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Free Download Udemy - Data Mesh Demystified Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 546.15 MB | Duration: 1h 52m Mastering Data Mesh: Building Scalable, Decentralized Data Architectures for Modern Organizations What you'll learn Understand Data Mesh Principles: Explain key principles like Domain Ownership, Data as a Product, and Federated Governance in Data Mesh. Compare Traditional Data Architectures vs. Data Mesh: Identify how Data Mesh solves challenges of traditional architectures, such as scalability and data silos. Design and Implement a Self-Serve Data Platform: Build a self-serve platform for teams to access and manage data autonomously within your organization. Data Governance and Quality Practices Implement governance and data quality management in a decentralized Data Mesh environment to ensure security and complianc Requirements There are no strict prerequisites for taking this course, making it accessible for both beginners and experienced professionals. However, having the following skills or knowledge will be beneficial: Basic Understanding of Data Concepts: Familiarity with basic data concepts like databases, data storage, and data management will help grasp the more advanced concepts of Data Mesh. Experience with Data Architecture (Optional): Some experience with data architecture, data warehouses, or data pipelines would make it easier to understand the comparisons between traditional systems and Data Mesh. Comfort with Technology and Cloud Platforms (Optional): Having a general understanding of cloud platforms like AWS, Azure, or GCP is helpful, especially when discussing the tools and technologies used in Data Mesh. Eagerness to Learn: Most importantly, a willingness to learn new concepts and explore modern data architectures is all you really need! Description In today's fast-paced world, organizations are generating more data than ever before, and traditional data architectures often struggle to keep up. Data Mesh is a revolutionary approach to data management that decentralizes ownership, promotes scalability, and enables cross-team collaboration. This course will guide you through the foundational concepts, practical tools, and real-world strategies to implement Data Mesh within your organization.Throughout the course, you will learn:The challenges of traditional data architectures and how Data Mesh solves themThe core principles of Data Mesh, including Domain Ownership and Data as a ProductHow to design and build a Self-Serve Data Platform that empowers teams to access and manage data autonomouslyHow to implement data governance and ensure high data quality in a decentralized systemPractical steps to deploy Data Mesh within your organization, including tracking success and continuous improvementThis course combines theoretical knowledge with practical examples and step-by-step guides, making it perfect for data architects, engineers, IT leaders, and anyone looking to modernize their data infrastructure. By the end of the course, you will have the tools and knowledge to design scalable, decentralized data architectures using Data Mesh principles.Whether you are new to Data Mesh or an experienced professional, this course will provide you with actionable insights to transform the way your organization handles data.Join me to unlock the potential of Data Mesh and take your data strategy to the next level! Overview Section 1: Introduction Lecture 1 Welcome Section 2: Introduction to Data Mesh Lecture 2 What is Data Mesh? Lecture 3 Traditional Data Architecture Challenges Lecture 4 How Data Mesh Solves These Challenges Lecture 5 Benefits of Adopting Data Mesh Section 3: Core Principles of Data Mesh Lecture 6 Introduction to the Four Key Principles Lecture 7 Domain Ownership Lecture 8 Data as a Product Lecture 9 Self-Serve Data Platform Lecture 10 Federated Computational Governance Section 4: Data Mesh Architecture and Components Lecture 11 Overview of Data Mesh Architecture Lecture 12 Domain Teams and Their Roles Lecture 13 Data Products Lecture 14 Self-Serve Data Platform in Detail Lecture 15 Federated Governance in Practice Section 5: Tools & Technologies for Data Mesh Implementation Lecture 16 Introduction to Data Mesh Tools Lecture 17 Data Storage Solutions in Data Mesh Lecture 18 Data Pipelines and ETL Tools Lecture 19 APIs and Service Mesh for Data Exchange Lecture 20 Data Visualization and Reporting Section 6: Data Governance and Data Quality in Data Mesh Lecture 21 Introduction to Data Governance in Data Mesh Lecture 22 Implementing Data Governance Policies Lecture 23 Data Quality Management in a Decentralized System Lecture 24 Monitoring and Continuous Improvement of Data Quality Section 7: Implementing Data Mesh in Your Organization Lecture 25 Step-by-Step Implementation Guide Lecture 26 Defining Data Products and Governance Structures Lecture 27 Building the Self-Serve Data Platform Lecture 28 Tracking Success and Continuous Improvement Section 8: Conclusion Lecture 29 Thank You! Data Architects and Engineers: Professionals responsible for designing and building data systems will find this course valuable as it explores modern Data Mesh architectures, providing insights into scaling and decentralizing data management.,Business Intelligence (BI) Professionals: Those working in BI roles who want to understand how Data Mesh can improve data access and collaboration across departments will benefit from learning how to implement decentralized data governance and self-serve platforms.,Data Governance and Quality Specialists: Professionals focused on data governance and quality will gain a deeper understanding of how Data Mesh addresses challenges around data compliance, quality, and security in a decentralized environmen,IT Leaders and Decision Makers: IT managers and leaders seeking to modernize their organization's data architecture and improve collaboration across teams will find this course helpful for evaluating Data Mesh as a solution.,Learners New to Data Mesh Concepts: If you're curious about new approaches to data architecture, particularly Data Mesh, and want to learn how to apply it in real-world settings, this course provides an accessible introduction. 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Free Download Ai Jargon Demystified - Your Mini Genai Jumpstart Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 326.82 MB | Duration: 0h 32m Master essential GenAI terminology and concepts in just 30 minutes - the perfect jumpstart for your GenAI journey What you'll learn Decode 73 AI terms, from fundamentals to cutting-edge concepts Master lesser-known AI jargon like SLMs, LAMs, and RLHF Understand key Generative AI concepts, including LLMs and Transformers Navigate complex topics such as GEO and SSI with confidence Access a comprehensive AI jargon cheatsheet for quick reference Gain insights into the broader AI ecosystem, including emerging technologies Learn to differentiate between similar-sounding terms in AI discussions Boost your credibility in professional AI conversations and meetings Requirements No programming or technical experience required, just a desire to learn! Description Demystify AI jargon in just 30 minutes! This fun, informative course featuring corporate role-play and Raven Mad, the crow sock puppet, will equip you to confidently lead GenAI project meetings and tech conversations. Unlock the world of Generative AI and navigate the AI landscape with confidence.This Udemy offering covers Section 3 of my full 11-Section course, GenAI Jumpstart, normally valued at $59 stand-alone.What Will Be Covered In "AI Jargon Demystified":Gain a robust understanding of 73 essential AI terms and linking concepts, ranging from foundational concepts to cutting-edge innovationsUnravel the complexities of AI language, transforming intimidating jargon into accessible knowledgeExplore the frontiers of AI technology, gaining insight into emerging concepts that are shaping the future of the fieldDevelop the ability to explain complex AI ideas in simple terms, enhancing your communication skills in both technical and non-technical settingsAcquire the confidence to engage in high-level discussions about AI, positioning yourself as a knowledgeable parti[beeep]nt in any AI-related conversationRecognise the interconnections between various AI concepts, building a comprehensive mental map of the AI landscapeIdentify and understand the practical applications of different AI technologies in real-world scenariosCultivate the skills to critically evaluate AI news, products, and proposals, becoming a more informed consumer and decision-makerBridge the gap between technical and business perspectives on AI, facilitating more effective collaboration in AI projectsBy the end of this course, you'll not only understand AI terminology but also be able to apply this knowledge practically. Whether you're looking to contribute more effectively to AI projects, make informed decisions about AI implementation, or simply keep up with the rapidly evolving world of technology, this course will provide you with the linguistic tools and conceptual framework to navigate the AI landscape with confidence and clarity.Includes:30 minutes of targeted video content with an entertaining corporate roleplay Interactive jargon breakdown sessions with the GenAI Jumpstart sock puppet mascotAccess to a Notion page with detailed explanations7-Page Downloadable PDF Jargon Cheatsheet for quick referenceEnroll now and take the first step towards AI fluency. Overview Section 1: Introduction Lecture 1 Introduction-What we will learn Section 2: Corporate Roleplay using GenAI Jargon and Terms Lecture 2 A CTO, CEO and CPO walk into a meeting.. Section 3: Jargon demystified and explained with "Raven Mad" Lecture 3 GenAI Terms: Round 1 Lecture 4 GenAI Terms: Round 2 Lecture 5 GenAI Terms: Round 3 Lecture 6 GenAI Terms: Round 4 Lecture 7 GenAI Terms: Round 5 Lecture 8 GenAI Terms: Round 6 Lecture 9 GenAI Terms: Round 7 Lecture 10 GenAI Terms: Round 8 Section 4: Jargon explained print-out + Notion Lecture 11 Download the GenAI jargon cheat-sheet Anyone who uses technology for work or play that wants to be ahead of the curve in Generative AI,Any "nerd-curious" white-collar professional working in an industry that uses technology on a daily basis ie project managers, analysts, executives Homepage https://www.udemy.com/course/mini-genai-jumpstart/ Rapidgator https://rg.to/file/6c68d9e6c6d82136196bb72f4058a941/ujhdc.Ai.Jargon.Demystified.Your.Mini.Genai.Jumpstart.rar.html Fikper Free Download https://fikper.com/bAVD32S5MH/ujhdc.Ai.Jargon.Demystified.Your.Mini.Genai.Jumpstart.rar.html No Password - Links are Interchangeable

Free Download Web Components Demystified Released 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lessons ( 7h 52m ) | Size: 1.38 GB A comprehensive, premium course about building dynamic, fast, resilient apps with standard web components. If you're like me, you've been hearing a lot about web components lately. Many of us are finding ways to transition to using web components more in our work, and all the while, many teams are struggling to get up to speed and figure out how web components fit into their workflows. A lot is happening with web components right now and it can be a little overwhelming to follow all that has changed. Why Now? Our Practices are Evolving. Over the last decade, the web community rallied around JavaScript libraries and frameworks that enabled many great innovations while frequently coming at a cost to performance and resilience. Fortunately, we now have a standard component model built right into our browsers, and using its various technologies can help us cut delivery weight and reduce complexity. Many of the largest companies in the world have already begun transitioning their sites and design systems to use web components, and major JavaScript libraries like React have greatly improved their compatibility to work with them as well. Web Components are ready for production today. A comprehensive, approachable curriculum. My aim for this course is to demystify web components, covering the many ways people are using them right now and show you how you can use them to build fast modern websites today. Web Components Demystified is a comprehensive and inclusive course, always considering the implications on accessibility, resilience, and performance throughout. Who is This Course For? Like my last course, Lightning-Fast Web Performance, this course aims to be welcoming to web designers and developers of all levels, but I definitely intend to cover the thornier patterns and challenges with web components today as well. The course will not assume existing knowledge of web components, but it is aimed at Front-End Developers and UI/UX designers who are comfortable writing HTML, CSS, and have a basic knowledge of JavaScript. Some knowledge of popular frameworks will help, as some sections of the course will compare and contrast various approaches and discuss integration strategies as well. If you're a designer or developer looking to gain a better understanding of how web components can fit into your workflow today and into the future, this is the course for you! What you'll get 12 Video Modules 8hrs of Video Instruction In-Depth Technical Dives Resilient Reusable Patterns Practice Prompts Closed-Captioned Framework & Library Tours Certificate of Completion Homepage https://scottjehl.com/learn/webcomponentsdemystified/ Rapidgator https://rg.to/file/67210c1cf01809ea782b82808724f06b/sbxxa.Web.Components.Demystified.part1.rar.html https://rg.to/file/6d2337d6156dbaf5d5b1ad2238e24dab/sbxxa.Web.Components.Demystified.part2.rar.html Fikper Free Download https://fikper.com/3Qsrn3DStf/sbxxa.Web.Components.Demystified.part1.rar.html https://fikper.com/6dUjy5C5r3/sbxxa.Web.Components.Demystified.part2.rar.html No Password - Links are Interchangeable

Free Download Database Normalization Demystified - A Step-By-Guide To 3Nf Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.23 GB | Duration: 0h 42m Mastering Database Normalization: From 1NF to 3NF with Practical Examples-Normalization Up to 3NF with Real-World sample What you'll learn By the end of this course, parti[beeep]nts will have a comprehensive understanding of normalization techniques and their applications. You will be equipped with the skills to design and manage databases that minimize redundancy, ensuring data integrity and efficiency. Develop the ability to convert datasets to First, Second, and Third Normal Forms through practical exercises. Gain a thorough understanding of normalization principles and their importance in database design. Identify and rectify violations of normalization rules in real-world datasets. Apply normalization techniques to enhance data integrity and minimize redundancy in database management. Requirements While a basic understanding of databases is beneficial, it is not mandatory All you need is a keen interest in learning and a commitment to mastering the concepts of normalization. A reliable internet connection for online course access. A mobile phone, PC, laptop, or tablet to parti[beeep]te in course activities and access resources. Description Mastering Database Normalization: From 1NF to 3NF with Practical ExamplesIn the realm of database management, normalization stands as a cornerstone of effective data organization and integrity. This course, "Mastering Database Normalization: From 1NF to 3NF with Practical Examples," is meticulously designed to provide learners with a thorough understanding of normalization techniques, emphasizing practical applications through numerous examples and exercises.Understanding NormalizationNormalization is the process of organizing data in a database to minimize redundancy and dependency. By applying various normalization forms, we can achieve a well-structured database that enhances data integrity and simplifies data management tasks. Whether you are a budding database administrator, a software engineer, or a data analyst, understanding normalization is crucial for developing efficient and scalable databases.Course OverviewThis course is structured into four modules, each focusing on different levels of normalization. You will begin with an introduction to normalization and its significance in database design. The journey will then take you through the intricacies of the First Normal Form (1NF), Second Normal Form (2NF), and finally the Third Normal Form (3NF). Each module includes detailed lectures, real-world examples, and practical exercises to ensure a solid grasp of the concepts.What you will learn from each ModulesModule 1: Introduction to Normalization This module sets the stage for understanding what normalization is and why it is essential. You will learn about the different normal forms and their purposes in ensuring data integrity.Module 2: First Normal Form (1NF) In this module, you will explore the criteria for 1NF, focusing on the importance of atomic data. Through examples, you will practice converting datasets to 1NF, ensuring that you can identify and rectify violations of this form.Module 3: Second Normal Form (2NF) This module delves into the concept of partial dependencies and their role in normalization. You will learn how to transform datasets into 2NF, with practical exercises that reinforce your understanding.Module 4: Third Normal Form (3NF) The final module addresses transitive dependencies and how to achieve 3NF. You will engage in hands-on exercises to transform datasets from 2NF to 3NF, solidifying your knowledge of normalization principles.Whether you are a student, a professional seeking to improve your knowledge, or someone transitioning into the field of data management, this course offers valuable insights and practical experience. Join us in this transformative journey to master database normalization. Equip yourself with essential skills that will not only improve your data management capabilities but also enhance your career prospects in the dynamic field of database technology. Enroll today and unlock the secrets of effective database design!This course covers normalization concepts up to the Third Normal Form (3NF). While there are higher levels of normalization, such as the Fourth and Fifth Normal Forms, these are not commonly used in most practical database designs. Therefore, we focus on the most important and widely used steps, including 1NF, 2NF, and 3NF. If you need deeper insights into higher normal forms for advanced scenarios, additional resources are recommended. Overview Section 1: Introduction to Normalization Lecture 1 What is Normalization? Lecture 2 Types of Normalization Levels Section 2: First Normal Form (1NF) Lecture 3 Converting to 1NF: Simplifying Data Lecture 4 Splitting Data into Multiple Rows: Organizing Information Lecture 5 Splitting Data into Multiple Columns: Organizing Information Section 3: Second Normal Form (2NF) Lecture 6 Why 1NF is Not Enough: Moving to 2NF Lecture 7 Converting to 2NF: Breaking Down Data Dependencies Lecture 8 Benefits of 2NF: Improving Database Efficiency Section 4: Third Normal Form (3NF) Lecture 9 Converting to 3NF: Eliminating Transitive Dependencies Section 5: Practical Database Design Lecture 10 End-to-End Database Design: From Unnormalized to 3NF This course is suitable for anyone interested in enhancing their database management skills.,Aspiring database administrators seeking to enhance their skills in database design.,Students pursuing degrees in computer science, information technology, or related fields.,Software developers interested in understanding database management practices.,Data analysts looking to improve their knowledge of data organization and integrity.,Professionals transitioning into data management roles who want to learn best practices in database normalization. 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Free Download OAuth2 and OIDC demystified with hands-on using Keycloak Published 9/2024 Created by Zoran Petrovic MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 44m ) | Size: 269 MB Designed for Understanding OAuth2/OIDC: When to Use Flows and How They Work Using Low-Level HTTP Requests What you'll learn: Understand the core concepts of OAuth2 and OpenID Connect (OIDC) Gain a clear understanding of OAuth2 and OIDC terminology, including roles, tokens, and scopes. Develop the ability to choose the appropriate OAuth2 flow for different scenarios. Learn to execute OAuth2 flows at a low level using direct HTTP requests. Requirements: You should have a basic understanding of HTTP. Some experience in software development is desirable Description: Welcome to "OAuth2 and OIDC Demystified". This course is designed to equip you with a deep understanding of the core concepts and essential details needed to effectively use OAuth2 and OIDC in real-world scenarios. It is intentionally short and to the point, since I value your time. You can always re-watch some parts if you find them harder to understand, and I recommend you to do that.What You'll Learn:Core Concepts and Terminology: Fundamental components of OAuth2 and OIDC, including roles, tokens and scopes. Understanding these basics will serve as the foundation for everything you do with OAuth2 and OIDC.Authorization Flows: Learn the different OAuth2 flows: Authorization Code (PKCE), Client Credentials, Device Code, Refresh Token, Implicit and Password. Discover when and why you should use each one, depending on your application's needs and security requirements.Low-Level OAuth2: Test OAuth2 flows using raw HTTP requests. By understanding how OAuth2 flows work on low-level (instead of using libraries), you'll be better prepared to troubleshoot issues and ensure secure communication.This course is intended for developers, architects, and IT professionals who are looking to deepen their knowledge of OAuth2 and OIDC. Whether you are integrating third-party authentication providers, securing APIs, or simply wanting to understand the technology better, this course has something for you.You should have a basic understanding of HTTP protocol and some experience in software development is desirable.This is NOT a course on how to use and configure Keycloak or any other identity provider, and this is NOT a course on how to use authentication libraries. The main goal is to understand OAuth2 protocol, how it works and how to use it.By the end of this course, you will have a strong grasp of OAuth2 and OIDC and be confident in choosing the right authorization flows.Join us on this journey to demystify OAuth2 and OIDC and take your authentication skills to the next level! Who this course is for: Software Developers, Solutions Architects and DevOps Homepage https://www.udemy.com/course/oauth2-and-oidc-demystified/ Rapidgator https://rg.to/file/b2030d18419e0c1d8c56c7cb8d33e61e/crxjw.OAuth2.and.OIDC.demystified.with.handson.using.Keycloak.rar.html Fikper Free Download https://fikper.com/AzANnXCrNS/crxjw.OAuth2.and.OIDC.demystified.with.handson.using.Keycloak.rar.html No Password - Links are Interchangeable

Microsoft SQL Server Analysis Services Demystified MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 517 MB Genre: eLearning | Language: English Microsoft SQL Server is an enterprise database server with a multitude of technologies within it. SQL Server 2012 Analysis Services is one of those technologies that empowers users to analyze business data quickly and easily. However, designing cubes in Analysis Services can be a complex task: it's all too easy to make mistakes early on in development that lead to serious problems when the cube is in production. Learning the best practices for cube design before you start your project will help you avoid these problems and ensure that your project is a success. This practical video course teaches you how to make design decisions, manage multidimensional and tabular models, and finally visualize data to successfully deliver a business intelligence project. Microsoft SQL Server Analysis Services Demystified gives viewers an insight into the best practices for designing and building Microsoft Analysis Services 2012 cubes. Packed with real world tasks, this video course starts by helping you make design decisions, recognizing that this maximizes the successful delivery of a business intelligence project. You then get a walkthrough of the key concepts and terms that are common to both the multidimensional and tabular models of Analysis Services. Next, you will move onto key technical implementations of Analysis Services cubes, such as hierarchies, natural and unnatural relationships, and essential MDX expressions. Finally, you will learn about visualizing the data in DAX and MDX in order to expose the data accurately using Excel, Reporting Services, and Power View. Download From NitroFlare http://nitroflare.com/view/7392E1709107972/xidau123_Microsoft_SQLServerAnalysisServicesDemystified.part1.rar http://nitroflare.com/view/D83E3FCC7BB7164/xidau123_Microsoft_SQLServerAnalysisServicesDemystified.part2.rar Download From Rapidgator http://rapidgator.net/file/40eb906e06fc5e4d36c6f34848bff1b2/xidau123_Microsoft_SQLServerAnalysisServicesDemystified.part1.rar.html http://rapidgator.net/file/9049e8854f91e40246e6db6ab5b676b9/xidau123_Microsoft_SQLServerAnalysisServicesDemystified.part2.rar.html Download From Uploaded http://uploaded.net/file/ge59wynt/xidau123_Microsoft_SQLServerAnalysisServicesDemystified.part1.rar http://uploaded.net/file/omndy2vs/xidau123_Microsoft_SQLServerAnalysisServicesDemystified.part2.rar