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.
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.
December 4-9, 2016
New survey results suggest that even when organizations have decided to commit to some use of Hadoop, their teams may still need additional training to come up to speed.
Many BI users aren't taking advantage of the full capabilities of their BI tools and don't know how to improve. Happily, it doesn't take much effort to make your BI usage more effective.
Drive better, faster insights and innovation with data warehouse modernization, big data analytics, and cloud analytics.
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 Austin focuses on state-of-the-art technologies and practices for storing, analyzing, and harnessing enterprise data to drive customer-centric innovation. TDWI Austin isn’t like other events—instead of one-hour sessions, vendor pitches, and marketing fluff, industry experts share their knowledge and experiences in half- and full-day sessions organized around the skills you need in your job 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.
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For more than 20 years, TDWI has been raising the intelligence of data leaders and their teams with in-depth, applicable education and research, and an engaged worldwide membership community. Accelerate the success of your data management and analytics projects—and your career—with TDWI.
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Data Management for Next-Generation Analytics
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