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    Explore " data base" with insightful episodes like "How Google Is Unleashing Generative AI To Make The Future Better", "DenkTank TFT#08 Tim Ferriss Tips- Bas van der Veldt", "#14: Apache Kafka" and "Your Chart: How it's Created and What it Represents" from podcasts like ""IT Visionaries", "DenkTank", "Deploy Friday: Your source for everything Open Source" and "Astrology: The Theory of Everything"" and more!

    Episodes (4)

    How Google Is Unleashing Generative AI To Make The Future Better

    How Google Is Unleashing Generative AI To Make The Future Better

    Google made its name by changing the way the world uses the internet. Today, the company is still on the leading edge of innovation and Ritika Gunnar, the Sr. Director of Product Management, Databases at Google, is helping to shape the future of technology once more. On this episode, she dives deep into how, where, and why generative AI is going to revolutionize the way engineers build, how apps are developed, and how everyday work gets done.

    Tune in to learn:

    • Why is database management so hard? (3:00)
    • How generative AI is transforming what Google builds (12:00)
    • Creating a whole new world for app developers and programmers (18:00)
    • Generative engineering and how it will change the way developers work (24:00)
    • How generative AI is being use to create new experiences (33:40) 
    • Predicting how AI will be used in the future (36:42)

    Mentions:

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    DenkTank TFT#08 Tim Ferriss Tips- Bas van der Veldt

    DenkTank TFT#08 Tim Ferriss Tips- Bas van der Veldt

    Bas verslond de ‘The 4 Hour Work Week’  van Tim Ferriss. En haalde daar een aantal ideeën uit die hij toepaste in zijn eigen bedrijf en eigen leven.

    • Waarom moet je op informatie dieet? 
    • Waarom moet je ook als bedrijf regelmatig ‘elimineren’ 
    • Waarom moet je dingen niet afmaken? 
    • Waarom je meteen moet beginnen met een standaard antwoorden database.

    En ook de bonustip: misschien moet je boeken die je tien jaar geleden las, weer eens herlezen. 

    Luister en geniet van de uitgesproken mening en praktische tips van Bas van der Veldt, in gesprek met Remy Gieling en Hans Janssen. En wil je Bas én Tim Ferriss live ontmoeten? Kom dan op 29 september naar Amsterdam Business Forum van DenkProducties! 

    #14: Apache Kafka

    #14: Apache Kafka

    Defining Kafka

    Apache Kafka is an open-source stream-processing software platform which aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Anna McDonald, one of the Apache Kafka experts we speak with in this episode, describes it like this, “The easiest way to describe it is a durable log. And that makes it different from most all other messaging systems, where a message goes in, you have to broadcast it out. And as soon as it's consumed, it's gone. And Apache Kafka, it lives until your retention period, which is fantastic. ” Ricardo Ferreria, another expert on Apache Kafka, adds to this definition, “Kafka is not actually a messaging technology, it’s more of a data streaming technology.”

    How Kafka is different from other messaging brokers

    • Pull-based  — Kafka data consumers  fetch data when, how, and how fast they need it, without affecting performance. In push-based messaging technologies, the broker pushes messages to consumers, creating potential bottlenecks and scalability issues.
    • Schema-free — Kafka is by nature schema-less, so you can use the format that you want, or the one that your producers and consumers are going to use to communicate.
    • High volume — Anna says, “Nothing can handle volume like Kafka. That’s my favorite thing.” 
    • Backwards compatibility — Anna offers, “Kafka does a better job of having backwards compatibility than anything I've ever seen in my entire life, like in terms of the clients and not breaking stuff. It's fantastic.”
    • The Kafka ecosystem — Kafka is integrated with APIs like Kafka Streams, Producer, Consumer, Admin, and Connect.

    Treat Kafka as your “single source of truth”

    Both of our experts today talk about treating Kafka as your “single source of truth,” your system of record. Ricardo explains further, “You can have multiple different consumers interested in the same data set, but each one of them are using the data set differently. So when you start using Kafka this way, you start building architectures that are not only super resilient and scalable, but also it is a very good replacement for very expensive end databases.”

    Try Apache Kafka on Platfporm.sh today to get your “single source of truth” 

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    Your Chart: How it's Created and What it Represents

    Your Chart: How it's Created and What it Represents
    Have you ever heard a horoscope referred to as a 'personal database'? It is! Thanks to the brilliance of astrology software developers, astrologers no longer need to be mathematicians and astronomers to 'cast a chart’. Hear from professional software designer, developer, and Mountain Astrologer software-reviewer Hank Friedman about the history of creating charts, how it is done today, and how it might be done in the future. Learn HOW an astrology chart is cast. More importantly, learn WHAT it represents! Find out how astrologers approach a chart and interpret it. Listeners will also learn how many different kinds of charts astrologers use to address clients’ questions. Your chart embraces all the intimate details of your past (lives), present and future storylines. They hold the potential for you to manifest, IF you use your free will in partnership. Using your horoscope, you too can ‘data mine’ answers to two pivotal questions: Why are you here and what did you come to do?