AND SKILLS YOU NEED TO
TRANSFORM DATA INTO
In 2018, the average salary dropped for the first time since 2015, but nearly all individual employees saw their salaries rise from the previous year. Read more in the 2019 TDWI Salary, Roles, and Responsibilities Report.
Average salaries for full-time DM/A employees and contractors rose by 11.1 percent from 2018 to 2019. Read more in the 2020 TDWI Salary, Roles, and Responsibilities Report.
This TDWI Best Practices Report examines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems.
This checklist explores ideas for determining where traditional approaches to data integration are impeding modern analytics and will guide the reader in ways to modernize.
This TDWI Pulse Report examines five areas that organizations need to address to ensure business value and ROI as they increase the role of the cloud in data life cycles.
June 28-3, 2020
Future-Proofing Self-Service Analytics and Data Platforms
June 22 - 24, 2020
Data Literacy in the Workplace
What’s driving the popularity of cloud for data lakes and warehouses? Explore data lake use cases, failure factors, the roles that SQL and the relational paradigm play in a cloud data lake, and best practices for migrating an on-premises data lake or data warehouse to the cloud.
In this panel discussion, TDWI affiliate analyst David Loshin will pose directed questions to some of today’s data management experts who will reflect on new and emerging practices and techniques and provide answers that help attendees plan successful modernization programs.
Organizations are using IoT for a range of use cases, from sensing air quality to autonomous vehicles, designing factories of the future to disaster response. A recent TDWI survey sheds light on how enterprises are planning to use or currently using IoT, what challenges they face, and how often they need to visualize their ever-changing data from IoT sources.
This TDWI Best Practices Report examines how organizations using AI are making it work. It looks at how those exploring the technology are planning to implement it. Finally, it offers recommendations and best practices for successfully implementing AI in organizations.
This issue of the Business Intelligence Journal looks at a variety of ways that speed—speed of response through data sampling, speed of design through agile data governance, and more—can contribute to the health and welfare of your enterprise.
Dallas / Virtual Classroom The practice of data modeling helps organizations provide important context and a coherent structure to their data. Join us for three days of in-depth interactive training into successful architectures, the foundations of data modeling, and advanced techniques in tackling complex challenges. Attend online or in Dallas!
D.C. (Dulles, VA) / Virtual Classroom Are you drowning in data? What you need is a plan. Join us for a two-day, intensive workshop focused on developing a successful BI and analytics data strategy. Learn what needs to be included, aligning goals with the analytics and data sharing needs of the company. Attend online or in D.C. (Dulles)!
Philadelphia / Virtual Classroom
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Head to sunny San Diego for a week of in-depth training surrounded by beautiful beaches. Elevate your data skills in data science, machine learning, modern data architecture, and data modeling at this week-long event featuring more than 50 full- and half-day courses.
Plan for the future of data and analytics and head to Orlando for a week of sunshine in November. This conference features forward-thinking trends in the industry with hands-on training in data lakes, multi-platform data architecture, self-service analytics, and data virtualization.
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"I really appreciate the technology-agnostic approach so that every course is oriented around industry best practices, regardless of any software platform."
"The information and vendors far exceeded other conferences I have been to in the past."
"It gave me a jump start on learning new skills that it would have taken a lot more time to learn on my own."
"This is the third time I’ve attended the conference, I always learn something new which will benefit my organization. Having top trainers and best topics always keeps TDWI on top."
"The longer classroom-style sessions allowed for more in-depth learning and were more applicable to items specific to my business."
"The leadership event was very valuable as this provided the opportunity to network with fellow leaders and learn about analytics trends."
"I had definite actionable items from each event that I could take home with me."
"I feel like I received a semester's worth of content in 4 days, very useful for my position and organization."
"I'm new to the data science field and felt like this conference was the perfect way to start. I got a great general overview with the bootcamp, then some hands-on Python experience."
"It was a great opportunity to listen to lectures delivered by experts in the technology industry and more importantly have an opportunity to ask and get their view on an approach to solve a problem. Also a great opportunity to meet and network with peers working in the same technical field but an entirely different domain."
"Put us on the right track for starting a data science team and producing worthwhile results with our first data science project."
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