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

Modernizing Your Data Pipeline for Better Analytics

The data pipeline is an important part of the analytics ecosystem. This pipeline provides the pathway and processes from data ingestion through movement, cleansing, transformation, loading, integration, preparation, and enrichment of data for analysis. The modern data pipeline involves real-time processing of disparate data, often across multiple clusters. Join Fern Halper, TDWI VP of Research, and Kevin Petrie, Attunity’s Senior Director of Product Marketing, to learn more about the data pipeline and its importance for analytics.

Fern Halper, Ph.D.

Sponsored by Attunity, a Division of Qlik

Ask the Expert about the Role of Data Visualization on Data Validation

TDWI Members Only

In this Ask the Expert webinar, Andrew Cardno will answer your questions about the additional challenges of visualization of data streams that potentially contain unexpected values. In handling unexpected values, we need to consider presentation methods that are able to handle exceptions while still allowing the operators to understand the core datasets.

Andrew Cardno

Delivering Trusted Data for a 360-Degree View: New Strategies for Governance and Master Data Management

Join this TDWI Webinar to learn how you can modernize and improve your strategy for delivering trusted, secure, and well-governed data to meet the demands of self-service analytics and business intelligence (BI). Technologies are changing in key areas such as master data management, metadata, and data preparation, making it important for organizations to revitalize their tools, platforms, and practices.

David Stodder

Sponsored by IBM

Modern Data Warehouse Integration: Bringing Data Together in the Cloud

In this webinar, we contrast the traditional ELT approaches of the past with the agile approaches enabled by high-performance cloud-based systems.

David Loshin

Sponsored by Snowflake

Extending Your Data Warehouse Environment with Hadoop: Bringing Enterprise and External Data Together

View this webinar to learn about these and other ways Hadoop is being used in conjunction with data warehousing. All are meaningful because they help user organizations get greater business value from a widening range of data types, sources, structures, interfaces, and containers.

Philip Russom, Ph.D.

Sponsored by SAP

Making Predictive Analytics Work – 5 Keys to Successful Model Deployment and Management

This webinar focuses on five keys to successful model deployment, management, and the current state of predictive analytics/machine learning.

Fern Halper, Ph.D.

Sponsored by Alteryx

Ask the Expert on The UX Guide to Analytics

TDWI Members Only

In this Ask the Expert webinar, Nick will lead attendees through a journey of what processes and methodologies the world’s leading analytics consulting firms use to maximize adoption, reduce risk and achieve business value through behavioral change. Nick will then answer any questions you have on how to leverage all or parts of the process into your own analytics processes.

Nicholas Kelly