethical issues around the use of anonymized data
Building An Anonymization Pipeline
DOWNLOAD
Author : Luk Arbuckle
language : en
Publisher:
Release Date : 2020
Building An Anonymization Pipeline written by Luk Arbuckle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Anonymous persons categories.
How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You'll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner. Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.
Ict Systems Security And Privacy Protection
DOWNLOAD
Author : Lili Nemec Zlatolas
language : en
Publisher: Springer Nature
Release Date : 2025-06-16
Ict Systems Security And Privacy Protection written by Lili Nemec Zlatolas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
The two-volume set IFIP AICT 745 + 746 constitutes the refereed proceedings of the 40th IFIP International Conference on ICT Systems Security and Privacy Protection, SEC 2025, held in Maribor, Slovenia, during May 21-23, 2025. The 28 full papers and 7 workshop papers included in this book were carefully reviewed and selected from 127 submissions. They were organized in topical sections as follows: Privacy protection; Industrial and Critical Infrastructure Security; Applied Cryptography; Data and Application Security; and International Workshop on Network and Distributed Systems Security (WNDSS 2025).
Building Machine Learning Pipelines
DOWNLOAD
Author : Hannes Hapke
language : en
Publisher: O'Reilly Media
Release Date : 2020-07-13
Building Machine Learning Pipelines written by Hannes Hapke and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-13 with Computers categories.
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques
Computer Vision Eccv 2024 Workshops
DOWNLOAD
Author : Alessio Del Bue
language : en
Publisher: Springer Nature
Release Date : 2025-05-23
Computer Vision Eccv 2024 Workshops written by Alessio Del Bue and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
Ultimate Mlops For Machine Learning Models
DOWNLOAD
Author : Saurabh Dorle
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-08-30
Ultimate Mlops For Machine Learning Models written by Saurabh Dorle and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
TAGLINE The only MLOps guide you'll ever need KEY FEATURES ● Acquire a comprehensive understanding of the entire MLOps lifecycle, from model development to monitoring and governance. ● Gain expertise in building efficient MLOps pipelines with the help of practical guidance with real-world examples and case studies. ● Develop advanced skills to implement scalable solutions by understanding the latest trends/tools and best practices. DESCRIPTION This book is an essential resource for professionals aiming to streamline and optimize their machine learning operations. This comprehensive guide provides a thorough understanding of the MLOps life cycle, from model development and training to deployment and monitoring. By delving into the intricacies of each phase, the book equips readers with the knowledge and tools needed to create robust, scalable, and efficient machine learning workflows. Key chapters include a deep dive into essential MLOps tools and technologies, effective data pipeline management, and advanced model optimization techniques. The book also addresses critical aspects such as scalability challenges, data and model governance, and security in machine learning operations. Each topic is presented with practical insights and real-world case studies, enabling readers to apply best practices in their job roles. Whether you are a data scientist, ML engineer, or IT professional, this book empowers you to take your machine learning projects from concept to production with confidence. It equips you with the practical skills to ensure your models are reliable, secure, and compliant with regulations. By the end, you will be well-positioned to navigate the ever-evolving landscape of MLOps and unlock the true potential of your machine learning initiatives. WHAT WILL YOU LEARN ● Implement and manage end-to-end machine learning lifecycles. ● Utilize essential tools and technologies for MLOps effectively. ● Design and optimize data pipelines for efficient model training. ● Develop and train machine learning models with best practices. ● Deploy, monitor, and maintain models in production environments. ● Address scalability challenges and solutions in MLOps. ● Implement robust security practices to protect your ML systems. ● Ensure data governance, model compliance, and security in ML operations. ● Understand emerging trends in MLOps and stay ahead of the curve. WHO IS THIS BOOK FOR? This book is for data scientists, machine learning engineers, and data engineers aiming to master MLOps for effective model management in production. It’s also ideal for researchers and stakeholders seeking insights into how MLOps drives business strategy and scalability, as well as anyone with a basic grasp of Python and machine learning looking to enter the field of data science in production. TABLE OF CONTENTS 1. Introduction to MLOps 2. Understanding Machine Learning Lifecycle 3. Essential Tools and Technologies in MLOps 4. Data Pipelines and Management in MLOps 5. Model Development and Training 6. Model Optimization Techniques for Performance 7. Efficient Model Deployment and Monitoring Strategies 8. Scalability Challenges and Solutions in MLOps 9. Data, Model Governance, and Compliance in Production Environments 10. Security in Machine Learning Operations 11. Case Studies and Future Trends in MLOps Index
Natural Language Processing In Action Second Edition
DOWNLOAD
Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25
Natural Language Processing In Action Second Edition written by Hobson Lane and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks.Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you'll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you'll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers.In it, you'll learn to create fun and useful NLP applications such as semantic search engines that are even better than Google, chatbots that can help you write a book, and a multilingual translation program. Soon, you'll be ready to start tackling real-world problems with NLP.
Serverless Etl And Analytics With Aws Glue
DOWNLOAD
Author : Vishal Pathak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-30
Serverless Etl And Analytics With Aws Glue written by Vishal Pathak 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 2022-08-30 with Computers categories.
Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Book DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You’ll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you’ll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you’ll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for ETL developers, data engineers, and data analysts
Practical Data Privacy
DOWNLOAD
Author : Katharine Jarmul
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-04-19
Practical Data Privacy written by Katharine Jarmul 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 2023-04-19 with Computers categories.
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?
Snowflake Snowpro Advanced Administrator Ada C01 Certification Practice 300 Questions Answer
DOWNLOAD
Author : Rashmi Shah
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date :
Snowflake Snowpro Advanced Administrator Ada C01 Certification Practice 300 Questions Answer written by Rashmi Shah and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The "SnowPro® Advanced: Administrator Certification (ADA-C01)" book, available through QuickTechie.com, is meticulously designed for professionals seeking to elevate their Snowflake administration expertise to an expert level. This comprehensive guide is specifically tailored for individuals with two or more years of hands-on experience as a Snowflake Administrator in a production environment, coupled with strong fluency in ANSI and Snowflake advanced SQL. Building upon the foundational knowledge validated by the SnowPro Core Certification, QuickTechie.com offers this essential handbook to enhance administrative prowess. This detailed resource delves into the intricate responsibilities of a Snowflake Administrator, equipping readers with the advanced knowledge and practical skills required to manage, secure, optimize, and ensure the resilience of their Snowflake Data Cloud. From sophisticated security implementations and robust data governance frameworks to intricate performance tuning and seamless disaster recovery strategies, this book, provided by QuickTechie.com, covers every critical aspect of advanced Snowflake administration. Key Learning Objectives Addressed in this Book (Aligned with Certification): The content, meticulously curated by QuickTechie.com, ensures mastery over crucial administrative domains: Comprehensive Account Management: Gain mastery over managing and administering Snowflake accounts, including user provisioning, role-based access control (RBAC), and organization-level settings. Advanced Data Security and Governance: Implement robust data security measures, including network policies, encryption, object-level security, and advanced data governance principles using Snowflake's native capabilities like masking and row access policies. Database Object Lifecycle Management: Learn to effectively manage and maintain all Snowflake database objects, including databases, schemas, tables, views, stages, and more. Virtual Warehouse Optimization: Administer and optimize virtual warehouses for diverse workloads, understanding auto-scaling, auto-suspend, and performance considerations. Performance Monitoring and Tuning: Develop expertise in monitoring Snowflake performance, identifying bottlenecks, and applying advanced tuning techniques to ensure optimal query execution and resource utilization. Data Sharing and Collaboration: Master the intricacies of secure data sharing, leveraging the Data Exchange and Snowflake Marketplace to share and consume data products. Disaster Recovery and Business Continuity: Design, implement, and administer robust disaster recovery, backup, and data replication strategies to ensure high availability and data resilience for critical business operations. Who This Book Is For (The SnowPro Advanced: Administrator Candidate): QuickTechie.com specifically recommends this book for: Experienced Snowflake Administrators responsible for daily operation, security, and performance in large-scale production settings. Cloud Data Architects designing enterprise-level data platforms on Snowflake, requiring deep administrative insight. Data Platform Engineers focusing on operational aspects, governance, and reliability of the Snowflake Data Cloud. IT Operations and DevOps Teams managing Snowflake infrastructure and ensuring its availability and performance. Individuals aiming for the SnowPro® Advanced: Administrator Certification (ADA-C01), as this book is their ultimate study companion, providing exhaustive coverage and extensive practice. Professionals with 2 or more years of hands-on experience with Snowflake as an Administrator in a production environment. Those with fluency in ANSI and Snowflake advanced SQL. Exam Details and How This Book Prepares You: QuickTechie.com ensures this book's structure and content are precisely mapped to the SnowPro® Advanced: Administrator Certification (ADA-C01) exam, guaranteeing unparalleled preparation: Exam Version: ADA-C01 Total Number of Questions: 65 Question Types: Multiple Select, Multiple Choice, and Interactive questions are thoroughly addressed through in-depth explanations and 300 dedicated practice questions designed to simulate the actual exam. Time Limit: 115 minutes – The book emphasizes time management and efficient problem-solving strategies for complex administrative scenarios. Language: English (Content is solely in English). Registration Fee: $375 USD (India Registration Fee: $300 USD) – This information is provided for candidate awareness by QuickTechie.com. Passing Score: 750+ (Scaled Scoring from 0 - 1000) – The comprehensive practice questions and detailed explanations, a hallmark of QuickTechie.com's resources, are engineered to help achieve and surpass this score. Unscored Content: While exams may include unscored items, this book ensures core knowledge is exceptionally strong, preparing candidates to confidently tackle any question. Prerequisites: Assumes SnowPro Core Certification, building directly on that foundational knowledge. Delivery Options: Whether choosing Online Proctoring or Onsite Testing Centers, this book provides the theoretical depth and practical application needed for success. Comprehensive Exam Domain Coverage: The book, available on QuickTechie.com, provides exhaustive coverage of the following domains, mirroring their weighting in the ADA-C01 exam: 1.0 Snowflake Security, RBAC, & User Administration (30%): Deep dive into Snowflake's security architecture, implementing and managing Role-Based Access Control (RBAC), user lifecycle management, authentication methods (MFA, SSO, OAuth), network policies, object-level security, dynamic data masking, and row access policies. 2.0 Account Management & Data Governance (25%): Managing Snowflake accounts at an organizational level, resource monitors, credit consumption, cost optimization, data classification, tagging, advanced governance features, and understanding usage views (ACCOUNT_USAGE, ORGANIZATION_USAGE). 3.0 Performance Monitoring & Tuning (20%): Utilizing Snowflake's monitoring tools (Query Profile, Query History, Snowsight dashboards), virtual warehouse sizing, scaling policies, workload management, query optimization techniques (clustering, search optimization, materialized views), and identifying/resolving performance bottlenecks (spilling, queuing). 4.0 Data Sharing, Data Exchange & Snowflake Marketplace (10%): Implementing secure data sharing (direct shares, listings), administering Snowflake Data Exchange, publishing/consuming data from the Snowflake Marketplace, and managing reader accounts. 5.0 Disaster Recovery, Backup & Data Replication (15%): Understanding Snowflake's data retention (Time Travel, Fail-safe), configuring and managing database replication for business continuity, designing and implementing disaster recovery and failover/failback strategies, and backup strategies within the Snowflake ecosystem. Special Features of This Book: Available exclusively on QuickTechie.com, this book features: 300 Practice Questions with Detailed Answers: A dedicated section with 300 high-quality practice questions, complete with comprehensive explanations for both correct and incorrect answers, to solidify understanding and build exam confidence. Scenario-Based Learning: Real-world administrative scenarios and challenges are presented and solved, preparing for the "Interactive" question types. Best Practices for Production Environments: Insights and recommendations from seasoned Snowflake administrators on managing complex, large-scale Snowflake deployments. Optimization Strategies: Practical advice and techniques for maximizing performance and minimizing costs. Security Deep Dives: Detailed coverage of advanced security features and their implementation. Glossary of Key Terms: A comprehensive glossary for quick reference of Snowflake administrative terminology. QuickTechie.com presents this book not merely as a study guide, but as a vital reference for any Snowflake administrator committed to mastering the platform and ensuring the optimal performance, security, and resilience of their organization's data assets in the cloud.