DATA + AI SUMMIT 2021
The global event for the data community
CDAO Summit Online 2021 ASEAN
Join this online 2-day event tailored for data and analytics leaders. On 30th June, hear from Chris D'Agostino, Global Principal Technologist at Databricks, how the lakehouse architecture offers a simple, open, and collaborative platform to unify all your data, analytics, and AI workloads -- increasing your data team’s productivity to get new initiatives to market faster. Plus, you’ll get to learn from real-world use cases and best practices -- brand leaders such as Atlassian, Udaan, and Grab, are leveraging the lakehouse architecture to ease data governance, reduce cost, as well as increase collaboration across data engineering, data science, and data analytics.
Azure Databricks Essentials Workshop
The Azure Databricks Essentials workshop is now coming to you Virtually! Customers & Microsoft Partners who are planning on building out a use case in Azure get an introduction to the Unified Analytics Platform Azure Databricks. The output of this day will be the base understanding on how to setup, use and collaborate on Azure Databricks so that steps can be made to implement a use case.
Competing On Analytics: Discover the transformational value of Data + AI
Almost all organisations these days are leveraging data and analytics to drive their business forward. Yet, comparatively few organisations have made the strategic shift necessary to become analytical competitors. The extent to which organisations compete on analytics is determined by the presence of four key pillars and the perceived value of analytics.
Data Management: The Good, The Bad, The Ugly
Join us on June 29 or June 30 to discover how Databricks simplifies data management — from data processing with ETL to data governance — and why that makes the lakehouse architecture a reality. Discover how to take control of all your data with the right cloud data platform.
One Open Platform for All Data, Analytics and AI
In this live workshop, we’ll discuss how to get started with an open lakehouse architecture with Databricks on Google Cloud. You’ll learn how to set up a data lakehouse that is reliable, highly scalable and performant for all big data engineering, streaming, data science and machine learning, SQL Analytics, BI and reporting workloads. Along the we dive into the integrated analytics capabilities between Databricks and Google Cloud, including Google Cloud Storage, BigQuery, Looker and AI Platform.
Big Data Breakfast: Scalable Cyber Defense in the Cloud Age
In this live workshop, we’ll share how the Databricks Lakehouse Platform empowers government agencies to execute their missions while managing cyberthreats with confidence. You'll also learn about the rise of the lakehouse architecture and impact on cybersecurity. Then, we will cover how high-performance analytics at petabyte scale can improve your security posture. Finally, we will show you how Databricks can augment your Splunk pipelines for real-time cybersecurity.
Modern Data Engineering With Azure Databricks
In this workshop, we’ll cover best practices to help organizations use powerful open source technologies so you can build and extend your Azure investments and 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.
Databricks Lakehouse Hands-on Workshop
A data lakehouse combines the best of data warehouses and data lakes into a single, unified architecture that can serve all data use cases — including BI, streaming analytics, data science and machine learning. In this workshop, you’ll get an overview of how Databricks enables you to build a lakehouse architecture that delivers data warehouse performance with data lake economics, all powered by open source technologies.
Data Management: The Good, The Bad, The Ugly
Join us on July 15 to discover how Databricks simplifies data management — from data processing with ETL to data governance — and why that makes the lakehouse architecture a reality. Discover how to take control of all your data with the right cloud data platform.
Healthcare and Life Sciences Workshop: Extract Real-World Data with NLP
Join this virtual workshop to learn how to extract patient insights buried in clinical text with NLP solutions from Databricks and John Snow Labs Inc., a leader in Healthcare AI and the creator of SparkNLP. Specifically, we’ll showcase how to use NLP to automate the removal of sensitive PHI and generate real-world evidence from oncology reports.