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Analytics

ThoughtSpot Success Series #2 - Defining a Use Case

Introducing the ThoughtSpot Success Series! Want to expand your knowledge of ThoughtSpot? Want to learn some great tips and tricks? Join ThoughtSpot's Customer Success team and other users like yourself as we discuss various topics in our new Success Series. In this session, we'll share how to best define your ThoughtSpot use case in your organization to maximize results & align key stakeholders.

Future of Data Meetup: Nice to Meet You, NiFi!

You asked for and we are delivering the third in our “Hello:“ series of introductory “Big Data” topics. Our next meetup covers using Apache NiFi. Lots of people want to be a data scientist... but what good is machine learning, artificial intelligence or advanced analytics if you don’t have data? Getting data is incredibly important, but getting data in real time or near real time helps you give near real time insight.

The 6 Soft Skills Data Engineers Need to Succeed

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.

Achieving Energy Efficiency With Data Efficiency: Vermont Gas + Data Governance Leaders

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.

Drinking our own champagne - Cloudera upgrades to CDP Private Cloud

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.