The Informatica Cloud Lakehouse Data Management Foundation series offers you the very latest training and the opportunity to become Cloud Lakehouse Data Management certified to Foundation Level. Complete the series and pass the related quizzes to earn a certification badge that you can post on your LinkedIn profile.

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
Certification: After successfully answering the quiz questions (with a score of at least 80%), participants will receive “Cloud Lakehouse Data Management Foundation Level” certification.

Session 1: Cloud Modernization: Cloud Data Warehouse & Cloud Data Lake
Cloud Modernization: Cloud Data Warehouse & Cloud Data Lake

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

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Session 2: Cloud Modernization: Data Catalog, Data Integration, & Mass Ingestion
Cloud Modernization: Data Catalog, Data Integration, & Mass Ingestion

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

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Session 3:  Cloud Modernization: Cloud Data Quality & Data Governance
Cloud Modernization: Cloud Data Quality & Data Governance

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

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