AWS re:Invent 2022: Swami Sivasubramanian Keynote

A summary of AWS VP of Data and Machine Learning Dr. Swami Sivasubramanian’s keynote at re:Invent 2022 including major launch announcements.
AWS re:Invent 2022: Adam Selipsky Keynote

A summary of AWS CEO Adam Selipsky’s keynote at re:Invent 2022, including major launch announcements, centred around this year’s theme.
AWS re:Invent 2022: Day 0 Announcements

A summary of some of the new features that were announced in the lead up to AWS re:Invent 2022, with more to come this week.
Cevo’s Guide to AWS re:Invent 2022 – Data

Welcome to Cevo’s guide to AWS re:Invent for 2022, where we share session recommendations designed to enhance your cloud transformation journey.
Cevo’s Guide to AWS re:Invent 2022 – Cloud Native

Welcome to Cevo’s guide to AWS re:Invent for 2022, where we share session recommendations designed to enhance your cloud transformation journey.
Data Build Tool (dbt) for Effective Data Transformation on AWS – Part 4 EMR on EKS

The data build tool (dbt) is an effective data transformation tool and it supports key AWS analytics services – Redshift, Glue, EMR and Athena. In part 4 of the dbt on AWS series, we discuss data transformation pipelines using dbt on Amazon EMR on EKS. Subsets of IMDb data are used as source and data models are developed in multiple layers according to the dbt best practices.
Data Build Tool (dbt) for Effective Data Transformation on AWS – Part 3 EMR on EC2

The data build tool (dbt) is an effective data transformation tool and it supports key AWS analytics services – Redshift, Glue, EMR and Athena. In part 3 of the dbt on AWS series, we discuss data transformation pipelines using dbt on Amazon EMR. Subsets of IMDb data are used as source and data models are developed in multiple layers according to the dbt best practices.
Data Build Tool (dbt) for Effective Data Transformation on AWS – Part 2 Glue

The data build tool (dbt) is an effective data transformation tool and it supports key AWS analytics services – Redshift, Glue, EMR and Athena. In part 2 of the dbt on AWS series, we discuss data transformation pipelines using dbt on AWS Glue. Subsets of IMDb data are used as source and data models are developed in multiple layers according to the dbt best practices.
Inside The Hive with Annabel Preacher

Learn more about Annabel Preacher’s career journey, what she loves most about working at Cevo, and her tips for other women considering entering the IT industry.
Data Build Tool (dbt) for Effective Data Transformation on AWS – Part 1 Redshift

The data build tool (dbt) is an effective data transformation tool and it supports key AWS analytics services – Redshift, Glue, EMR and Athena. In part 1 of the dbt on AWS series, we discuss data transformation pipelines using dbt on Redshift Serverless. Subsets of IMDb data are used as source and data models are developed in multiple layers according to the dbt best practices.