Abstract Data Analysts and developers are often presented with imperfect datasets that require significant effort to prepare them for accurate analysis and trustworthy results. In fact, more time is often spent cleaning up messy data than performing the analysis, and obviously bad data leads to bad conclusions. This talk will highlight some of the typical … Read More
Abstract There are no shortage of systems that claim to help with analysis of large amounts of data. Under the hood, today’s popular systems have a variety of interesting and unique architectures. As the classic film “Some Like It Hot” famously ends: “Nobody’s Perfect.” In this talk, we’ll reflect on why you can never seem … Read More
This post is a quick primer on the basic titles and skills best suited to fulfill responsibilities along your company’s data pipeline.
How do you right-size your data analytics effort? Our experts recommend asking these five questions to set up reasonable project parameters.
In this interview, Stacey Mosley talks about using data to get really granular about large economic concepts. What can real estate data tell us about how a certain city is performing? In the age of COVID, how does it help us identify suffering industries? And what are the data points Stacey is using to paint these pictures?
What helps us understand the nature of network traffic? Which services are talking to one another and how does this change during failure conditions or a deploy? What helps us understand how user behavior changes over time? And which features provoked these changes? This talk will help prepare you to tackle these problems at a range of scales.
Our day 1 keynote presentation was delivered by Claudia Perlich of Media Six Degrees. She’s been working in the data science field long before it became a hugely popular career choice. This keynote was both filmed and screen-captured, so you’ll not only hear Ms. Perlich and watch her slides, but view the presentation as it … Read More