ANALYTICS, DATA SCIENCE & BUSINESS INTELLIGENCE

The technologies, techniques, and algorithms for analyzing all kinds of data to derive insights and take action for better decision making and enterprise success.

Explore Analytics, Data Science & Business Intelligence Content

Onsite Education

Online Learning

  • TDWI Data Science Bootcamp

    Get in-demand skills for the hottest job in analytics: Data Scientist. A 4-module intensive course covers everything from sourcing and prepping data to communicating business insights. more

Research & Resources

Webinar

  • Cloud Data Lakes: Enabling New Business Analytics at High Scale and Low Cost

    This webinar will discuss the business benefits of data lakes, the benefits of deploying a data lake in the cloud (and how use cases and technology requirements affect your platform choice), and why substantial data integration is necessary. more

  • Augmenting BI and Analytics in the Age of AI and Big Data

    Learn about key trends in BI and analytics based on research findings in a just-published TDWI Best Practices Report: "BI and Analytics in the Age of AI and Big Data." We'll cover priorities for augmenting BI, analytics, and data preparation with new AI capabilities, in particular to capture value from big data and cloud data systems. more

  • What’s Ahead in Data Management in 2019?

    Data is evolving into larger volumes from new sources in a wide array of structures, containers, and interfaces. An expert panel discusses data management trends, including new data platforms (Hadoop, cloud computing, and columnar databases), cloud data management, advancements in data catalogs and metadata, and data governance and stewardship. more

  • Facilitating Analytics in the Cloud

    Explore two different aspects of analytics in the cloud: cloud migration challenges and best practices and how Tableau’s visual analytics platform can be integrated with cloud services to provide self-service access to a broad range of reporting and analytics functions. more

  • 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. more

  • 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. more

  • 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. more

  • 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. more

  • 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. more

  • 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. more

  • Taking Advantage of the Cloud for Modernizing Your Data Warehouse

    Learn what challenges data engineers face when migrating their on-premises data warehouse architecture to the cloud, review cloud architectural features, and examine how exploiting those features can help you renovate and modernize your data warehouse environment. more

Upside

Filter by:
You must choose at least one filter.

    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference TDWI Las Vegas Conference TDWI Las Vegas Conference

      February 10-15, 2019
      Super Early Bird Ends December 21

      No matter your challenge, TDWI Las Vegas delivers the most applicable training on your top data and analytics challenges from the industry’s most respected thought leaders and practitioners. Walk away with the skills and best practices you need to advance your data and analytics initiatives now.

    • Strategy Summit TDWI Las Vegas Strategy Summit for Analytics TDWI Strategy Summit for Analytics

      February 11-12, 2019
      Super Early Bird Ends December 21

      The TDWI Las Vegas Strategy Summit for Analytics offers leaders the chance to discover new capabilities for analytics and learn how to implement advanced analytics like machine learning, AI, and data science initiatives. Attend a workshop, view case studies, and learn about new technologies from industry thought leaders at this two-day event.