Presto: Fast SQL-on-Anything | Starburst
Get the slides: https://www.datacouncil.ai/talks/presto-fast-sql-on-anything
ABOUT THE TALK:
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Airbnb, Comcast, Facebook, FINRA, LinkedIn, Lyft, Netflix, Twitter, and Uber, in the last few years Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments over Object Stores, HDFS, NoSQL and RDBMS data stores.
In this talk we will cover the architecture of Presto, its separation of compute and storage, and cloud-readiness. In addition, we will discuss some of the best use cases for Presto, recent advancements in the project such as Cost-Based Optimizer and Geospatial functions as well as the roadmap going forward.
ABOUT THE SPEAKER:
Kamil is a technology leader in the large scale data warehousing and analytics space. He is CTO of Starburst, the enterprise Presto company. Prior to co-founding Starburst, Kamil was the Chief Architect at the Teradata Center for Hadoop in Boston, focusing on the open source SQL engine Presto. Previously, he was the co-founder and chief software architect of Hadapt, the first SQL-on-Hadoop company, acquired by Teradata in 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
Видео Presto: Fast SQL-on-Anything | Starburst канала Data Council
ABOUT THE TALK:
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Airbnb, Comcast, Facebook, FINRA, LinkedIn, Lyft, Netflix, Twitter, and Uber, in the last few years Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments over Object Stores, HDFS, NoSQL and RDBMS data stores.
In this talk we will cover the architecture of Presto, its separation of compute and storage, and cloud-readiness. In addition, we will discuss some of the best use cases for Presto, recent advancements in the project such as Cost-Based Optimizer and Geospatial functions as well as the roadmap going forward.
ABOUT THE SPEAKER:
Kamil is a technology leader in the large scale data warehousing and analytics space. He is CTO of Starburst, the enterprise Presto company. Prior to co-founding Starburst, Kamil was the Chief Architect at the Teradata Center for Hadoop in Boston, focusing on the open source SQL engine Presto. Previously, he was the co-founder and chief software architect of Hadapt, the first SQL-on-Hadoop company, acquired by Teradata in 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
Видео Presto: Fast SQL-on-Anything | Starburst канала Data Council
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Presto: Fast SQL on Everything (Facebook)RaptorX: Building a 10X Faster Presto - James Sun, Facebook, IncQuick Presto Overview and Demo with TableauStarburst training series, session 1: Using advanced SQL features in Trino and StarburstPresto: Optimizing Performance of SQL-on-Anything | StarburstIntro to Apache PinotStarburst - How to Sell Presto to Your BossWhat is a Data Architecture? Modern Data Architectures ExplainedCockroachDB: Architecture of a Geo-Distributed SQL Database | Cockroach LabsRunning Fast, Interactive Queries on Petabyte Datasets using Presto - AWS July 2016 Webinar SeriesData Pipelines - Comparing Airflow and Luigi - Orr Shilon & Alex Levin - PyCon Israel 2019Even Faster When Presto meets Parquet @ UberWhat the Heck is an In Memory Data Grid | PivotalWhat is and why data architecturePowering Uber's global network analytics pipelines in real-time with Apache Hudi | UberF8 2019: Getting Started with Presto Run SQL at Any ScaleA Metadata Service for Data Abstraction, Data Lineage & Event-based Triggers | WeWorkGet Rid of Traditional ETL, Move to Spark! (Bas Geerdink)Architecting a Low-Latency Schemaless SQL Engine | Rockset