Video – Zuora: Using Presto as a Query Layer in a Distributed Microservices Architecture
Free Presto Trainings – See Upcoming Sessions
Later this month, the co-creators of Presto are kicking off a series of FREE Presto trainings to help users learn advanced Presto skills. Beyond the basics, each of the four initial training sessions cover critical topics for scaling Presto to more users & use cases.
Upcoming Sessions:
July 29th – Using Advanced SQL Features In Presto
August 12th – Understanding & Tuning Presto Query Processing
August 26th – Securing Presto
September 9th – Configuring & Tuning Presto Performance
Webinar – Accelerate Business Outcomes with Pure Storage & Starburst Presto – (July 9th @ 2pm ET)
With traditional approaches, extracting value from your data is challenging because of rigidity caused by application and data silos. These silos are inflexible, lock-in your data, and make it difficult to adopt new technologies. Learn how disaggregating with Starburst Presto and PureStorage enables cloud-like agility in your on-prem environment so you can focus on your data instead of your infrastructure.
Virtual Conference – Data & Analytics: Live – (July 14th-16th)
Join Starburst at our virtual booth. Data & Analytics: Live is a 100% virtual conference and will connect the USA’s most progressive data analytics leaders with the world’s most forward-thinking solution providers, set against a backdrop of cutting-edge content that you cannot find anywhere else. Register for your free VIP Pass.
Presto News & Knowledge
How SentinelOne Optimizes Big Data At Scale
SentinelOne collects massive amounts of data (over 200 billion events per day), but querying this data was a challenge for them. In this blog they share how they overcame this challenge and achieved the ability to quickly query tremendous amounts of data using Presto.
Apache Pinot Presto Connector
Presto 334 introduces the new Pinot Connector which allows Presto to query data stored in Apache Pinot™. Not only does this allow access to Pinot tables but gives users the ability to do things they could not do with Pinot alone such as join Pinot tables to other tables and use Presto’s scalar functions, window functions and complex aggregations.
Presto & Data Science: Getting Data Into the Hands of Data Scientists (Faster)
A large amount of a data scientist’s time is spent “wrangling data”. This is not the kind of work they envisioned when they signed up. They want to spend their time on data analytics, building machine learning models and running regressions, not cleansing data. Learn how Presto helps you spend more time running analytics and less time moving data.
