Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. This whole architecture made a lot of sense when there was a consistent and predictable flow of data to process.

Modern engineering has revolutionized almost every complex human endeavor. From lean manufacturing to globe-wide telecommunications; from software and IT bringing the world to our fingertips to medical devices discovering previously invisible diseases, there is no human endeavor that engineering has not changed for the better. But engineers don’t only build complex systems and tools that help the world run around. They’re also the first line of defense when things turn south.

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.

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’.