Since using Databox, Nextree has reduced the time spent wrangling data from multiple sources and increased the value provided to the clients.

Splunk is a technology that made processing huge volumes and complex datasets accessible to security and IT teams. Despite its strengths for monitoring and investigation, Splunk is a bit of a one-way street. Once it's in Splunk, it's not that easy to stream the data elsewhere in great volume. And it doesn’t mean it’s the best technology for all IT and Security use cases. Or the cheapest.

Today, Snowflake is announcing the general availability (GA) of the External Tables feature. Snowflake launched the External Tables feature for public preview at the Snowflake Summit in June 2019. It is one of the key features of the data lake workload in the Snowflake Data Cloud.

I’m a geneticist, which is really just a technical way of saying that I obsess about the minutiae of your family history. Now, while that sounds rather stalkerish, this is in fact a molecular and data-driven addiction, which is fuelled by my need to understand the nature of evolution and human behaviour via the data within our DNA. Our genomes are the single-most densely packed dataset that we have ever encountered.

The “Quality at Speed” movement – or delivering high-quality products in a short period – has expanded beyond the software industry: it appears in the standard playbook of companies in health care, finance, etc. This new movement pushes QA teams to continuously reinvent their software development cycle with advancing technological practices.

Do you need faster time to value? Does your organization’s success depend on immediate delivery of new reports, applications, or projects? When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT.

These bundled analytics tools help organizations facilitate and increase the adoption of self-service BI practices among regular business users in a specific operational domain, such as finance, marketing and sales. It does so by improving the availability and measurement of important, relevant historical data for your end users’ decision-making.

Interested in making a dashboard but unsure where to start? Check out these dashboard best practices and tips for what separates the good from the bad.

Modern applications don’t function in isolation. To get the most out of the enterprise apps you build or buy, you’ll have to connect them to other applications. In other words, data engineers have to engage in effective application integration to achieve their business goals. Sometimes, this means connecting one application directly to another. But this is a rare occurrence in digitally transformed industries.