➔ ingestr v1.0.67 - Metrics Type Defaults
ingestr v1.0.67 was published on July 7, 2026. This release is not marked as a prerelease, and the one clear user facing change in the notes is an adjustment to default metrics types. For teams that run ingestr in scheduled data movement jobs, this is the kind of small data shape change that deserves a quick schema and downstream check before the next run.
➔ ingestr v1.0.40 - Braze Source and KPI Window Fix
ingestr v1.0.40 was published on June 23, 2026, with a small but practical set of changes for teams moving product and marketing data. The main user visible item is a new Braze source, backed by catalog wiring so server based connector discovery can expose it. The same release also fixes a KPI window bug that could drop the start day from a metric range.
➔ Data Engineering Fundamentals: Databases, Spark, Data Lakes, and AWS Basics
Previous: Certification Essentials
Book: AWS Certified Data Engineer Associate Study Guide Authors: Sakti Mishra, Dylan Qu, Anusha Challa Publisher: O’Reilly Media ISBN: 978-1-098-17007-3
Chapter 2 is called “Prerequisite Knowledge for Aspiring Data Engineers.” It covers the foundation you need before touching any AWS service. Databases, big data concepts, processing frameworks, data lakes, warehouses, ETL patterns, CI/CD, and AWS basics.
If you already work in tech, a lot of this will feel like a refresher. It’s nice to have it all in one place though. Some of these topics honestly deserve more attention than people give them during cert prep.