Navigate Economy Hurricane With a Modernized Data Warehouse

Today it is common knowledge that organizations must embrace the cloud if they want to leverage AI to get the most from their data. However, many organizations and their data are still trapped in on-premises data lakes. They struggle with high maintenance costs, system complexity, unscalable infrastructure and a heavy DevOps burden, and the inability to use machine learning and analytics/BI at scale is a major challenge — which means game-changing insights and innovation remain a pipe dream. When every passing minute becomes a missed opportunity in a highly digital world, a legacy data and analytics platform that only supports some of your business is no longer acceptable in today's competitive, fast-paced business environment. 

Join our Migration Masterclass Series and learn how to migrate your existing data warehouses, Hadoop and ETL tools to a modern cloud-based data platform. Hear how enterprises can improve TCO through a unified platform with successful migration strategies. Our expert instructors will share best practices and guide you through real-world examples of how enterprises are unleashing the power of highly scalable big data with cloud-based alternatives like the Databricks Lakehouse Platform — a simple, open and multicloud platform for all your data, analytics and AI needs. 

Learn how organizations are benefiting from a modern data infrastructure by:

• A 70% reduction in operational costs and a 2x faster pipeline
• Lowering infrastructure costs by $900K
• Reducing ETL pipeline SLA from 7 hours to 40 minutes 

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ON-DEMAND: Modernize Your Data Warehouse by Moving to the Databricks Lakehouse

Reduce costs, innovate faster and simplify your data platform by migrating to the Databricks Lakehouse from your enterprise data warehouse or legacy data lake. In this session, the Databricks team will present both the best practices and the tooling to migrate – you can run all your data, analytics and AI workloads on a modern unified platform, built on open standards and secured with a common governance approach.

Key learnings:

• Why Databricks Lakehouse over a data warehouse
• Actual benefits gained by customers through modernizing to the Lakehouse
• Proven migration strategy used by our customers

Co-presenting partner:

Related Webinars

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12 October: Future-Proof Your Data Strategy With Lakehouse

This is an in-depth technical follow-up session where you can gain hands-on experience with Databricks SQL and Unity Catalog, and learn how to seamlessly operate the Lakehouse Platform just like a traditional data warehouse. We highly recommend registering for both sessions to embark on a comprehensive educational journey. 

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ON-DEMAND: Migrate Your ETL Pipelines to Databricks and Scale Without Limit

With the ever-increasing amount of data generated by businesses from various sources, managing, storing and processing data efficiently is essential. Explore how Databricks data engineering can help address the challenges of modern data management platforms to process ETL (extract, transform, load) faster and more manageably. You'll also be introduced to the migration tool and accelerators available to make migrating to Databricks hassle-free. 

Key learnings:

• Challenges for modern data management platforms
• Key features in Databricks data engineering that accelerate and simplify the ETL pipeline
• Migration tool and accelerators for ETL

Co-presenting partner:

(TECHNICAL)

ON-DEMAND: Streamline Your ETL Pipeline with Databricks Lakehouse

Explore how Databricks data engineering can help address the challenges of modern data management platforms to process ETL (extract, transform, load) faster and more manageably. Gain practical experience with essential Databricks features for pipeline development, enabling you to create robust and efficient pipelines to fulfill your data processing requirements. Specifically focus on Delta, Delta Live Tables (DLT) and Workflows, showcasing their usefulness. 

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On-Demand: Making the Migration From Hadoop to Lakehouse a Reality 

Learn why successful organizations are switching to modern, cloud-based platforms like Databricks to drive innovation, productivity and business outcomes. Leave with a best practice framework for safely and securely migrating data and workloads to Databricks.

Key learnings:

• Strategies for leveraging cloud-based data and analytics to drive business value
• Real-world benefits experienced by companies that have successfully migrated from legacy infrastructure
• Best practices for planning and structuring a migration project to minimize risks and avoid delays

Co-presenting partner:

Featured Speakers

Event Sponsor: Databricks (Databricks Privacy Policy) 

Event Co-Sponsor: Microsoft Corporation (Microsoft Privacy Statement)

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