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.
This TDWI Insight Accelerator focuses on customer analytics practices and how organizations must adapt them to increasingly stringent requirements for getting customer and consumer consent.
Although the traditional on-premises reporting and analytics platforms have served organizations well over the past few decades, key stakeholders have begun to recognize the need to adjust to a demand for automated decision support systems that
are more agile, more scalable, and support a wider variety of data types and speeds.
This report describes the five key technical architectural requirements that any platform for data warehouse modernization must satisfy.
This checklist report focuses on six strategic issues that set the stage for greater speed, confidence, and quality in data-driven decision making.
December 9 - 11, 2019
Business Analytics Essentials
In this webinar we explore data governance concepts for the cloud-based data lake. You’ll also learn about data lake architecture alternatives, data sensitivity and the need for data protection, how to protect against unauthorized data exposure, and tips for encouraging governed data sharing.
Learn about the alternatives for developing and managing cloud data pipelines and what to expect of modern analytics environments. Explore real-time data ingestion and management, why custom-coded data pipelines are so complex (and ELT’s role), and what skills are needed to develop data pipelines.
No matter the vintage or sophistication of your organization’s data warehouse (DW), it probably needs to be modernized. This report provides a presentation of the many issues and categories of DW modernization, plus the strategies, methods, and enabling technologies that lead to success.
Despite enterprises' attempts to adjust to a rapidly changing business landscape, many of yesterday’s problems remain front and center. What worked in the past is often outdated today. In this issue, we focus on modern-day solutions for age-old problems, from staffing and executive support to teamwork and skills development.
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.
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.
The TDWI Orlando Strategy Summit for Data Management offers leaders, Chief Data Officers, directors, and executives the chance to discuss strategies for managing big data and data management programs. Learn what’s new and what’s next for data, attend a workshop, and plan your data strategy for the year with seasoned professionals at this two-day event.
Seattle / Virtual Classroom Expand your skillset in R with machine learning skills in this three-day certificate-track bootcamp. Begin with an intro to ML in R, explore data manipulation and cleansing, and advanced techniques for ML in R. Attend in Seattle or online in the virtual classroom!
San Francisco / Virtual Classroom This seminar covers a comprehensive set of best practices for dimensional modeling from business requirements through physical design. Attend in San Francisco or online in the virtual classroom!
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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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