Remove 2013 Remove Agile Remove Data Modelling
article thumbnail

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

article thumbnail

Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

article thumbnail

150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Jason is the author or coauthor of four books – The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! He is currently working on his next book – Agile Digital Transformation. Even though he is a Cloud Architect, he is into the roles of DevOps Engineer, Data Modeller and Database Developer.

article thumbnail

What Is Embedded Analytics?

Insight Software

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. The key is to stay agile and approach embedded analytics in an iterative way. Get feedback and move forward.