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Well Architected AI-Powered Lakehouse

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  Well Architected AI-Powered Lakehouse PDF Slides [8 Apr] Free Training: AI/BI for Self-Service Analytics Free Virtual Pass: Data + AI Summit 2025 (June 9-12) Data Lakehouse Architecture: Databricks Well Architected Framework Blog: Introducing the Well-Architected Data Lakehouse from Databricks [Azure Databricks] Data lakehouse architecture: Databricks well-architected framework Q&A Cloud Data Lake Vs Delta lake vs Lakehouse , what is the difference between them Lakehouse is a platform where you get both benefits of Data warehousing and Data Lake, so you can process any data at any scale, which support bot h batch and streaming The AI engine refers here is Mosaic AI? AI engine refers to the AI capablities on Databricks for all your AI needs, including the underlying optimisation by AI to process your data and build AI products Can you please suggest the material to learn deep on Unity Catalog and Governance and how to enable policies? try these links to start with:  https...

All about Cloud understanding

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All about Cloud understanding In this video, Rakesh Jaiswal introduces viewers to foundational cloud design patterns, which are essential solutions to common challenges in cloud application development. These patterns help developers create applications that are scalable, resilient, and maintainable in cloud environments. The video covers several key design patterns, including: Scalability Patterns : Techniques to handle increasing loads by scaling resources up or down. Resiliency Patterns : Strategies to ensure applications remain operational despite failures. Data Management Patterns : Methods for efficient data storage, retrieval, and consistency. Design and Implementation Patterns : Best practices for structuring and deploying cloud applications. Throughout the presentation, Jaiswal provides practical examples and scenarios to illustrate how these patterns can be applied in real-world cloud architectures. This video serves as a valuable resource for software architects, developers,...

Hands on Python Programming Fast Forward

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 Hands on Python Programming Fast Forward This YouTube playlist titled "Hands on Python Programming Fast Forward" is a curated collection designed to provide viewers with a comprehensive and accelerated learning experience in Python programming. This playlist is tailored for individuals seeking to quickly grasp Python's core concepts and apply them in practical scenarios. The playlist comprises a series of concise and focused videos, each targeting specific aspects of Python programming, including: Introduction to Python: An overview of Python's history, features, and applications, setting the foundation for new learners. Data Types and Variables: Detailed explanations of Python's fundamental data types and how to effectively use variables. Control Structures: Insights into conditional statements and loops, essential for controlling the flow of programs. Functions and Modules: Guidance on defining functions and organizing code into reusable modules. File Handl...

Various aspects of software development and design by Jeremy D. Miller

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Various aspects of software development and design by Jeremy D. Miller  This YouTube playlist titled "Jeremy D. Miller" is a curated collection of presentations by Jeremy D. Miller, focusing on various aspects of software development and design. This playlist serves as a valuable resource for developers and architects seeking to deepen their understanding of effective coding practices and architectural patterns. The playlist includes the following key presentations: Convention Over Configuration: In this talk, Miller discusses the "Convention Over Configuration" paradigm, emphasizing how adopting sensible defaults and reducing the need for extensive configuration can lead to more streamlined and maintainable codebases. Lessons Learned From A Long-Lived Codebase: Drawing from his extensive experience, Miller shares insights and lessons learned from working on enduring codebases. He highlights best practices for maintaining and evolving software over time, addressin...

Michael Feathers on Software Design

Michael Feathers on Software Design  This YouTube playlist titled "Michael Feathers on Software Design" is a curated collection of presentations by Michael Feathers, focusing on various aspects of software design and architecture. This playlist serves as a valuable resource for software developers and architects seeking to deepen their understanding of effective design principles and practices. The playlist includes the following key presentations: Sustainable Software Architecture: In this talk, Feathers explores principles and practices essential for creating maintainable, adaptable, and resilient software architectures. The Uncertainty Principle: Feathers discusses the inherent uncertainties in software development and how embracing them can lead to better design and implementation. Slicing Design Over Time: This presentation delves into the evolution of software design, emphasizing the importance of iterative development and continuous improvement. By engaging with t...

The average industry cost for large enterprises to support customers issues

 The average industry cost for large enterprises to support customers issues The average cost for large enterprises to support customer issues, which typically involves IT support (L1, L2, and L3 support levels), can vary greatly depending on factors such as the industry, the size of the enterprise, the complexity of the products or services, and whether the support is outsourced or handled in-house. However, there are some general benchmarks and statistics available in industry reports that can give a rough estimate. Key Costs Breakdown for Large Enterprises: Cost Per Ticket : Average Cost for IT Support per Ticket : According to industry benchmarks, the average cost of resolving an IT support ticket can vary based on the complexity of the issue. L1 (Level 1) : Typically lower, around $15 to $30 per ticket . L2 (Level 2) : Generally ranges from $30 to $70 per ticket due to the higher complexity. L3 (Level 3) : The most expensive, often around $70 to $150 per ticket , depending on...

Free top 10 Google AI Courses

 Free Google AI Courses Google just released free AI courses with certificates. No payment needed. Here are 10 Google courses you need to learn AI: These courses are a great way to dive into AI, with options ranging from introductory to more technical topics! Let me know if you'd like more details on any of them. # Course Name Key Details Link 1 Google: AI for Anyone - Basics of AI - No prior knowledge in CS, mathematics, AI, or programming required Link 2 Introduction to Generative AI - Introductory microlearning course - Explains Generative AI, its applications, and differences from traditional ML Link 3 Generative AI for Educators - Flexible AI training designed for teachers - Built by AI experts at Google in collaboration with MIT RAISE - No previous experience necessary Link 4 Gemini in Google Docs - Hands-on lessons on content creation and editing - Boost productivity and writing quality with Gemini - Earn a badge upon completion Link 5 Introduction to Large Language Mo...

Free AI Coerces from Amazon

Free AI Coerces from Amazon # Course Name Duration Courses Included Link 1 Generative AI Learning Plan 11 Hours - Introduction to Generative AI - Planning a Generative AI Project - Amazon Bedrock Getting Started - Foundations of Prompt Engineering - Building Generative AI Applications Link 2 Generative AI Learning Plan for Decision Makers 3 Hours - Introduction to Generative AI - Art of the Possible - Planning a Generative AI Project - Building a Generative AI-Ready Organization Link 3 Foundation of Prompt Engineering (stand-alone) 4 Hours N/A Link 4 Low-Code Machine Learning on AWS N/A N/A Link 5 Building Language Models on AWS 5 Hours 30 Minutes N/A Link 6 Amazon Transcribe Getting Started 1 Hour 30 Minutes N/A Link 7 Machine Learning Learning Plan 12 Hours 13 Minutes 10 courses in total Link These courses offer an excellent opportunity to dive into AI, covering a range of topics from generative AI to machine learning and language models! 

Powerful 10 prompts to land your dream job

Powerful 10 prompts to land your dream job ChatGPT can 10X your interview chances if you use it right. Steal these 10 powerful prompts to land your dream job in 2025: 1️⃣ Company Research "I have an interview with [company] for the [job position]. Summarize their mission, key products/services, and recent news by analyzing their website [link] and press releases." 2️⃣ Resume Optimization "Review my resume (attached) and tailor it for a [job position] at [company]. Identify gaps and suggest courses or projects to strengthen my profile." 3️⃣ Cover Letter Writing "Based on the [job position] description at [company], generate a compelling cover letter highlighting my skills, experience, and passion for the role." 4️⃣ Interview Preparation "For a [job position] at [company], what industry trends and challenges should I be aware of? How can I use them to stand out in the interview?" 5️⃣ Common Interview Questions "List the most common ...