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Avoiding Digital Disaster: The 5 Things You May be Doing Wrong

If your cholesterol were to become too high, would you ignore the test results? Probably not, because when it comes to healthcare, many of us recognize that a data-driven approach helps keep a person healthy. So why is it that so few business decisions — perhaps fewer than half — are made using quantitative data? Sounds like some pretty risky disregard for corporate well-being.

CIOs: How Can You Stretch Your Data Dollar?

For the past few years, big data has been all the rage, but it has not delivered on all its promise. We were expecting omniscience at our fingertips, and we’re getting moderately well-targeted advertising instead. Don’t get confused though, big data is not going anywhere. On the contrary, data keeps growing at a dizzying rate, increasing in volume, variety, velocity, and veracity.

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.

BigQuery at speed: new features help you tune your query execution for performance

BigQuery is a managed analytics service that provides advanced cloud data warehouse capabilities with a diverse set of features. One of BigQuery’s most significant differentiators is its distributed analytics engine, which transforms your SQL queries into complex execution plans, dispatching them onto our execution nodes to promptly provide insights into your data.

5 Strategies CIOs Should Consider for a Successful Cloud Migration

With the growing adoption of cloud-based IT infrastructures, the proliferation of mobile and IoT devices, and the rise of social media, companies of all sizes, across all industries are amassing huge quantities of data in differing variety, velocity, veracity and validity.

The Rise of Ad Hoc and Citizen Integrators

In the past few years, there has been a shift in the data industry, leading to the emergence of a new category of data citizens: the ‘ad hoc’ or ‘citizen’ integrators. With these new personas adding to the (already long) list of data workers having access to corporate information, companies are needing to re-think the way they approach their data security and data governance strategies.