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

Modern Data Architectures to Support Modern Analytics

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Thursday, July 12, 2018

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

Many organizations today are scrambling to meet the needs of new data types and analytics. TDWI research shows that companies are often analyzing data from multiple sources, including structured data, unstructured data, real-time streaming data, location data, and transactional data. They are making use of new techniques such as text analytics and machine learning, and they are moving towards self-service analytics. The traditional data warehouse or data mart is often limited in its ability to support these modern analytics in a fast and friendly way. That means that many organizations are looking to modernize their data environment to become more scalable and flexible to support organizational demands for analytics. Modernization may involve using features previously untapped, such as in-memory databases, in-database analytics, data federation or virtualization, or the cloud.

Join this webinar to hear from a lively panel of experts, including a representative from Dell, about the journey to both self-service and advanced analytics utilizing a modern architecture.

Topics will include:

• Important trends in modern data environments
• Requirements for modern analytics
• How analytical data marts can help provide a flexible environment for analytics as part of a data architecture
• Benefits achieved by Dell including lowering BI costs by 50%

Fern Halper, Ph.D.

Dell EMC, SAP and Intel