Hopefully you’ve been following along with our BigQuery Admin series and are well on your way to getting ramped up with BigQuery. Now that you’re equipped with the fundamentals, let's talk about something that’s relevant for all data professionals - data governance.

There’s no question that the benefits of hyperautomation are potentially limitless, with nearly endless ways to optimize efficiency, cost savings and competitive advantage.

Since pneumatic tubes streamlined the transfer of documents across banks and mainframe computers revolutionized back-office processes, automation has been a driver of innovation and progress in financial services for over a century. In today’s digital world, automation’s latest iteration has the power to transform operations across departments and use cases: customer onboarding, underwriting, compliance, and more.

If you are a candidate looking for your next role that involves an in-depth knowledge of Elasticsearch and the wider Elastic Stack then you will want to revise beforehand. In this resource guide on the top ELK interview questions, we've listed all of the leading questions that candidates are commonly asked about Elasticsearch, Logstash & Kibana (and their contemporary tools and plugins) alongside the answers. Want to improve your knowledge further?

Do you need to integrate your Salesforce data into other systems? SFDC Integrations can offer your company a reliable, secure data infrastructure to transfer SFDC data into other systems. Data integration is a key component for any business that wants to get ahead and stay competitive in today's marketplace. That's why so many companies have used ETL tools like SFDC integrations software from Xplenty. Integrating with SFDC has never been easier than it is now.

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization.

The arrival of more and more data in all segments of the enterprise started out as an embarrassment of riches, but quickly transformed into something close to a nightmare of dark data. However, a raft of new technologies and the processes embodied in DataOps are charting a path forward in which a much higher percentage of data becomes useful. The challenge most companies face is how to manage and get access to all the data flooding in from all directions.

For a long time, many in the analytics and business intelligence (BI) industry, including most of our competitors, have loosely labelled data visualization in the form of charts and dashboards as ‘data storytelling’.

In this episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Samir Boualla, CDO at ING Bank France, one of the largest banks in the world. They cover his battlescars in Driving Data Governance Across Business Teams and Building Data Products. At ING Bank France, Samir is the Chief Data Officer. He’s responsible for several teams that govern, develop, and manage data infrastructure and data assets to deliver value to the business.

We all know data is the new oil. Both data and oil are valuable resources and share a common quality; if unprocessed they cannot be used. Data and oil have to be broken down and built up again to create true value for the business. There is, however, one key difference. Whereas oil is tangible, data is not. This means that the flow of low-quality oil is traceable and will be noticed in the production process. But, what happens if there is a bad data flow in your organization?