How We Built the Most Reliable Data Pipeline Ever
From five-engineer startup to 200-engineer unicorn, we’ve remained focused on one goal: making business data as accessible as electricity. Only a few years ago,
From five-engineer startup to 200-engineer unicorn, we’ve remained focused on one goal: making business data as accessible as electricity. Only a few years ago,
Soft skills can be almost as important as data engineering skills when you apply for a job. Soft skills can make the difference between stress and efficiency or being unsatisfied with your position and a raise. When data engineers and data scientists earn bachelor’s degrees, they usually take classes in topics like data warehousing, programming languages, machine learning, and data science.
Vermont Gas (VGS) is a leader in energy efficiency and innovation, offering a clean, safe, affordable choice for over 53,000 homes, businesses, and institutions in northwest Vermont. They pride themselves on providing timely, comprehensive service for all their customers, ensuring they have heat, hot water, and energy to get through the cold New England winter.
Like most of our customers, Cloudera’s internal operations rely heavily on data. For more than a decade, Cloudera has built internal tools and data analysis primarily on a single production CDH cluster. This cluster runs workloads for every department – from real-time user interfaces for Support to providing recommendations in the Cloudera Data Platform (CDP) Upgrade Advisor to analyzing our business and closing our books.
Adobe is a legendary Silicon Valley company. From the desktop publishing era of the 1980s, powered by the Adobe Postscript page description language, through the creation and marketing of Photoshop, Illustrator, and other creative power tools, the digital revolution is unthinkable without Adobe.
Although the title might sound like a collaboration of two music bands with really bad names, this blog is all about understanding how computer vision and machine learning can be used to improve safety and security in a harsh and dangerous environment of a construction site. The construction industry is one of the most dangerous industries according to the common stats from OSHA.
Ever since Salesforce acquired Heroku back in 2010, the two services have worked exceptionally well together. Businesses can use Heroku to build flexible and scalable applications while utilizing Salesforce to manage customer data and drive sales. And when you need to share data between these two platforms, there’s a dedicated add-on: Heroku Connect.
What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.