PrestoDB in HPE Ezmeral Unified Analytics – Milind Bhandarkar, HPE
HPE Ezmeral Unified Analytics is an end-to-end data & AI/ML platform that consists of several popular open-source frameworks for data engineering, data analytics, data science, & ML engineering in a well-integrated packaging. These open-source frameworks include Apache Spark, Apache Airflow, Apache Superset, PrestoDB, MLFlow, Kubeflow, and Feast. This platform is built atop Kubernetes and provides built in security. In this talk we will focus on the role of PrestoDB in Unified Analytics as a fast SQL query engine, and also as a secure data access layer. We will discuss some of our value-additions to PrestoDB, such as a distributed memory-centric columnar caching layer that provides both explicit and transparent caching for dataset fragments, often leading to 3x to 4x query performance. We will conclude by proposing to make caching pluggable in PrestoDB and discussing future directions.
Women in Open Source & Presto – Getting started in the Presto open source ecosystem
Women in Open Source & Presto – Getting Started in the Presto Open Source Ecosystem – Neha Pawar, Startree; Rebecca Schlussel, Meta; RongRong Zhong, Celonis & Moderated By Dipti Borkar, Microsoft Among GitHub users with at least ten contributions, a mere 6% were women. This is way less than the ratio of women in tech that various research shows at 26%. Given the amount of investment going into and the growth / success of companies based on open source as well as the enormous demand for developers in open source, it is a ratio we need to strive to improve for women. In this panel, we will discuss a few areas: – The journey of each panelist into open source projects – The benefits they have seen by participating in open source projects particularly Presto – The challenges women face in male-dominated open source communities – Ideas, suggestions and guidance to budding engineers on getting started with open source including Presto.
Running PrestoDB on Kubernetes with Ahana Cloud and AWS EKS
PrestoDB is built to be cloud agnostic and container-friendly, but getting it to run on Kubernetes in the cloud can be challenging. In this talk, Gary Stafford (AWS) and Dipti Borkar (Ahana) will discuss: Why use the in-VPC deployment model with AWS and demo, etc – Deploying PrestoDB on AWS EKS using the Ahana Cloud managed service within the user’s AWS account.
Building a Modern Data Platform with Presto – Denis Krivenko, Platform24
Hadoop era is gone. Cloud computing is today’s reality. But… What if you cannot use public clouds? What if your cloud does not provide data platform capabilities? What if you want your solution to be cloud agnostic? In this case you create your own cloud native data platform on Kubernetes. In the session Denis will talk about reasons for building analytics data platform solution in Platform24, cloud native data platform architecture principles, data stack they use and why Presto plays one of the key roles in it.