×

Author

Kamil Bajda-Pawlikowski

Co-Founder and CTO, Starburst

Kamil is a Co-Founder and CTO of Starburst. Previously, Kamil was the chief architect at the Teradata Center for Hadoop in Boston, focusing on the open source SQL engine Presto, and the cofounder and chief software architect of Hadapt, the first SQL-on-Hadoop company (acquired by Teradata). Kamil began his journey with Hadoop and modern MPP SQL architectures about 10 years ago during a doctoral program at Yale University, where he co-invented HadoopDB, the original foundation of Hadapt’s technology. He holds an MS in computer science from Wroclaw University of Technology and both an MS and an MPhil in computer science from Yale University. Kamil is co-author of several US patents and a recipient of 2019 VLDB Test of Time Award.

Showing 10 of 10 results

How data and schema interact with a data lake and data warehouse

How data and schema interact with a data lake and data warehouse

December 6, 2022

After years of building enterprise data warehouses, at first glance, a data lake architecture may appear to be similar to a data warehouse. After...

Join the Team: Realizing the Promise Of Big Data

Join the Team: Realizing the Promise Of Big Data

November 4, 2022

I have been in and around data since my days with Microsoft Access, Excel, and SQL Server circa 2000, and was fortunate to witness...

6 Considerations for Choosing the Right Cloud Data Lake Solution

6 Considerations for Choosing the Right Cloud Data Lake Solution

October 26, 2022

Data lakes have amazing attributes. For one, it enables us to handle vast, complex datasets. Data lakes offer an up-to-date stream of data that...

Five Exciting Big Data Trends Worth Taking a Closer Look

Five Exciting Big Data Trends Worth Taking a Closer Look

September 20, 2022

After Covid-19, many business executives faced one of the toughest leadership tests to turn this challenge into an amazing opportunity. What did the business...

Data Lake Solutions Foster a Range of Analytics Use Cases

Data Lake Solutions Foster a Range of Analytics Use Cases

August 31, 2022

Data lakes enable the implemention of a wide range of solutions, including raw data collection, flexible data access for users, and building fast and...

Building the Data Lake Analytics Stack

Building the Data Lake Analytics Stack

August 24, 2022

In recent years, big data initiatives and investments have reached an all time high across all enterprises — and the pace of investment is...

Starburst Enriches Google BigQuery’s Customer Experience with Access to Data Across Hybrid, Cross-Cloud, Salesforce, and Data Warehouses

Starburst Enriches Google BigQuery’s Customer Experience with Access to Data Across Hybrid, Cross-Cloud, Salesforce, and Data Warehouses

April 5, 2022

At Starburst, we’re partnering with Google Cloud to allow hybrid and cross-cloud federation of data and analytics. With this new offering, Starburst supports data...

Why Performance Matters: Parquet, Delta Lake, Dynamic Filtering

Why Performance Matters: Parquet, Delta Lake, Dynamic Filtering

August 26, 2021

My fascination with SQL query performance started quite some time ago and I contributed a paper on efficient processing of data warehousing during my...

Why Data Lakehouse Architecture Now?

Why Data Lakehouse Architecture Now?

July 20, 2021

Recently I presented with my colleagues, Justin Borgman, CEO of Starburst, and Daniel Abadi, Chief Scientist, at The Data and AI Summit by Databricks...

How to Prepare for Hadoop’s Uncertain Future

How to Prepare for Hadoop’s Uncertain Future

July 30, 2020

Back in 2008, when I first started working with Hadoop as a graduate student at Yale Computer Science Department, it was already being touted...

Start Free with
Starburst Galaxy

Up to $500 in usage credits included

  • Query your data lake fast with Starburst's best-in-class MPP SQL query engine
  • Get up and running in less than 5 minutes
  • Easily deploy clusters in AWS, Azure and Google Cloud
For more deployment options:
Download Starburst Enterprise

Please fill in all required fields and ensure you are using a valid email address.

s