Foundation Series:
Cloud Lakehouse Data Management
Target Audiences:
- Data/Analytics Sales Managers and Client Reps
- Practice & Delivery Managers
- Enterprise Solution Architects/Solution Consultants, including presales
- Data Architects & Consultants
- Technical Managers (Project Managers, Project Leads)
- PowerCenter Developers & Testers
- Cloud Data Engineers
| Session 1: Cloud Modernization: Cloud Data Warehouse & Cloud Data Lake |
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Available On Demand |
High-quality data and effective data management practices are key to the success of cloud analytics initiatives. Avoid common mistakes and be the hero by accelerating a move to the cloud with Cloud Modernization: Cloud Data Warehouse & Cloud Data Lake. We’ll show you how to unleash the full potential of cloud data warehouse and cloud data lake projects across multi-cloud and hybrid environments.
Speakers:
Ron Lunasin, Senior Director, Strategic Ecosystems Solution Architecture, Informatica
Richard Ganley, SVP, Global Partners, Informatica
| Session 2: Cloud Modernization: Data Catalog, Data Integration, & Mass Ingestion |
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Available On Demand |
Cloud accelerates analytics initiatives and delivers increased agility, cost savings, and scale—provided data is properly managed across multi-cloud and hybrid environments. Find out why an AI-driven enterprise data catalog is essential to help identify and discover the right data to move to the cloud in Cloud Modernization: Data Catalog, Data Integration, & Mass Ingestion. We’ll build on the topics that we explored in our first session by discussing the fundamentals of a cloud data lake, the underlying architecture involved, how to use automation to move data quickly at scale, and the best way to ingest data.
Speakers:
Richard Ganley, SVP, Global Partners, Informatica
Simon McVeigh, VP, PreSales Product Specialists
Joshua Alpern, VP, Domain Expert Group
| Session 3: Cloud Modernization: Cloud Data Quality & Data Governance |
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Available On Demand |
Poor data quality can your ruin analytics projects. Even worse, it can cause a business to draw incorrect conclusions that can lead to financial loss and customer-satisfaction issues. Learn how to deliver better business outcomes with Cloud Modernization: Cloud Data Quality & Data Governance. We’ll continue to explore the essential requirements for a successful cloud analytics project, focusing on automating and scaling data discovery, automating the creation and execution of data quality rules, applying consistent data quality rules across on-premises and multi-cloud environments, and measuring and monitoring data quality to provide continuous insight.
Speakers:
Richard Ganley, SVP, Global Partners, Informatica
Susan Wilson, VP Data Governance Segment Leader, Informatica
Chris Phillips, VP Product Management, Informatica