Asia Pacific & Japan – Virtual Fundamental Series
Migration Masterclass
Big data modernization for analytics and AI
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 (3-part 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:
30 August: Modernize Your Data Warehouse by Moving to the Databricks Lakehouse
10:30 IST | 13:00 SGT | 15:00 AEST (1 hr)
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:
Co-presenting partner:
**Completed** Migrate Your ETL Pipelines to Databricks and Scale Without Limit
10:30 IST | 13:00 SGT | 15:00 AEST (1 hr)
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:
Co-presenting partner:
**Completed** Making the Migration From Hadoop to Lakehouse a Reality
10:30 IST | 13:00 SGT | 15:00 AEDT (1 hr)
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:
Co-presenting partner:
Featured Speakers
Abhishek Jarwal
Principal Consultant
Celebal Technologies
Kai Yu Lee
Partner Sales Engineer
Fivetran
Rabi Abbasi
Partner Engineer
dbt Labs
JK Wong
Senior Partner Solutions Architect
Databricks
Event Sponsor: Databricks (Databricks Privacy Policy)
Event Co-Sponsor: Microsoft Corporation (Microsoft Privacy Statement)
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