![Modern Data Architecture with Talend and Azure](/img/130945be3.JPG?width="600&height=400&fit=crop&q=60)
![Three Necessities for a Modern Analytics Ecosystem](/img/75a899f6b.png?width="600&height=400&fit=crop&q=60)
![Better Together: Data and Analytics Governance](/img/840e62b21.png?width="600&height=400&fit=crop&q=60)
Latest Research
![The Platform Approach for Enterprise Self-Service Data Success](/img/9a347a19a.jpeg?width="600&height=400&fit=crop&q=60)
The Platform Approach for Enterprise Self-Service Data Success
A single platform that incorporates all six pillars is the ideal approach for enterprise self-service data capabilities rather than an ecosystem of various tools and products.
Leading Business Applications for Self-Service Data
Several important initiatives clearly benefit from self-service data’s key value propositions, such as customer 360 programs, compliance and GDPR, and ERP consolidations
Achieving Enterprise Self-Service Data
A successful enterprise self-service data strategy is dependent on a comprehensive set of core capabilities deployed together to empower business users with data
![The Core Components of an Enterprise Self-Service Data Strategy](/img/bc204657b.jpg?width="600&height=400&fit=crop&q=60)
The Core Components of an Enterprise Self-Service Data Strategy
To implement an enterprise self-service data strategy, six pillars are the foundation required to fully empower users with data
![Why Data Sampling Is Essential to Data Wrangling](/img/eb95ececb.jpg?width="600&height=400&fit=crop&q=60)
Why Data Sampling Is Essential to Data Wrangling
Data sampling is essential to data wrangling and the future of working with data in every company striving to be more effective with their data assets
![The Essential Role of Data Sampling in Data Wrangling Best Practices](/img/9cff74286.jpg?width="600&height=400&fit=crop&q=60)
The Essential Role of Data Sampling in Data Wrangling Best Practices
Why data sampling is beneficial, statistically valid and necessary in the data wrangling process for faster results, an improved user experience and increased quality of resulting data outputs
![The Reality of IoT Adoption](/img/e529f3583.jpg?width="600&height=400&fit=crop&q=60)
The Reality of IoT Adoption
An overall positive sentiment is driving organizations’ desire to make IoT a reality, and early adopters are tackling challenges of data security, infrastructure, and skill sets
![Internet of Things Market Study](/img/1036035e2.png?width="600&height=400&fit=crop&q=60)
Internet of Things Market Study
Radiant Advisors and Unisphere Research publish a brand new study on the current state of IoT adoption and maturity
![Data Lake Adoption and Maturity Survey Findings Report](/img/4a8361efb.jpg?width="600&height=400&fit=crop&q=60)
Data Lake Adoption and Maturity Survey Findings Report
By surveying both current and potential adopters in the industry, this study documents key perceptions, challenges and successes
![Why Spark Matters](/img/5258e9883.jpg?width="600&height=400&fit=crop&q=60)
Why Spark Matters
This paper guides the reader through the hype surrounding Spark to distill salient points on why Spark matters.
Insight Series: Visual Design
This Visual Design series covers the science, artistic curation and various cognitive processes enlisted in building effective data visualizations
![Three Checkpoints for Enabling Governed Data Discovery](/img/66f5d64a6.jpg?width="600&height=400&fit=crop&q=60)
Three Checkpoints for Enabling Governed Data Discovery
Learn what governed data discovery is and how to institute checkpoints within the discovery process to reduce friction between analysts and IT and enable governance and sharing of trusted, valid data
![The Visual Design Checklist](/img/56d8e64e1.jpg?width="600&height=400&fit=crop&q=60)
The Visual Design Checklist
This checklist is a guide to creating effective data visualizations and designing for visual dialogue.
The Data Visualization Competency Center™
Data Visualization Competency Center supports the use of effective self-service data visualization by providing best practices, standards and education
Enabling Governed Data Discovery
As business-driven data discovery continues to become fundamental, ensuring data and analytics are trustworthy and protected becomes more important
![Solution Brief: iVEDiX](/img/16b352568.jpg?width="600&height=400&fit=crop&q=60)
Solution Brief: iVEDiX
iVEDiX is a true mobile-first platform that focuses on intuitive user interaction to drive engagement
![Driving the Next Generation Data Architecture with Hadoop Adoption](/img/0e8326e05.jpg?width="600&height=400&fit=crop&q=60)
Driving the Next Generation Data Architecture with Hadoop Adoption
This paper examines the emergence of Hadoop as an operational data platform, and how complementary data strategies and increasing year-over-year adoption can accelerate consolidation and realize busin
Big Data Total Cost of Ownership: Understanding Hard Costs and Options
This Insight Paper explores the total costs of ownership of a Hadoop environment from a tangible costs perspective.
Driving the Next Generation Data Architecture with Hadoop Adoption
Hadoop has been a phenomenon, both as a framework for big data workloads and its operational capabilities.Major initiatives brought Hadoop from its batch-oriented roots to the interactive
Big Data Total Cost of Ownership: Understanding Soft Costs and Options
This Insight paper explores the total costs of ownership of Hadoop Big Data environments from a soft costs perspective – those skills and resources necessary to build, run, and maintain a Hadoop env