Where NOT To Eat In New York: Insights Into Public Data Using Crate

Hungry?

In this talk, Paul Adams shows how to gain insights into public data from New York City by using Crate, a distributed SQL database. Join this talk to understand how Crate, Apache Mesos and Packet infrastructure can work together to deliver simple, SQL-based querying of Big Data.

Using the open data set of 311 incidents in New York, Paul will show how we can quickly explore life in the Big Apple through a series of increasingly probing queries. Learn how to meet customer's demands for your data with Crate's simple scaling and how to explore that data using standard SQL.

Still hungry? Who needs Yelp making recommendations, when sometimes it is quicker to know where to avoid? This talk has the answers.

##About crate.io:

Big Data is bigger than ever. The insertion and processing of billions of lines of data is at the core of many industries and use cases, and it is impossible to predict the rate at which data will flow into your environment. At high-volume times it is crucial that your database can scale to your needs, both up and down. Crate.IO is a distributed, shared-nothing SQL database and that can handle large and constantly changing data sets such as business intelligence, marketing, IoT, or data that needs realtime search. Crate is perfectly suited to be your main database.

## Biography

Paul Adams is an engineering leader with over a decade of experience in agile practice within Free Software projects. Paul holds a PhD from the University of Lincoln (UK), where he studied how to sustain productivity in Free Software communities.

At Crate.IO he is a Scrum Master and responsible for scaling-up the engineering team effectively. Prior to joining Crate.IO, he is best known for his contributions to the KDE community.