Learn the skills you need to be a Data Scientist from expert instructors.
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.
A full course overview of analytics, from foundational principles to how and why to implement.
Interest in agile BI is high, but adoption and success rates are lagging behind. The lag occurs primarily because agile methods that evolved for software development don’t necessarily fit the needs and complexities of BI projects.
Big data and data science can provide a significant path to value for organizations. Download this report for organizations’ experiences with and plans for big data and data science including both technology plans and organizational strategies.
Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem.
A data lake ingests data in its raw, original state, straight from data sources, with little or no cleansing, standardization, remodeling, or transformation. These and other data management best practices can then be applied flexibly as diverse use cases demand.
Most data lakes are built atop Hadoop, which enables a data lake to capture, process, and repurpose a wide range of data types and structures with linear scalability and high availability.
The cloud is becoming a mature platform for data management, integration, business intelligence (BI), and analytics. Download this report for an examination of organizations’ experiences with and plans for cloud BI and analytics, new cloud models, and what organizations should consider when moving to the cloud.
Big data presents significant business opportunities when leveraged properly, yet it also carries significant business and technology risks when it is poorly governed or managed.
What should you do when someone takes credit for your work on an open-source project?
Creating a data-driven company involves changing how data is viewed and used, both by top management and by curious, trained office workers. Frank Bien, CEO of Looker, explains how leading firms have transformed company culture by helping employees use data more effectively.
Despite the attraction of consumer-facing AI, IBM's focus on practical business applications may yet win the race for widespread AI adoption.
Is your organization ready for IoT and IoT analytics? Take the Assessment
New discussion boards for TDWI members are now open. Join the conversation today!
TDWI Las Vegas addresses our greatest data challenge head-on: harnessing the power of data and analytics to extract high-value insights that enable faster, smarter business decisions. Analytics requires a team with skills across a spectrum of disciplines. At TDWI Las Vegas, you will learn these vital skills from architecture, data management, and data preparation to data analysis, visualization, data storytelling, and more.
ACCELERATE brings together the brightest minds in data to share their expertise and insight on the future of data science and analytics. From sessions on core data science skills, to learning how to use new big data tools such as R, Python, and Spark, to talks on the latest trends in machine learning, predictive analytics and artificial intelligence, attendees will learn from industry experts, receive valuable training, and network and share ideas with their data peers in an exciting and collaborative environment.
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Data Management for Next-Generation Analytics
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