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Building an Anonymization Pipeline Creating Safe Data

this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection;

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The Complete Book of Data Anonymization

anonymization. It explains how to select a pattern and technique and provides a phased approach towards data anonymization for an application. A;

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Introduction to Privacy-Preserving Data Publishing

information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for;

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Introduction to Privacy-Preserving Data Publishing

information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for;

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines

Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud;

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Data Privacy

principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best;

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Pipeline Safety & Security

Nearly half a million miles of oil and natural gas transmission pipeline criss-cross the United States. While an efficient and;

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Water Pipeline Condition Assessment

Pipeline Condition Assessment provides water utilities with an appropriate path for determining the structural status of an individual pipeline or;

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AWS Data Pipeline Developer Guide

AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data.;

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Building CI/CD Systems Using Tekton

source framework for creating continuous integration and continuous delivery (CI/CD) systems. It enables you to build, test, and deploy across;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model;

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Learning ELK Stack

you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources;

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Pipeline Integrity

resource for keeping their pipelines and facilities safe and efficient. Set an integrity management plan and safe assessment program while;

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Azure Data Factory by Example

your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft's;

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The School-to-Prison Pipeline

An in-depth analysis of the legal entry points and remedies in the school-to-prison pipeline The school-to-prison pipeline is an;

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Calming the Fearful Mind

step-by-step instructions for overcoming fear, creating a safe living environment, and building community. Original.;

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Excel 2010 Just the Steps For Dummies

filtering data, creating charts, creating PivotTables, building macros, integrating Excel into other Office programs, and-whew!-still more;

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Building Html5 Games With Impactjs

, techniques for creating highly optimized game logic and cover some of the most commonly used game frameworks available. While this books offers an;

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Data Privacy Management, Cryptocurrencies and Blockchain Technology

selected for presentation. The papers focus on privacy preserving data analysis; field/lab studies; and privacy by design and data anonymization;

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Pipeline Integrity Handbook

pipeline integrity. The book begins with an overview of pipeline risk management and engineering assessment, including data collection and;

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Privacy in Statistical Databases

data masking; protection using privacy models; synthetic data; remote and cloud access; disclosure risk assessment; co-utile anonymization.;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVIII

, held in Porto, Portugal, in September 2016. Topics covered include query personalization in databases, data anonymization, similarity search;

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What Is SQL ?

programmable T-SQL Building and loading data warehouses without using an expensive ETL tool Troubleshooting and tuning SQL code and database designs;

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Mapping Data Flows in Azure Data Factory

aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation;

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Ms Access 2010 Sbs

pace-building and practicing the skills you need, just when you need them! Topics include building an Access database from scratch or from;

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Minding the Machines - Building and Leading Data Science and Analytics Teams

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading;

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Beginning Jenkins Blue Ocean

Dive deep into Jenkins Blue Ocean and discover how easy creating a pipeline can be. You'll see how Blue Ocean provides a better user;

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