Products related to Data:
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Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology
Kubernetes has become the primary platform for deploying and managing cloud native applications.But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging.If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud.Delve into case studies to avoid the pitfalls others have faced and explore new use cases.Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more
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Cloud Data Architectures Demystified : Gain the expertise to build Cloud data solutions as per the organization's needs
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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PROOFPOINT PFPT Cloud App Security Broker Data Ret
PROOFPOINT PFPT Cloud App Security Broker Data Ret
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What is the question about data protection and data security?
The question about data protection and data security revolves around how organizations can safeguard sensitive information from unauthorized access, breaches, and cyber threats. It also involves ensuring compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Additionally, the question may address best practices for data encryption, access controls, regular security audits, and incident response plans to mitigate risks and protect data integrity.
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What is the difference between data protection and data security?
Data protection refers to the policies and procedures put in place to ensure that personal data is handled in compliance with privacy laws and regulations. This includes obtaining consent for data collection, limiting access to personal information, and ensuring data is accurate and up to date. On the other hand, data security focuses on protecting data from unauthorized access, use, or destruction. This includes measures such as encryption, firewalls, and access controls to prevent data breaches and cyber attacks. In summary, data protection is about the legal and ethical handling of personal data, while data security is about the technical measures used to protect that data from unauthorized access or misuse.
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"May cloud providers delete my data?"
Yes, cloud providers have the ability to delete your data. This can happen if you violate the terms of service, fail to pay for the service, or if the provider experiences a technical issue that results in data loss. It's important to carefully review the terms of service and understand the provider's data retention and deletion policies to ensure that your data is protected. Additionally, it's a good practice to regularly back up your data to mitigate the risk of data loss.
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Can cloud providers delete my data?
Yes, cloud providers have the ability to delete your data. When you store data with a cloud provider, you are essentially entrusting them with the responsibility of managing and maintaining that data. This means that they have the authority to delete your data if necessary, such as in the case of a violation of their terms of service or if you fail to pay for the service. It's important to carefully review the terms of service and understand the provider's data retention policies to ensure that your data is protected. Additionally, it's a good practice to regularly back up your data to prevent any potential loss.
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Discovering Computers: Digital Technology, Data, and Devices
DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it -- and the responsibilities that go along with being a digital citizen.Focusing on current technology, the content addresses convergence of devices and platforms.Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills.A variety of end-of-module activities -- checkpoint questions, small group activities and problem-solving exercises -- enable you to put what you learn into practice.MindTap digital learning solution is also available.Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.
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Snowflake Cookbook : Techniques for building modern cloud data warehousing solutions
Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operationsKey FeaturesBuild and scale modern data solutions using the all-in-one Snowflake platformPerform advanced cloud analytics for implementing big data and data science solutionsMake quicker and better-informed business decisions by uncovering key insights from your dataBook DescriptionSnowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud.This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses.You will then learn how to configure a virtual warehouse for optimizing cost and performance.Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability.You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes. What you will learnGet to grips with data warehousing techniques aligned with Snowflake's cloud architectureBroaden your skills as a data warehouse designer to cover the Snowflake ecosystemTransfer skills from on-premise data warehousing to the Snowflake cloud analytics platformOptimize performance and costs associated with a Snowflake solutionStage data on object stores and load it into SnowflakeSecure data and share it efficiently for accessManage transactions and extend Snowflake using stored proceduresExtend cloud data applications using Spark ConnectorWho this book is forThis book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse.Knowledge of data warehousing and database and cloud concepts will be useful.Basic familiarity with Snowflake is beneficial, but not necessary.
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Foundations for Architecting Data Solutions : Managing Successful Data Projects
Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development.Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects.This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications.Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project.You’ll learn how to: Build a Big Data center of excellence in your company for the first time Identify and manage risk in your data project Retain and motivate teams to increase engagement and innovation Maximize Big Data ROI and align cost structure to help your company attain success
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Harnessing Digital Technology and Data for Nursing Practice
As new technologies and data become essential for the delivery of optimal care, nurses will play an increasingly vital role in developing and implementing digital health strategies.This timely book is designed to help you develop proficiency and confidence to lead this digital transformation. Harnessing Digital Technology and Data for Nursing Practice provides comprehensive coverage of the historical, theoretical and practical dimensions of the digital transformation in nursing.It considers a wide range of topics, from person-centred practice and user-centred design to nursing workforce development, evolving nursing practices, and the role of data in improving patient care and research.Expert insights are supported by learning activities and real-life case studies, with application of theory to practice throughout. Aimed at nurses in all settings and working at all professional levels, this book will leave the reader with an appreciation of how an array of digital technologies and data can positively impact nurses' wellbeing, support and improve your daily practice, and ultimately ensure patient-centred, safe and effective care. Written specifically for nurses and midwives - explains how you can play a central role in shaping the digital future of health careProvides historical, theoretical and practical perspectives - offers a sound base from which to understand the role of data technology in your workCovers a wide spectrum of topics, including: digital transformation of health carenursing informaticsuser-centred designdata-driven practiceperson-centred carehealth inequalitiestelehealth and remote monitoringethical and legal considerationspopulation healthresearchProvides practical insights and case studies to help you apply digital technologies in practiceAcknowledges the challenges in adopting digital health, and stresses the importance of digital literacy and nurse involvement in the design and implementation of digital solutionsGlobally relevant and future oriented - creates a vision for nurses as co-navigators of care who make decisions informed by real-time patient analyticsAncillary videos to support learning
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How to calculate the amount of data in digital video data?
To calculate the amount of data in digital video data, you need to consider the resolution, frame rate, and bit depth of the video. First, calculate the total number of pixels in each frame by multiplying the width by the height of the video resolution. Then, multiply this by the number of frames per second to get the total number of pixels per second. Finally, multiply this by the bit depth (usually 8 bits per color channel) to get the total amount of data per second in bits.
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How do you calculate the amount of data in digital video data?
The amount of data in digital video data can be calculated by multiplying the video resolution (width x height in pixels), the bit depth (number of bits used to represent each color channel), the frame rate (number of frames per second), and the duration of the video in seconds. This will give you the total amount of data in bits. To convert this to a more commonly used unit, such as megabytes or gigabytes, you can divide the total amount of data in bits by 8 to get the amount in bytes, and then divide by 1024 multiple times to convert to larger units.
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What are examples of data security?
Examples of data security measures include encryption, which involves converting data into a code that can only be accessed with the correct key; access controls, which limit who can view or modify data; firewalls, which protect networks from unauthorized access; and regular data backups to ensure that information can be restored in the event of a security breach or data loss. Additionally, strong password policies, multi-factor authentication, and security training for employees are also important components of data security.
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What is data protection and security?
Data protection and security refer to the measures and practices put in place to safeguard data from unauthorized access, use, or disclosure. This includes protecting data from cyber threats such as hacking, malware, and phishing attacks, as well as ensuring compliance with privacy regulations and laws. Data protection and security also involve implementing encryption, access controls, and regular data backups to prevent data loss and maintain the integrity of sensitive information. Overall, data protection and security are essential for maintaining the confidentiality, integrity, and availability of data.
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