Products related to Data:
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Hands-On Healthcare Data : Taming the Complexity of Real-World Data
Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved - once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering.Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data.You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics. With this book, you'll learn:The different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims dataThe challenges of working with healthcare data, especially when trying to aggregate data from multiple sourcesCurrent options for extracting structured data from clinical textHow to make trade-offs when using tools and frameworks for normalizing structured healthcare dataHow to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
Price: 71.99 £ | Shipping*: 0.00 £ -
Streaming Data Mesh : A Model for Optimizing Real-Time Data Services
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster.Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it.This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes.Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product.Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will:Design a streaming data mesh using KafkaLearn how to identify a domainBuild your first data product using self-service toolsApply data governance to the data products you createLearn the differences between synchronous and asynchronous data servicesImplement self-services that support decentralized data
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Behavioral Data Analysis with R and Python : Customer-Driven Data for Real Business Results
Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis.Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data.Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments.Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral dataExplore the differences between measurement and predictionLearn how to clean and prepare behavioral dataDesign and analyze experiments to drive optimal business decisionsUse behavioral data to understand and measure cause and effectSegment customers in a transparent and insightful way
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Hands-On Salesforce Data Cloud : Implementing and Managing a Real-Time Customer Data Platform
Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform.This practical book provides a comprehensive overview that shows architects, administrators, developers, data engineers, and marketers how to ingest, store, and manage real-time customer data. Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and Einstein's built-in trust layer to accelerate your time to value.You'll learn how to leverage Salesforce's low-code/no-code functionality to expertly build a Data Cloud foundation that unlocks the power of structured and unstructured data.Use Data Cloud tools to build your own predictive models or leverage third-party machine learning platforms like Amazon SageMaker, Google Vertex AI, and Databricks. This book will help you:Develop a plan to execute a CDP project effectively and efficientlyConnect Data Cloud to external data sources and build out a Customer 360 Data ModelLeverage data sharing capabilities with Snowflake, BigQuery, Databricks, and AzureUse Salesforce Data Cloud capabilities for identity resolution and segmentationCreate calculated, streaming, visualization, and predictive insightsUse Data Graphs to power Salesforce Einstein capabilitiesLearn Data Cloud best practices for all phases of the development lifecycle
Price: 55.99 £ | Shipping*: 0.00 £
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What is Data Luv's real name?
Data Luv's real name is David Roth. He is a German rapper and singer known for his unique style and catchy melodies. He gained popularity with his hit songs like "Verliebt" and "In Da Club." Data Luv has been making waves in the music industry with his distinct sound and has garnered a dedicated fan base.
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What is the difference between honest and sincere?
Honesty refers to telling the truth and being straightforward in one's communication, while sincerity refers to being genuine and heartfelt in one's actions and expressions. In other words, honesty is about being truthful and transparent, while sincerity is about being genuine and authentic. One can be honest without being sincere, and vice versa. For example, someone can be honest about their feelings but not sincerely express them, or someone can sincerely express themselves but not be completely honest.
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Are there still honest, genuine people?
Yes, there are still honest and genuine people in the world. While it may sometimes seem like dishonesty and insincerity are prevalent, there are still many individuals who value honesty and authenticity in their interactions with others. These people can be found in all walks of life, and their integrity and genuineness can have a positive impact on those around them. It's important to recognize and appreciate these individuals and strive to embody those qualities ourselves.
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Why can't honest, sincere people be found anywhere anymore?
It is not accurate to say that honest and sincere people cannot be found anymore. While it may seem that way due to increased instances of dishonesty and insincerity in the world, there are still many individuals who uphold these values. It is important to seek out and surround oneself with people who prioritize honesty and sincerity, as they do exist in every community and society. Building strong relationships with trustworthy individuals can help counteract the perception that these qualities are lacking in today's world.
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Sincere
Price: 13.99 £ | Shipping*: 3.99 £ -
Data Management at Scale : Modern Data Architecture with Data Mesh and Data Fabric
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable.Today's world is about quickly turning data into value.This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others.With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape.Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabricGo deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and moreExplore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Price: 59.99 £ | Shipping*: 0.00 £ -
Make Work Fair : Data-Driven Design for Real Results
Two leading gender experts and Harvard researchers reveal a new paradigm for fairness at work and offer professionals at every level, in any kind of organization, immediate, proven, and evidence-based ways to do their everyday work better and smarter—and more fairly. To make organizations more fair, many well-meaning individuals and companies invest their time and resources in diversity, equity, and inclusion (DEI) initiatives.But because inequity is built into the structures, processes, and environments of our workplaces, adding these programs has been ineffective and often becomes a burden passed off to the individuals they are meant to help. In Make Work Fair, behavioral scientist and author of What Works Iris Bohnet and gender expert Siri Chilazi offer data-backed, actionable solutions that build fairness into the very fabric of the workplace.Their methods—tested at many organizations, and grounded in data proven to work in the real world—help us make fairer, and simply better, decisions.Using their three-part framework, employees at all levels can embed fairness into their everyday practices. Believing in equal opportunity is essential—but it isn’t enough.Offering an evidence-based blueprint, Make Work Fair shows you how to make it a reality, no matter your role, seniority, responsibilities, or where you are in the world.
Price: 25.00 £ | Shipping*: 3.99 £ -
Phoenix Data Commander Data Safe
THE PHOENIX DATA COMMANDER is designed to meet the requirement of a large capacity fire protection unit for computer diskettes, tapes and all forms of data storage. Suitable for use in commercial business premises for large volume storage. FIRE PROTECTION (DATA) – Tested to Swedish NT Fire 017 – 120dis standard, providing 120 minutes fire protection for computer backup tapes | WATER RESISTANCE – Twin water resistant seals provide an airtight water resistant inner compartment for your computer media | SECURITY PROTECTION – Recommended for an overnight cash risk of £2,500.00 or £25,000.00 valuables | DROP TEST – Fire and impact tested from 9.1 metres for resistance to the impact of falling through the burning floors of a building | SPECIAL FEATURES – Fitted with automatic slam shut locking | FITTINGS – Each unit comes complete with 2 height adjustable shelves and 3 pull out media trays | COLOUR – Finished in a high quality scratch resistant paint RAL9003 White LOCKING OPTIONS:- Electronic - Fitted with an advanced high security electronic lock with clear LED display, dual control, hidden code & scrambled code that can be programmed as standard Fingerprint - Fitted with an advanced high security touchscreen keypad & fingerprint lock with clear LED display, internal alarm, dual control, hidden code and scrambled code that can be programmed as standard with up to 128 fingerprints Key - Fitted with a high quality key lock supplied with two keys
Price: 3553.00 £ | Shipping*: 0.00 £
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Why can't one find honest, sincere people anywhere anymore?
It may seem challenging to find honest and sincere people nowadays due to various factors such as societal pressures, individualistic mindsets, and the prevalence of dishonesty in certain environments. In a fast-paced and competitive world, some individuals may prioritize personal gain over honesty, leading to a lack of sincerity in interactions. Additionally, the rise of technology and social media can sometimes create a facade of perfection, making it difficult to discern genuine sincerity from superficiality. Despite these challenges, there are still honest and sincere people out there, and cultivating authentic relationships based on trust and integrity can help in finding them.
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What is the legitimate interest in data sharing or storing cookies?
The legitimate interest in data sharing or storing cookies lies in providing a personalized and seamless online experience for users. By collecting and analyzing data, companies can better understand user behavior and preferences, allowing them to tailor their services and content to individual needs. This can lead to improved user satisfaction and engagement. Additionally, data sharing and cookie storage can also help companies to measure the effectiveness of their marketing efforts and improve their products and services. However, it is important for companies to ensure that they are transparent about their data practices and obtain user consent for data collection and storage.
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Can you provide real data in an MMORPG?
No, as an AI, I do not have the capability to provide real-time data from an MMORPG. Real data in an MMORPG would typically refer to information such as player statistics, in-game economy data, or server status, which can only be accessed through the game itself. Players can view real data within the game interface or through official game websites or forums provided by the game developers.
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Why can't honest and sincere people be found anywhere anymore?
Honest and sincere people can still be found, but it may seem like they are harder to come by due to various factors such as societal pressures, personal motivations, and the prevalence of dishonest behavior in certain environments. In today's fast-paced and competitive world, some individuals may prioritize personal gain over honesty, leading to a lack of sincerity in their interactions. However, it is important to remember that there are still many genuine and trustworthy people in the world, and it is possible to cultivate meaningful relationships with them by fostering open communication and mutual respect.
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