What, Where, and How of Polyglot Persistence

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As we started embracing Big Data and NoSQL across a number of projects, it quickly became clear that one technology is not going to be a solution for all of our needs. In this talk we share our experiences with polyglot persistence. We begin by outlining the issues relational technology has with scalability and new data formats. We then illustrate the examples of dominant NoSQL technologies and how they fit into the big picture. We explore the polyglot persistence in the cloud and its relationship with Microservices. You will benefit from getting a clear picture of what type of NoSQL data store is a good match for different data processing pieces of puzzle and how to make an optimal choice when selecting pragmatic polyglot solutions. What is polyglot persistence? The relational database problems Taming big data with Hadoop and Map Reduce Scalability with Key/Value and Columnar stores Flexibility of Document stores Finding connections with Graph databases Combining different stores in a system Cloud and polyglot persistence The impact of microservices NoSQL integration strategies

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What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

What, Where, and How of Polyglot Persistence

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EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

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