Systems | Development | Analytics | API | Testing

Metadata Management and Data Governance with Cloudera SDX

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

From Reporting to Decision Science: Inside HP with Juergen

You’ve heard the term data science, but have you heard about decision science? Juergen Kallinger, VP of Data and Insights at HP, shares valuable insights and reflections from his 22-year journey at HP. In this episode, Juergen dives into HP’s pivotal shift from solely reporting, to the dynamic realm of decision science and how it’s aligned their data team.

Yellowfin BI Celebrates 20 Years of Embedded Analytics Innovation

AUSTIN, TEXAS, USA, January 25, 2024 - Yellowfin, a leading global provider of business intelligence (BI) and data analytics software, is proud to celebrate 20 years of innovation in the business intelligence (BI) and data analytics industry. Founded in 2004 with a mission to make data accessible and actionable for everyone, Yellowfin has grown into a global force, empowering businesses of all sizes to unlock the power of data and gain a competitive edge.

Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

This year may be the most innovative on record. Recent advances in AI are beginning to transform how we live and work. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

Snowflake + Unravel: A Dynamic Duo to Supercharge Speed and Efficiency

GenAI and analytics are increasing demands on data teams. They need new ways to accurately forecast data cloud spend, improve efficiency, and increase automation. Organizations are increasingly turning to purpose-built AI to enable data observability and FinOps that dramatically accelerates time to launch new data products, increases spend predictability, and minimizes cloud waste.

Top Data + AI Predictions for the Public Sector in 2024

Governments collect more data than any other type of entity on the planet, yet their ability to use data to serve citizens more effectively has always been limited. Regulatory compliance, budgetary constraints, reliance on legacy systems and internal resistance to change all play a role. That’s why when it comes to adopting new technologies, public agencies tend to lag behind the private sector by 18 to 24 months—and often longer.

How to Increase Data Reliability in Construction

Between soaring material costs and the impact of inflation, the construction industry has had to practice extra agility and resilience in recent years. Market upheaval, including skills shortages and supply chain disruptions have made financial reporting in the construction industry even more challenging. Manually exporting data into static spreadsheets adds another roadblock–when reports are manually exported or input, information grows stale quickly.