Products related to Data:
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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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Data Quality Engineering in Financial Services : Applying Manufacturing Techniques to Data
Data quality will either make you or break you in the financial services industry.Missing prices, wrong market values, trading violations, client performance restatements, and incorrect regulatory filings can all lead to harsh penalties, lost clients, and financial disaster.This practical guide provides data analysts, data scientists, and data practitioners in financial services firms with the framework to apply manufacturing principles to financial data management, understand data dimensions, and engineer precise data quality tolerances at the datum level and integrate them into your data processing pipelines. You'll get invaluable advice on how to: Evaluate data dimensions and how they apply to different data types and use cases Determine data quality tolerances for your data quality specification Choose the points along the data processing pipeline where data quality should be assessed and measured Apply tailored data governance frameworks within a business or technical function or across an organization Precisely align data with applications and data processing pipelines And more
Price: 52.99 £ | Shipping*: 0.00 £ -
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Price: 50.34 € | Shipping*: 0.00 € -
Data Quality Engineering in Financial Services: Applying Manufacturing Techniques to Data
Data Quality Engineering in Financial Services: Applying Manufacturing Techniques to Data
Price: 50.34 € | Shipping*: 0.00 €
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What are local data storage devices?
Local data storage devices are physical hardware devices that are used to store and retrieve digital data on a local level. These devices include hard disk drives (HDD), solid-state drives (SSD), USB flash drives, memory cards, and optical discs such as CDs and DVDs. Local data storage devices are used to store files, documents, photos, videos, and other digital content, and they provide a convenient and accessible way to store and access data without relying on an internet connection. These devices are commonly used in personal computers, laptops, and other electronic devices for storing and accessing data locally.
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What can companies do with my data?
Companies can use your data for a variety of purposes, including targeted advertising, product development, market research, and personalization of services. They may also share your data with third parties for similar purposes, or for data analysis and business intelligence. It's important to carefully review a company's privacy policy to understand how they will use and protect your data.
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Which main directory should I choose to re-scan my data directory in Nextcloud?
In Nextcloud, you should choose the "Settings" directory to re-scan your data directory. This can be found in the admin settings of your Nextcloud instance. By selecting the "Settings" directory, you can initiate a re-scan of your data directory to ensure that any changes or additions to your files are properly recognized and reflected in Nextcloud. This can be useful if you have added or modified files outside of Nextcloud and want to sync them with your Nextcloud instance.
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How can one make local storage data invisible?
One way to make local storage data invisible is by encrypting the data before storing it. This way, even if someone gains access to the local storage, they will not be able to read the data without the encryption key. Another method is to store the data in a format that is not easily readable, such as converting it into a binary format. Additionally, limiting access to the local storage by implementing strict access controls and permissions can also help make the data invisible to unauthorized users.
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Data Governance : Governing data for sustainable business
Data is fundamentally changing the nature of businesses and organisations and the mechanisms for delivering products and services.This book is a practical guide to developing strategy and policy for data governance, in line with the developing ISO 38505 governance of data standards.It will assist an organisation wanting to become more of a data driven business by explaining how to assess the value, risks and constraints associated with collecting, using and distributing data.
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Data Analytics : An Essential Beginner's Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence Concepts
Say goodbye to scratching your head in confusionThis data analytics book could be the answer you're looking for...This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more.We’ll begin by first examining what data analytics really means and what it entails. Do not fret when you meet challenging terms as you read on, as this book includes detailed explanations of words you may not understand.Here are just some of the topics that are discussed within this book:Overview Of Data Analytics: What Is Data Analytics (And Big Data Analytics)?,Data Analytics And Business Intelligence,Data Analysis And Data Analytics,Data Mining,Data Collection,Types Of Data Analytics,The Process: The Lifecycle Of Big Data Analytics,Behavioral Analytics: Using Big Data Analytics To Find Hidden Customer Behavior Patterns,Further Pattern Discovery In Advanced Analytics: Machine Learning,And Much, Much More,Get the book now and learn more about data analytics!
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Google Cloud Platform for Data Science : A Crash Course on Big Data, Machine Learning, and Data Analytics Services
This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform. Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications.GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models. The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics.Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyternotebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI.The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL. What You Will LearnSet up a GCP account and projectExplore BigQuery and its use cases, including machine learningUnderstand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning modelsExplore Google Cloud Dataproc and its use cases for big data processingCreate and share data visualizations and reports with Looker Data StudioExplore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud DataflowExplore Google Cloud Storageand its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streamingWho This Book Is ForData scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects
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Data Activation: Leveraging the Transformative Power of Data to Create Innovative Products and Services
Data Activation: Leveraging the Transformative Power of Data to Create Innovative Products and Services
Price: 20.89 € | Shipping*: 0.00 €
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What can fraudulent companies do with personal data?
Fraudulent companies can use personal data for various malicious purposes, such as identity theft, financial fraud, and phishing scams. They may sell the data to other criminals on the dark web, leading to further exploitation of individuals. Additionally, personal data can be used to create fake accounts, apply for loans or credit cards in someone else's name, and even access sensitive information such as medical records or tax returns. Overall, the misuse of personal data by fraudulent companies can have serious and long-lasting consequences for individuals.
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Are mobile data mainly consumed by system services?
Mobile data can be consumed by both system services and user applications. System services such as software updates, location services, and background app refresh can consume mobile data in the background. However, user applications like social media, video streaming, and web browsing also contribute significantly to mobile data consumption. It's important for users to monitor their data usage and manage background processes to ensure efficient use of mobile data.
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How can one move data from local disk C to local disk D?
To move data from local disk C to local disk D, you can simply copy and paste the files or folders from disk C to disk D. Another option is to use the cut and paste function to move the data. You can also use file transfer software or tools like Windows File Explorer to drag and drop the files from one disk to another. Additionally, you can use backup and restore tools to transfer data from one disk to another.
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How can you move data from local disk C to local disk D?
To move data from local disk C to local disk D, you can simply copy and paste the files or folders from one disk to the other. Alternatively, you can use the cut and paste function to move the data. Another option is to use the drag and drop method to transfer the files from one disk to the other. You can also use file transfer software or backup tools to move the data between the two disks.
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