Everything You Need to Know About The 5 Big Updates to Goals in Databox
Big updates to the Goals feature allow you to better identify trends, view company goal history, set progressive goals, and more.
The Next Big Thing in Big Data
James Dixon has a unique perspective on the big data space - he coined the term "data lake." In this webinar the Big Data Maverick talks big data - watch to learn more about the technology landscape and evolving use cases.
Discovery Without Handcuffs
Radiant Advisors’ analyst Lindy Ryan shares research on the accepted, principles-led practices being used by Fortune 500 companies that will become tomorrow’s best practices for extending data governance frameworks to enable governed data discovery.
Pentaho Labs and Emerging Open Source Technologies
Discover what the near-term technology landscape looks like for data transformation, orchestration, and analysis, and learn which up-and-coming open source projects to keep an eye out for.
Qlik and C40 Cities Partner to Help the World's Megacities Fight Climate Change with Data and Analytics
Partnership to Accelerate Global City Network Access to Actionable Data to Address Climate Risks
15 Shopify Integrations That Will Supercharge Your Online Store
We polled our audience of e-commerce experts to learn about the software tools they use alongside Shopify. Here is what they said.
Cloudera in the Cloud: The Future of Cloud-based Analytics
A cloud-based analytics platform needs to be easy, unified, and enterprise-grade to meet the demands of your business. This white paper covers how Cloudera's machine learning and analytics platform complements popular cloud services like Amazon Web Services (AWS) and Microsoft Azure, and enables customers to organize, process, analyze, and store data at large scale...anywhere.
The Many Advantages of Cloudera Enterprise
The Modern Platform for Machine Learning and Analytics Optimized for Cloud.
Transform publicly available BigQuery data and Stackdriver logs into graph databases with Neo4j
In today’s blog post, we will give a light introduction to working with Neo4j’s query language, Cypher, as well as demonstrate how to get started with Neo4j on Google Cloud. You will learn how to quickly turn your Google BigQuery data or your Google Cloud logs into a graph data model, which you can use to reveal insights by connecting data points.