PrestoDB in HPE Ezmeral Unified Analytics – Milind Bhandarkar, HPE

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.

5 Reasons Why AI Is the Future of SQL – Jared Zhao, AskEdith

5 Reasons Why AI Is the Future of SQL – Jared Zhao, AskEdith

SQL remains ubiquitous for data retrieval and analytics, yet can be tedious to write, and is downright unusable for business users. The 2-5 business day turnaround time for data projects is both disruptive and frustrating for business users. Data teams are becoming increasingly overwhelmed, and organizations are pushing to empower their “citizen data analysts.” With the advent of AI English-to-SQL platforms like AskEdith, now anyone can work with and query Presto using plain English questions. AskEdith integrates natively with web interfaces like Ahana for a seamless analytics experience.