Cloud Data Warehouse & Data Lake Modernization Foundation Series

The Cloud Data Warehouse & Data Lake Modernization Foundation series offers you the very latest training and the opportunity to become Cloud Data Warehouse & Data Lake Modernization 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 Data Warehouse & Data Lake Modernization” certification.

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Session 1: Cloud Data Warehouse & Cloud Data Lake

Cloud Modernization: Cloud Data Warehouse & Cloud Data Lake

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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.

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

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

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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.

Session 3:  Cloud Data Quality & Data Governance

Cloud Modernization: Cloud Data Quality & Data Governance

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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.