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Join our upcoming webinar as we explore the dynamic field of Artificial Intelligence. Discover how you can leverage CrateDB as a vector store using native SQL, to create a knowledge assistant powered by Generative AI.

What you will learn: - Leveraging Vector Store Capabilities: Learn how to harness the power of vector stores using standard SQL for efficient data retrieval and manipulation\, vital for powering sophisticated AI applications. - CrateDB's Role in AI: Discover why CrateDB is a pivotal choice for AI applications\, particularly for its multi-model capabilities that streamline complex data management and enhance AI-driven insights. - Seamless Integration with Advanced AI Tools: Explore how to integrate CrateDB with LangChain and OpenAI\, including the flexibility to incorporate various embedding algorithms and LLMs\, to create a robust AI ecosystem. - Practical Demonstration: Participate in an end-to-end demonstration within a Jupyter Notebook\, which attendees can revisit and reference post-webinar. It provides a tangible experience on how to create a chatbot on top of your customer support database using Generative AI.

Speakers: - Christian Kurze\, VP Product at CrateDB - Marija Selakovic\, Developer Advocate at CrateDB

How to Build AI-driven Knowledge Assistants with Vector Store, LLMs and RAG

Join our upcoming webinar as we explore the dynamic field of Artificial Intelligence. Discover how you can leverage CrateDB as a vector store using native SQL, to create a knowledge assistant powered by Generative AI.

What you will learn: - Leveraging Vector Store Capabilities: Learn how to harness the power of vector stores using standard SQL for efficient data retrieval and manipulation\, vital for powering sophisticated AI applications. - CrateDB's Role in AI: Discover why CrateDB is a pivotal choice for AI applications\, particularly for its multi-model capabilities that streamline complex data management and enhance AI-driven insights. - Seamless Integration with Advanced AI Tools: Explore how to integrate CrateDB with LangChain and OpenAI\, including the flexibility to incorporate various embedding algorithms and LLMs\, to create a robust AI ecosystem. - Practical Demonstration: Participate in an end-to-end demonstration within a Jupyter Notebook\, which attendees can revisit and reference post-webinar. It provides a tangible experience on how to create a chatbot on top of your customer support database using Generative AI.

Speakers: - Christian Kurze\, VP Product at CrateDB - Marija Selakovic\, Developer Advocate at CrateDB

How to Build AI-driven Knowledge Assistants with Vector Store, LLMs and RAG

Welcome to our upcoming webinar where we'll delve into the dynamic world of time series data analysis. Join us as we explore effective solutions to common challenges encountered when working with time series data. Be prepared for a live demonstration of CrateDB in action, showcasing essential techniques such as data ingestion, modeling, visualization, and machine learning model training.

What you will learn: - Understanding the complexity of time series data and the importance of contextual information for accurate interpretation. - Initiating and developing your initial time series project with CrateDB\, covering data ingestion\, modeling\, and analysis. - Harnessing CrateDB's distinctive features for storage\, querying\, and in-depth analysis of time series data. - Applying a variety of techniques for data visualization and training machine learning models to extract meaningful insights.

Speakers: - Christian Kurze\, VP Product at CrateDB - Marija Selakovic\, Developer Advocate at CrateDB

➡️ Register for free: https://hubs.ly/Q02l8q_M0

How to Get the Most Out of Your Time Series Data

Welcome to our upcoming webinar where we'll delve into the dynamic world of time series data analysis. Join us as we explore effective solutions to common challenges encountered when working with time series data. Be prepared for a live demonstration of CrateDB in action, showcasing essential techniques such as data ingestion, modeling, visualization, and machine learning model training.

What you will learn: - Understanding the complexity of time series data and the importance of contextual information for accurate interpretation. - Initiating and developing your initial time series project with CrateDB\, covering data ingestion\, modeling\, and analysis. - Harnessing CrateDB's distinctive features for storage\, querying\, and in-depth analysis of time series data. - Applying a variety of techniques for data visualization and training machine learning models to extract meaningful insights.

Speakers: - Christian Kurze\, VP Product at CrateDB - Marija Selakovic\, Developer Advocate at CrateDB

➡️ Register for free: https://hubs.ly/Q02l8q_M0

How to Get the Most Out of Your Time Series Data

Marija Selakovic: Accelerating Query Performance in CrateDB: Unlocking the Power of a Distributed Database

Unlock the full potential of distributed databases with Marija Selakovic as she delves into 'Accelerating Query Performance in CrateDB.' 🚀 Learn effective data distribution and partitioning techniques that turbocharge query execution, applicable not only to CrateDB but to various distributed databases. 📈💻 #DatabaseOptimization #CrateDB

✨ H I G H L I G H T S ✨

🙌 A huge shoutout to all the incredible participants who made Big Data Conference Europe 2023 in Vilnius, Lithuania, from November 21-24, an absolute triumph! 🎉 Your attendance and active participation were instrumental in making this event so special. 🌍

Don't forget to check out the session recordings from the conference to relive the valuable insights and knowledge shared! 📽️

Once again, THANK YOU for playing a pivotal role in the success of Big Data Conference Europe 2023. 🚀 See you next year for another unforgettable conference! 📅 #BigDataConference #SeeYouNextYear

Big Data
DATA MINER Big Data Europe Conference 2020

This demo offers a step-by-step guide on leveraging Debezium and Kafka to replicate data from different databases into CrateDB.

Senior Developer Advocate at Confluent, Danica Fine, will join us and introduce you to Kafka. Following this introduction, our CrateDB experts will present to you Debezium, a distributed platform that turns your existing databases into event streams, and its role in capturing and propagating database changes.

You'll have the opportunity to get detailed instructions from our CrateDB experts for setting up connections for a popular database such as SQL server. Finally, in this demo you'll learn about the practical implementation of data synchronization between SQL server and CrateDB without writing any custom code.

What you will learn

  • Setting up Debezium and Kafka: This demo will guide you through the process of setting up Debezium, an open-source CDC platform, and Apache Kafka, a distributed streaming platform.
  • Replicating Data to CrateDB: We will show how to configure a Debezium connector to replicate data from the source database into CrateDB.
  • Practical demonstration of data synchronization between different database systems: Learn how to replicate changes from SQL Server to CrateDB without having to write any custom code.

📅 July 13, 2023 🕓 04:00–04:45 pm CEST l 🕙 10:00–10:45 am EDT l 🕖 07:00–07:45 am PDT

Speakers Danica Fine, Senior Developer Advocate, Confluent Marija Selakovic, Developer Advocate, CrateDB Hernán Lionel Cianfagna, Senior Solutions Engineer, CrateDB

📢 Make sure to register using this link to be able to join the Live Demo on July 13: https://hubs.ly/Q01WnrtJ0

How to replicate data from other databases to CrateDB with Debezium and Kafka
CrateDB Workshop 2023-06-28 · 12:00

CrateDB Workshop is a hands-on learning experience that introduces the fundamental concepts of CrateDB, a distributed SQL database. This workshop is designed for everyone interested in learning about CrateDB features and how it can be used to store, query and analyze large amounts of data.

The content for this workshop will be divided into four modules. All modules are independent. Feel free to attend individual modules based on your interest and experience:

  • Module 1: 14:00–14:20 CET Introduction to CrateDB and its Architecture
  • Module 2: 14:30–14:50 CET Installing and configuring CrateDB
  • Module 3: 15:00–15:50 CET Inserting and Querying Data
  • Module 4: 16:00–16:50 CET Modeling Data in CrateDB

During the workshop, you will have the opportunity to work with CrateDB in a guided, step-by-step manner. You will learn how to install and set up CrateDB, create tables and run queries. You will also learn about CrateDB’s distributed architecture, how to scale and monitor the database, and how to use CrateDB’s capabilities to perform some advanced data analysis tasks.

What you will learn

  • The fundamentals of CrateDB architecture and its SQL and NoSQL capabilities

  • How to install and set up your CrateDB instance

  • Inserting and querying data in CrateDB
  • How to find a perfect sharding and partitioning strategy for your use case
  • Advanced data analysis: joins, aggregations window functions, and full-text search

By the end of the workshop, you will have a solid understanding of CrateDB's core features and how to use them to build scalable, data-driven applications. You will also have hands-on experience working with CrateDB and be equipped with the tools and knowledge needed to further explore its capabilities.

📅 June 28, 2023 🕒 02:00–5:00 pm CET \| 🕗 08:00–11:00 am EDT \| 🕔 05:00–08:00 am PDT

Speakers Marija Selakovic, Developer Advocate, CrateDB Niklas Schmidtmer, Lead Solution Engineer, CrateDB Hernán Lionel Cianfagna, Senior Solutions Engineer, CrateDB Karyn Azevedo, Solution Engineer, CrateDB

📢 Make sure to register using this link to be able to join the Workshop on June 28

CrateDB Workshop
DATA MINER Big Data Europe Conference 2020
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