DATA + AI SUMMIT | EUROPE
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free and on demand
free and on demand
The Modern Data Platform for Manufacturing
The lakehouse vision brings manufacturing transparency, enhanced planning, and prevention to the factory floor. It is the ideal data architecture for data-driven organisations. It builds on the best qualities of data warehouses and data lakes to provide a single data lake–based architecture for all major data use cases from streaming analytics to BI, data science and AI.
Delta Lake Hands-On Lab
Delta Lake is an open source storage layer that brings reliability to data lakes. In this virtual hands-on lab, you will learn how Delta Lake works and how to use it to build simpler, more reliable data pipelines. We’ll also give you a live demo of SQL Analytics on Databricks to show you how easily data analysts can query all your Delta Lake data.
Free hands-on training with Databricks Bootcamp
The upcoming Databricks Learning Series offers free, hands-on labs that will demonstrate how you can use Databricks' unified data platform to store and manage all of your data and support all of your analytics and AI use cases. Available online, you will come away with a deeper understanding of how to combine the best of data warehouses and data lakes into a lakehouse architecture, giving you one platform to collaborate on all of your data, analytics and AI workloads.
Data Science with Azure Databricks Workshop
Join Databricks and Microsoft to learn how to leverage Azure best practices for implementing a complete data science lifecycle, enabling data teams to scale effectively using Azure Databricks, MLflow and other Azure services.
Modern Data Engineering with Azure Databricks
In this workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your Azure investments to make your data lake analytics ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.
Migrieren Sie Ihre Big Data Workloads in die Cloud mit Azure Databricks
In diesem Webinar erfahren Sie, warum erfolgreiche Unternehmen auf moderne, Cloud-basierte Plattformen wie Azure Databricks umsteigen, um Innovation, Produktivität und Geschäftsergebnisse zu steigern. Wir präsentieren ein Best-Practice-Framework für die sichere Migration von Daten und Workloads zu Azure.
Data + AI for Financial Services
Join us in this financial services workshop and learn data and AI strategies on how leading organizations like HSBC leverage advanced analytics to scale data analytics, become more customer-centric, minimize risks, prevent fraudulent behavior and drive sustainable value creation.
Using SQL to Query to Data Lakehouse
This in-person workshop will dive deep in the Lakehouse architecture, which combines the best elements of data lakes and data warehouses, giving your organisation a single consolidated system that democratises data and insight. This is suited for SQL analysts/ developers and enterprise architects who want to get hands-on experience and a deeper knowledge of the benefits of using SQL on the Databricks Unified Data Analytics Platform. Seating is limited, available on a first-come, first-served basis (via registration).
Delta Lake Hands-On Lab
Join this virtual hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale. Delta Lake is an open source storage layer that brings reliability to data lakes. It has numerous reliability features including ACID transactions, scalable metadata handling, and unified streaming and batch data processing. It also offers DML commands to update, delete, and merge data for your data lifecycle, such as for GDPR/CCPA.
AWS | Databricks Machine Learning Dev Day
In this virtual workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your Data and ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.