TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Using DataOps for Data Pipeline Engineering Quality

The more apps you have, the more complex it is to develop and test data pipelines to ensure the quality of the data flowing through them. Learn DataOps concepts and how DevOps can automate key aspects of data pipeline quality and ongoing monitoring across the entire data life cycle.

David Loshin

Sponsored by iCEDQ

Cloud Data Management

Keeping data in the cloud offers massive capacity at low cost but raises many common data management issues, including administration, integration, and security. We’ll examine the drivers, trends, benefits, barriers, platforms, tools, and key business use cases for cloud data management.

Philip Russom, Ph.D.

Sponsored by Actian, Couchbase, Datameer, Denodo, Hitachi, SAP, Snowflake, Trifacta

Preparing for Cloud Migration

Migrating applications to the cloud promises numerous benefits, but for many enterprises, it’s a highly complex move. This webinar examines why you should formalize expectations, assess on-premises operational context, analyze process workloads, and estimate cloud migration costs.

David Loshin

Global Data Management in the Cloud

Explore real-world business use cases for managing and distributing data worldwide, the roles of (multi)cloud data management, the importance of cloud-agnostic solutions, the emergence of geographically dispersed architectures for distributed data, and data and performance requirements.

Philip Russom, Ph.D.

Sponsored by Couchbase

Cloud Data Warehouse Modernization

Is it time to reassess your current business processes and future demands to liberate your legacy data warehouse? Learn key modernization steps as you explore data discovery, data catalogs, self-service data access, and other key cloud DW features that let you deliver trusted, quality data.

David Loshin

Sponsored by Informatica Corporation

How to Modernize Data Lake Technologies with Cloud-Based Solutions

What are data lakes and what can they do for your organization? We’ll look at real-world use cases in data warehousing, analytics, self-service data practices, and operations, the benefits of hosting them on cloud platforms, and where data lakes are heading.

Philip Russom, Ph.D.

Sponsored by Snowflake

Building a Modern Operational Data Warehouse: Seven Tips for Success with Hybrid Data

How do you get full business value from hybrid data with a modern operational data warehouse (ODW)? Learn how an ODW unifies hybrid data from multiple sources to provide analytics insights rapidly and how an ODW incorporates tech innovations such as columnar data and cloud services.

Philip Russom, Ph.D.

Sponsored by Actian