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RESEARCH & RESOURCES

Featured Webinars

  • Data Management and Data Warehouse Requirements for Machine Learning and AI

    This webinar will define ML and related technologies and practices in AI and predictive analytics, discuss ML’s use cases, explain data management requirements users must address to successfully apply ML to their analytics, and explain the ML life cycle and the unique data requirements of each stage. November 20, 2019 Register

  • The Why and How of Multicloud Environments

    Learn what a multicloud architecture is all about and why it is becoming popular, explore the benefits, challenges, and best practices for a multicloud environment. November 21, 2019 Register

  • Modern Data Sharing for Better Analytics

    Like most practices in data management and analytics, data sharing technology is being used to satisfy new business requirements for collaboration, data science, analytics, data monetization, and sales and marketing. This webinar explores trends and innovations in data sharing. December 3, 2019 Register

Upcoming Webinars

  • Data Management and Data Warehouse Requirements for Machine Learning and AI

    This webinar will define ML and related technologies and practices in AI and predictive analytics, discuss ML’s use cases, explain data management requirements users must address to successfully apply ML to their analytics, and explain the ML life cycle and the unique data requirements of each stage. November 20, 2019 Register

  • The Why and How of Multicloud Environments

    Learn what a multicloud architecture is all about and why it is becoming popular, explore the benefits, challenges, and best practices for a multicloud environment. November 21, 2019 Register

  • Modern Data Sharing for Better Analytics

    Like most practices in data management and analytics, data sharing technology is being used to satisfy new business requirements for collaboration, data science, analytics, data monetization, and sales and marketing. This webinar explores trends and innovations in data sharing. December 3, 2019 Register

  • Five Strategies for Modernizing Data Warehousing via the Cloud

    The cloud is rapidly moving to the forefront for modernizing data warehousing and related data management to support analytics, Learn how to create the right strategy for modernizing data warehousing and related data management by bringing them into the cloud. December 5, 2019 Register

  • Empowering Users with Intelligent, Governed Self-Service Data Preparation

    Discover the latest self-service data prep trends and how solutions can empower users, improve governance, and enjoy faster data prep workflows and quality data pipelines. We’ll discuss the latest TDWI research about self-service data prep and explore intelligent automation and collaboration. December 5, 2019 Register

  • Best Practices for Cloud Data Pipelines

    Learn about the alternatives for developing and managing cloud data pipelines and what to expect of modern analytics environments. Explore real-time data ingestion and management, why custom-coded data pipelines are so complex (and ELT’s role), and what skills are needed to develop data pipelines. December 10, 2019 Register

  • Future Analytics: Organizational Readiness and Successful Deployment

    This roundtable will explore future analytics environments, including a discussion of high-level architectural alternatives for analytics, prioritizing analytics use cases, data resource mapping, data pipeline orchestration, and leveraging the right technology frameworks. December 12, 2019 Register

  • What’s Ahead in Analytics in 2020?

    Join a panel of experts, moderated by Fern Halper, TDWI’s lead analyst for advanced analytics, as they discuss the hottest trends in analytics, including predictive analytics/machine learning/NLP/AI, augmented intelligence, DataOps, and evolving data infrastructures to support analytics. December 17, 2019 Register

  • Gain Control of Your Data Lake

    In this webinar we explore data governance concepts for the cloud-based data lake. You’ll also learn about data lake architecture alternatives, data sensitivity and the need for data protection, how to protect against unauthorized data exposure, and tips for encouraging governed data sharing. December 17, 2019 Register

  • What’s Ahead in Data Management in 2020?

    Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management. December 18, 2019 Register

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.


What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.


Best Practices for Real-Time Analytics for High Data Volumes

Learn about hybrid transactional/analytical processing, an alternative architecture that can simultaneously balance transactional and analytical processing. We’ll explain how you can reduce traditional (ETL), manage data storage according to usage, and perform in-memory data management.

David Loshin


Best Practices for Managing and Monitoring Open Source Predictive Models

Building a predictive analytics/machine-learning model is far earlier than deploying one, which can take six months or more. Learn how to overcome deployment challenges and monitor models in production, the role open source plays, and what technologies can help support deployment of these models.

Fern Halper, Ph.D.


Emerging Trends for the Data-Centric Organization

Learn about key data-centric trends, including the role of the citizen analyst and its emergence as the nontechnical data champion, the importance of educating and training for data awareness, the value of self-service, the changing role of IT, and why you need data governance.

David Loshin


Open Source for Predictive Analytics and Data Science: Trends, Opportunities, and Challenges

Learn about the pros and cons of open source for predictive analytics and data science. We’ll discuss the trends in open source analytics, commercial versus open source options for analytics, and how vendors support open source analytics.

Fern Halper, Ph.D.


Automating Modern Data Lake Pipelines

Data management challenges can often make finding value in an on-premises or cloud data lake extremely difficult. Learn about the evolution of the modern data lake, how to make it efficiently ingest data in real time, and how data lake pipelines can be automated.

Fern Halper, Ph.D.


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