On Demand
Learn about the business and technology trends and business use cases driving the need for data management for advanced analytics. We’ll examine benefits and barriers, plus how these affect user planning and tool choice as well as tool and platform requirements for common use cases.
Philip Russom, Ph.D.
Sponsored by
DataStax, Denodo, Hitachi, Matillion, Oracle, SAP, Snowflake, TIBCO
Sign up to attend the free Virtual Solution Spotlight webinar and learn about how and why successful organizations are modernizing infrastructure and solutions for IT, analytics, data management, cloud data warehouses, data lakes, architecture, and more.
Sponsored by
Informatica Corporation
This webinar discusses important capabilities of the logical data fabric to deal with modern data management and analytics efforts, including data analyst enablement across the hybrid and multicloud data landscape and techniques for seamless real-time data integration there.
David Loshin
Sponsored by
Denodo
Join TDWI and representatives from Talend and Wavicle Data Solutions to learn more what micro-segmentation is, how it works, and why it’s important. Learn about the data, analytics, and architectural requirements to support it and the advanced analytics trends supporting customer behavior analysis.
Sponsored by
Talend, Databricks
Learn about the current state of analytical environments and how innovative technology can be used to solve the adoption problem companies face. We’ll offer tips about a self-service environments and how augmented analytics can make analytics results easier and more accessible.
Claudia Imhoff, Ph.D.
Sponsored by
SAP
Learn how to establish cross-cloud data replication to better work with data assets spread across multiple cloud regions for cloud data warehouses and data lakes. We’ll include tips for data security, privacy, and governance during replication and explore trends for improving data replication.
David Stodder
Sponsored by
Snowflake
Learn what a modern cloud data architecture is, how it provides ready-for-query data for advanced analytics, and why putting most data in a single cloud data architecture enables and simplifies data integration, quality, low latency, compliance, data curation, and trust.
Philip Russom, Ph.D.
Sponsored by
Databricks, Fivetran