TDWI: Data Observability

Explore Data Observability Content

Is your data up to date, complete, and of high quality? Do you know who has accessed that data, where it's been (and where it's going)? Do users trust it? Is the amount of data flowing through your system within expected ranges? This section focuses on how data observability helps you answer these and other questions focused on the health of your data.

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Webinars

Distributed Data Management: Solving Challenges and Maximizing Opportunities
Join TDWI’s VP of Research, Fern Halper, as she explores the results of TDWI’s latest research and moderates a panel of experts discussing best practices for distributed data management. November 18, 2024 learn more
Using Data Automation to Ensure Quality and Trust in Your Analytics System
Join this TDWI webinar with TDWI research fellow David Stodder and Paul Watson-Gover from WhereScape to learn more about these points and best practices for data quality success. October 31, 2024 learn more
Driving Data Quality at Scale with High-Performance Observability
In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024 learn more
Expert Panel: Modernizing and Managing Data Integration Utilizing Automation
Join this TDWI Expert Panel Webinar to gain insights for modernizing data integration through AI-infused automation. September 23, 2024 learn more
Ensuring Trusted Data for Generative AI
In this webinar, Fern Halper, TDWI’s VP of Research, will be joined by experts from Informatica and Databricks to discuss how to ensure trusted data for generative AI. September 17, 2024 learn more
Data Monitoring, Management, and Observability – Results of New TDWI Best Practices Research
Join TDWI’s VP of Research, Fern Halper, as she explores the results of TDWI’s latest research and moderates a panel of experts discussing data monitoring, management, and observability. September 16, 2024 learn more

TDWI Webinars

Research & Resources

TDWI Digital Dialogue | Scaling Data Integration and Analytics Pipelines
Download this Digital Dialogue today to read the highlights of this discussion! learn more
TDWI Best Practices Report | Distributed Data Management: Solving Challenges and Maximizing Opportunities
This TDWI Best Practices Report examines distributed data management: what it is, the challenges organizations are facing with it, how organizations are trying to address it, and best practices for success. learn more
2024 The State of Data Governance Report
Read the new State of Data Governance report today to learn about the current state of data governance maturity and best practices for moving forward with data governance. learn more
TDWI Digital Dialogue | The Role of Trusted Data in Generative AI
As organizations continue their journey to generative AI, new challenges around data trust and quality will emerge. learn more
Building a Trusted Data Foundation for AI/ML and Business Intelligence (BI)
With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes. learn more
TDWI Best Practices Report | Data Monitoring, Management, and Observability
This TDWI Best Practices Report examines the processes and best practices organizations are putting in place to track data flows, detect and respond to issues in real time, and maintain overall data health. learn more

TDWI Research

Podcasts

Adding Corporate Data to LLMs with Nicolas Decavel-Bueff
Nicolas Decavel-Bueff, data science lead at Further, joins host Andrew Miller to discuss adding corporate data to LLMs - including best practices for implementing RAG, ethical considerations, and exciting trends. For more information about the course Nicolas will be teaching at TDWI Transform 2024 in San Diego please visit Hands-On Introduction to Customizing Large Language Models.

May 28, 2024 listen now
The State of Data Quality with Fern Halper
Fern Halper, Ph.D., vice president and senior research director for advanced analytics at TDWI, joins host Andrew Miller to discuss the current state of data quality - including an opportunity to participate in this research by completing the Data Quality Maturity Model Assessment. Please visit "State of" Reports to explore our previous reports further.

February 20, 2024 listen now

TDWI Podcasts - Speaking of Data

Upside Articles

Is Your Data AI-Ready?
The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment. July 31, 2024 read more
Digital Transformation: Making Information Work for You
Digital transformation efforts help strategic analytics teams at all types of businesses leverage the information generated to improve business results. July 12, 2024 read more
AI Readiness with Fern Halper
TDWI’s Fern Halper explains what enterprises need to do to prepare for AI and introduces initial results from TDWI’s AI Readiness Assessment. July 11, 2024 read more
Our Cloud Migration Story: Challenges Faced and Lessons Learned
Moving to the cloud brings numerous benefits, but there are challenges you must overcome. Here is one company’s experience. July 11, 2024 read more
Best Practices to Ensure Data Transformation Success
Prophecy’s founder and CEO Raj Bains explains how organizations can overcome the challenges to achieving enterprise-wide data transformation. June 24, 2024 read more
Adding Corporate Data to LLMs with Nicolas Decavel-Bueff
From the rise of RAG to data privacy considerations, Nicolas Decavel-Bueff explains what your organization needs to pay attention to when it comes to AI. June 20, 2024 read more

TDWI Data Observability Articles

TDWI Transform West Las Vegas

Data Science Bootcamp // Data Sourcing and Preparation for Data Science
This course provides an overview of the data sourcing and preparation activities in data science and predictive analytics projects, highlighting key principles and practices and providing business examples to reinforce each concept. learn more
How to Manage Data as an Actual Corporate Asset
In this course, Amie Richards will show students how key concepts from the traditional world of asset and supply chain management can and should be applied to enterprise data assets. learn more
Data Governance Bootcamp // TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
Machine Learning Bootcamp // Hands-On: Data Wrangling with Python Made Easy!
This course aims for you to return to work and immediately employ these techniques to wrangle data, enhance data analyses, and craft the most valuable machine learning models. You will get hands-on experience wrangling data using the Python pandas library via a series of labs. learn more
Delivering Data Faster: Innovations in Integration Tools
Topics in this session include self-service data integration, data preparation, exploratory profiling, data virtualization, automation, testing and test data management, making streaming data available to nonprogrammers, and rethinking assumptions about data integration and architecture. This course will include demos of some of the tools discussed. learn more
Data Cleaning Demystified: Tools and Techniques for Rapid Results
This class is an introduction to data cleaning concepts, practices, and tools, with emphasis on techniques and methods to get the job done quickly. learn more

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