Webinar
Watch this recording on how Datapebbles use Kafka, CrateDB, and Coreflux to work together to power real-time IoT analytics. Learn how to seamlessly ingest, process, and analyze data from millions of connected devices while ensuring low latency and high availability.
Webinar
Manufacturing with IoT (Industrial IoT or IIoT) faces several challenges when it comes to costs of poor quality and reducing time to action—the time it takes for data to be collected, analysed, and acted upon. Watch the recorded webinar from CrateDB and Axcess.io to discover how “Agent 1952” solutions power GenAI integration, leveraging real-time data and actionable insights to drive operational efficiency.
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Discover how a modern and sustainable approach to AI and IoT, built on principles of context, unification, and flexibility, can empower your business. Learn how companies are leveraging cutting-edge technologies to manage and analyze massive IoT datasets in real time, unlocking intelligent decision-making and operational efficiencies.
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In wildfire emergencies, real-time data is critical for rapid response and resource allocation. Watch this webinar recording where CrateDB and Data Max explore how advanced geospatial and full-text search capabilities can enhance emergency response efforts.
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Watch this roundtable webinar to explore how real-time analytics enhance energy operations, enabling grid optimization and renewable integration to meet today's challenges in the energy industry.
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Learn to integrate MongoDB with CrateDB Cloud using Change Data Capture, analyze data with SQL, and visualize updates in Grafana for real-time insights.
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Learn how AI is reshaping data strategies: Find out how to adapt your architecture for AI, balancing structured and unstructured data.
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In this webinar recording Simon Prickett reveals how to unlock text and image data trapped in PDF files and search it using the power of AI and CrateDB.
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Watch this webinar recording and learn how CrateDB empowers you with real-time insights into your data to fuel advanced analytics, search, and AI models—enabling informed decisions that drive meaningful impact.
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Unlock the power of semantic search by watching this ingsightful webinar where Simon Prickett, Senior Product Evangelist CrateDB, highlights CrateDB's ability to integrate various data types (text, geospatial, vectors) for hybrid search using SQL, enabling faster, more contextually relevant results.
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This session delves into the challenges of managing vast amounts of data and demonstrates how real-time analytics can transform raw data into valuable insights. Learn how modern data management solutions enable manufacturers to optimize production, improve operational efficiency, and drive innovation. From harnessing data streams in real-time to leveraging AI-powered analytics, this session will equip you with the tools to master data management and make faster, data-driven decisions.
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Unlock the power of real-time data and analytics by watching this insightful roundtable discussion featuring experts from MongoDB, CrateDB, Decodable, and GridGain. Get practical strategies for implementing real-time data and analytics
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Watch this webinar to learn why CrateDB is a perfect [Rockset] replacement for real-time analytics and hybrid search.
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Watch how TGW, a global leader in logistics automation, digitally transformed warehouse operations using Azure.
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In this recorded webinar, you will dive into the dynamic world of time series data and discover how to solve most problems faced when analyzing time series data.
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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.
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This demo offers a step-by-step guide on leveraging Debezium and Kafka to replicate data from different databases into CrateDB.
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In this interactive live demo, learn, step-by-step, how to use Prometheus and Grafana with CrateDB Cloud.
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To develop a real-time monitoring solution, O-CELL needed a scalable and fault tolerant database with a flexible data schema storage upgrades and ease of use for deploying additional resources. Being their database since an early stage, CrateDB has adapted to O-CELL business needs, offering scalability, reliability and speed, essential for real-time monitoring.
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Time-series data and analysis can help businesses understand patterns, trends, and causes over time. This is crucial for business success. In this webinar, Crate.io’s Solution Engineering team will guide you through the implementation steps of a time-series use case - from table layout to querying.
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SPGo! By PETROMIN, has developed a system that allows monitoring mining material conveyor belts with more than 40,000 sensors in real-time and 760 million records per day.
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In this joint webinar with Bitmovin our speakers will share Bitmovin’s experience, challenges, and why they chose CrateDB as the best solution for their business.
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In this joint German webinar with TGW Logistics, Alexander Mann explains why they chose CrateDB after trying multiple database systems.
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After trying multiple database systems, TGW Logistics moved to CrateDB for its ability to aggregate different data formats and ability to query this information without much hassle.
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Learn how Gantner relied on CrateDB to analyze the large amount of data generated by the project in real-time and to improve the processes through machine learning.
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In this webinar, we will discuss how to use different visualization options in Superset coupled with a SQL interface to derive interesting insights and findings from the time-series dataset.
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First-hand insights from Thomas Concrete Group about the advantages of working with CrateDB for different use cases with real-time IoT data.
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Learn why it’s important to be an early adopter of industrial loT practices and how projects can successfully be monitored, measured and optimized using the right database.
Webinar
This webinar shows how Wazuh and CrateDB work together to detect and respond to security events in real time, with a live demo of their data collection, alerting, and fast querying across large log datasets.
White Paper
Data teams today face growing challenges—expanding data volumes, diverse sources, and the need for instant insights. A Real-Time Unified Data Layer seamlessly integrates analytics, search, and AI, eliminating data silos and enabling faster, smarter decision-making. Discover how it transforms your data strategy.
White Paper
Download the white paper for insights and strategies to enhance your AI capabilities. Build a strong data stack to enhance your AI initiatives by addressing key challenges and leveraging essential technologies for effective decision-making and innovation.
White Paper
The digital era demands a new approach to data management. This report provides an in-depth look at the evolving landscape of data architecture and offers actionable insights to build a future-proof data infrastructure.
White Paper
Is your data scattered across multiple clouds and on-premises systems? Are you struggling to leverage it for AI and real-time analytics? This document provides a clear roadmap for modernizing your data management in hybrid and multi-cloud environments.
White Paper
Download this report to discover how to build a future-proof data backbone for real-time AI success.
White Paper
This white paper examines how the rise of AI is forcing businesses to rethink their data architectures in order to stay ahead of the curve in 2025. The paper dives into three fundamental architecture approaches — centralized, hybrid, and decentralized — and analyzes key trends like AI-powered real-time analytics, multi-model databases for hybrid search, and distributed databases for scalability.
White Paper
Businesses—especially more full-blown digital enterprises—are constantly evolving and changing, sometimes on a daily basis. That means unending stresses and strains on databases, their data environments, and the people who run them. Download this report to read about solutions for speed, scale and flexibility. Explore the unique approach of CrateDB: Index Everything, Query Anything! In Real-time!
White Paper
This white paper presents a comparative analysis of CrateDB and InfluxDB, two leading open-source databases for managing time-series data at scale. While both databases offer functionalities for handling time-stamped data, they differ in their scope, query language, and performance characteristics.
Infographic
This infographic shows you the key benefits of CrateDB as database for real-time analytics and hybrid search.
White Paper
Part 3 of the Guide for Time Series Data Projects goes through time series data visualization and advanced analysis through machine learning.
White Paper
This part examines how CrateDB's unique indexing and storage features enhance data retrieval and analysis.
White Paper
This white paper explores how CrateDB provides a scalable platform to build Generative AI applications that cover the requirements of modern applications, such as AI-driven knowledge assistants.
White Paper
Discover how CrateDB enables real-time AI solutions by unifying data, offering high performance, scalability, and flexibility. Harness the power of AI for instant decision-making.
White Paper
This comprehensive guide covers everything you need to know to get started with a time series data project.
White Paper
In this white paper, we explore the challenges that arise when using multiple technologies to handle different data types and how CrateDB can consolidate and streamline these processes.
White Paper
This white paper contains 8 essential things you need to know about time-series databases.
Infographic
This infographic shows you what to look for when choosing a vector database, and more.
White Paper
This comprehensive guide covers all key concepts you need to know about CrateDB's architecture. This will help you better understand what makes it so performant, scalable, flexible and easy to use. You will then be able to make the best decision on when to use CrateDB for your data projects.
Infographic
To help you make the right decision, here’s six things to consider when choosing a database for your next data project.
White Paper
In this whitepaper, we will explore three real-life use cases demonstrating the power of IoT technology based on CrateDB.
White Paper
TGW simplifies aggregating massive volumes of diverse data with CrateDB, gaining valuable insights to improve customer experience and competitive advantage
White Paper
While IIoT adoption does require a new approach to managing and analyzing data collected in real-time, this isn’t as difficult as many manufacturers believe.
White Paper
Learn how to build IoT applications using an open-source stack: Apache Kafka, Apache Flink and CrateDB.
Video
Watch this keynote from Shiva Pullepu at the DBTA Data Summit in Boston, titled Unlocking Your AI Potential with Real-Time Data Unification. In this session, you'll learn how to simplify working with data and overcome key challenges such as data silos, growing data volumes, multiple formats (including vector data), and the impact of emerging technologies like Generative AI.
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Watch Bitmovin’s journey from a startup to a global leader in video analytics, handling real-time data streams for some of the world’s biggest live sporting events. Learn how CrateDB enabled Bitmovin to scale seamlessly, ensuring fast, reliable, and actionable insights while managing massive data volumes with confidence.
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From NoSQL to Real-Time Insights: Unlocking MongoDB Data with CrateDB CDC
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Explore the resilience of CrateDB for real-time data streaming in a demonstration of node failure scenarios. This video illustrates the capabilities of a distributed CrateDB cluster to maintain operational continuity during both a graceful shutdown and an abrupt unavailability of a database node within a 3-node configuration. Witness firsthand how continuous data ingestion is sustained, underscoring CrateDB's inherent high availability.
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In this Raspberry Pint meetup recording, Simon Prickett discusses CrateDB, demonstrates data modelling and queries, and shows how to collect sensor data using Raspberry Pi Pico W and MicroPython
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This talk examines how CrateDB can handle various types of data, including structured, semistructured, unstructured, time series, geospatial, and vector data, using a real-world example of offshore wind farm data.
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This video is a recording of Simon Prickett's talk about CrateDB at the Austin, DC, and Northern Virginia Python groups' "An Evening of Python Coding" event on January 22nd, 2025.
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Step into the future of database technology with our latest podcast, where CrateDB's innovative real-time analytics capabilities are brought to life by AI-generated voices. Learn how CrateDB is transforming industries by handling massive data streams, providing real-time insights, and seamlessly integrating with AI.
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In this video, CrateDB's Senior Product Evangelist, Simon Prickett, shows different types of sensors sending data to CrateDB from MicroPython, along with showing aggregations and dashboards.
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This talk given at the AI & Big Data Expo Amsterdam 2024 looks into specific problems faced in the management of e-scooter ride-sharing systems in major cities and demonstrates how through its IoT platform, CrateDB effectively tackles these challenges.
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This talk will teach you how to receive and make sense of messages from aircraft in real time using an ADS-B receiver / software defined radio. You'll see how to decode the messages, store them in a CrateDB database, and make sense of them.
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Creating a hybrid search service with Open Source technologies (Python, CrateDB, OpenAI* and vue.js)
In this talk in Spanish we will dive into why searching information is hard, have a quick overview on different simple solutions and also more interesting and powerful solutions like fulltext search, vector search. We will then apply what we learned to create a Hybrid Search solution.
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This video shows step by step how to build an AI-powered chatbot using LangChain to connect to the different LLMs and CrateDB to store embeddings and run similarity searches against them.
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How TGW Revolutionizes Warehouse Operations with CrateDB's Combination of Time Series, Documents, and Vectors
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In this video, we explore the integration of CrateDB and PyCaret to detect anomalies in machine data, crucial for identifying potential failures or inefficiencies in technological systems.
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In this video you will see how time series data can be combined with any other data type thanks to the multimodal approach of CrateDB.
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This introduction video gives you a quick overview what CrateDB is.
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This tutorial shows how sharding and partitioning in CrateDB enhance time series data storage and improve performance.
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This tutorial shows that CrateDB supports not just time series, but JSON, Geospatial, Vectors, and Full-Text Search, and how to query different data types.
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This tutorial explores the real-life challenges of time series data such as volume, velocity, variety, and veracity, and discusses CrateDB's effective solutions.
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This tutorial explores how CrateDB manages time series by querying data in milliseconds, utilizing simple SQL, combining various data types, handling high ingest rates, and storing extensive historical data.
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This tutorial delves into time series data's characteristics and how CrateDB facilitates real-time complex queries crucial for analyzing such data.
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This talk focuses on the synergistic combination of CrateDB and LangChain: it helps to get started with using private data as context for large language models through LangChain, incorporating the concept of Retrieval Augmented Generation (RAG).
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Alexey Grigorev from Data Talks Club talks to CrateDB's Solution Engineer Karyn Azevedo about the capabilities and features of CrateDB including a live demo.
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This keynote explores how a modern multi-model database approach tackles the business challenges like diverse data types and volumes by converging operational and analytical data, providing business context, and enabling real-time AI insights.
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In this presentation, we demonstrate how TGW leverages CrateDB to build digital twins of physical warehouses around the world.
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In this first module, Marija Selakovic, Developer Advocate at CrateDB, will introduce you to CrateDB architecture and its SQL and NoSQL capabilities.
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In this second module, Niklas Schmidtmer, Lead Solution Engineer at CrateDB, will show you how to install and configure CrateDB to get started.
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In this third module, Hernán Lionel Cianfagna, Senior Solutions Engineer at CrateDB, will show you how to insert and query data in CrateDB.
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In this fourth module, Karyn Azevedo, Solution Engineer at CrateDB, will show you how to model data in CrateDB.
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In this fifth module, Marios Trivyzas, Senior Software Engineer at CrateDB, will show you how to further optimize your queries.
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Achieving optimal execution plans in distributed databases is a challenging task. This talk is focusing on CrateDB: a distributed SQL database, and key strategies for optimizing its query performance.
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In this talk, Marko Sommarberg, Lead Digital Strategy and Business Development at ABB, and Christian Lutz, Co-Founder at CrateDB explain how ABB Ability™ Genix applies AI and analytics to unlock the value of industrial data using CrateDB.
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A practical guide to building a real-time analytics pipeline with CrateDB and Apache Kafka
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Ingesting and querying JSON documents with SQL in CrateDB
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This is the full recording of the second CrateDB Community Day. An event where developers from all over the world connect, share knowledge in short (but fun) talks.
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Marija Selakovic and Marios Trivyzas explain CrateDB in detail as part of the Carnegie Mellon University database seminar series 2022.
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In this video, we show you how to update stock market data automatically with CrateDB and Airflow.
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Georg Traar, Head of Customer Engineering at Crate.io, participated in the panel discussion "Data & Connectivity: how safe is industrial data?"
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In this talk, we discuss how different data properties affect solutions for data storage, data retention, and data integration.
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Discover how to monitor your cluster to avoid unpleasant surprises, as Marios shares his best practices to keep your cluster healthy at all times!
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Romanas demonstrates how to start and scale the new cluster, how to implement logical replication, run data ingestion, and understand the real costs behind CrateDB Cloud.
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Learn how to get started using Apache Airflow and CrateDB in this introductory talk by Tamara Fingerlin, Developer Advocate at Astronomer.
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In this talk, Daniel explains how Bitmovin uses CrateDB to monitor the most significant live video events and especially which features they are using to address their monitoring and scalability challenges.
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In this talk, Candelario A. Gutierrez from the University of Alberta talks about how we leverage CrateDB into their platform for analyzing social-platform data.
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Christian Lutz, founder of Crate.io, is talking about our journey with CrateDB.
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In our Getting Started with CrateDB tutorial we will show you how to run CrateDB on-premises and how to easily interact with it
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Learn how to use Metabase together with CrateDB Cloud
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This talk will illustrate how easy it is to automate orchestration workflows with Apache Airflow and CrateDB.
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In this video, we explain how to build your own User-Defined Function step-by-step.
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In this video, you will learn the basics of CrateDB Objects.
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This tutorial presents the basics of COPY FROM and COPY TO in CrateDB.
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This video explains why you would use CrateDB for metric storage and shows you how to start Prometheus, CrateDB, and CrateDB Prometheus Adapter with docker-compose.
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In this interview, Arno Breuss, CIO of Rauch Fruchtsäfte, talks about how Rauch is filling 33 cans per second and how that adds up to 400 data records per second which are being processed, stored, and analyzed.
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In this interview, Jürgen Sutterlüti, VP of Gantner Instruments, explains how big the data sets of their customers are and why they need to be accessible in real-time while also being stored for decades.
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Marija Selakovic, Developer Advocate at Crate.io, held a talk at WeAreDevelopers World Congress 2022 in Berlin with the title "CrateDB: A Database or a Search Engine? Both!"
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Alexander Mann, Digital Corre, of TGW Logistics, talks in this interview about advanced analytics for automated warehouses TGW is operating across the globe for customers like Amazon, Coop, and Zalando.
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The key to the successful operation of warehouses lies in having a holistic view on the entire system based on data from various components. This talk from Alexander Mann, Digital Core TGW Logistics, is about how this data can be retrieved, transformed, and stored in a central place and how to link it with the static site topology so that useful information can be provided.
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This talk shows the data utilization efforts in the Rhomberg group: how they try to make their company more data-driven and build intelligent systems to support the core business.
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In over 60 personal interviews covering more than 20 large industrial companies in Switzerland, Austria and Germany, Zühlke took a deep dive into these questions and found a surprisingly consistent picture of blockers and success factors. Andreas Pfleger, Business Development Manager at Zühlke, presents the results.
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In this talk, Simon Mayer, Professor of University of St. Gallen, gives an overview of two current research projects that are being conducted at the Institute of Computer Science of the University of St. Gallen.
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For data-intensive applications, the database and cloud (or on-prem) resources are the critical components - and performance and cost are the key SLAs. In this talk Daniel Seybold, CTO benchANT, shares his experience and shows how this process can be simplified and made more efficient through cloud database benchmarking.
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In this talk, Franziskos, CEO 7lytix, shows various examples of where demand forecasting and planning are important in industries such as retail and supply chain, how to do it properly and how the value of machine learning shows when it comes to predictive accuracy.
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Across almost all industries, the growing number of IoT devices, increasing interoperability between systems and data transfer across companies continuously attracts more and more attackers to not only steal or encrypt data but also actively tamper it. In this talk Thomas Plank, CEO Tributech, talks about data notarization to establish credible trust when it comes to data.
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Crate.io brought together regional thought leaders, customers, and partners to equip the attendees in the Dornbirn offices with the technical know-how, practical advice, and expert insights on connecting data insights to business outcomes.
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Marija Selakovic, Marija Selakovic, Developer Advocate at Crate.io, explains at FOSDEM'22 how we made distributed Joins 23 thousand times faster.
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Eva Schönleitner, CEO Crate.io, and Bas Boorsma, Chief Digital Officer City of Rotterdam, talk at the Sensors & IoT Conf 2021 about the challenges with data in smart buildings and what are the technologies necessary to fuel opportunities. See how CrateDB streamlines information and tailors data access to deliver real-time information when it's needed.
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Ash Fontana, author of The AI-First Company: How to Compete and Win with Artificial Intelligence, talks to Christian Lutz, Founder and President of Crate.io about how to transform a company into an AI-first company.
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Crate.io's CEO Eva Schönleitner, President Christian Lutz, and CTO Bernd Dorn are talking about why Crate.io open sources the entire codebase of CrateDB with version 4.5.
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Dr. Federico M. Facca talks about using CrateDB in an open-source project "CrateDB in the Wild with Quantum Leap"
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During the Open Source Release Event of CrateDB v4.5 we hosted a panel discussion and discussed "What it means to align with open source values"
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In this webinar we build an automation workflow for industry 4.0 using n8n and CrateDB.
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Johannes Moser presents what CrateDB can do, showing it live in a demo
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Christian Lutz chats with Maggie Miller during the IoT World conference in Santa Clara, California
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Sheriff Mohamed and Marcus Briggs, engineers at GolfNow, talk about CrateDB and their experience with it