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

TDWI Transform West Las Vegas

• TDWI Data Virtualization: Solving Complex Data Integration Challenges

  Get ready to expand your data integration capabilities, deliver business-speed information, and make the most of recent advances in data integration technology. Through a combination of lecture, exercises, and case study review you will learn how data virtualization works and how to position it in your data integration architecture and processes. learn more

• Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale

  In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics. learn more

• Data Science Bootcamp // Modeling Your Data: Building and Assessing Models

  Students will receive an overview of common statistical techniques and algorithms that are used in analytic models, how they are matched to business objectives and available data, and how the models are tuned and validated. The course will also cover key technologies that enable model development and management, and examples will reinforce key concepts. learn more

• Data Architecture Essentials: Building a Data Foundation for Enterprise Analytics

  This course offers a deep dive into the foundation and architecture of modern data platforms, highlighting key concepts such as data mesh, data warehouse, data lakehouse, and data virtualization. learn more

• Modern Data Engineering for Tomorrow's Enterprise Landscape

  This half-day course delves into cutting-edge practices to sculpt and refine robust data pipelines. Immerse yourself in the intricacies of data engineering for data meshes, data warehouses, data lakehouses, and data virtualization. learn more

• An Introduction to Data Fabric Architecture

  In this course you will learn about the case for a data fabric, when it makes sense to adopt this architecture, how to implement the data fabric architecture, and the implications of a data fabric model for people, processes, and technology. learn more

• Is a Data Lakehouse in Your Future?
• Active Metadata for Data Fabric: Delivering Data Quality, Observability, and Trust

  Understanding the best ways to capture metadata automatically at scale can then be followed by activating metadata to increase data observability, improve data quality and governance awareness, and ultimately build a trusted data architecture that can accelerate and improve decision-making in the business. learn more

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