What's new on the cloud for data engineers - part 11 (06-09.2023)

It's time for another part of "What's new on the cloud for data engineers". Let's see what happened in the last 4 months.

4-day workshop · In-person or online

What would it take for you to trust your Databricks pipelines in production?

A 3-day bug hunt on a 3-person team costs up to €7,200 in lost engineering time. This workshop teaches you to prevent that — unit tests, data tests, and integration tests for PySpark and Databricks Lakeflow, including Spark Declarative Pipelines.

Unit, data & integration tests
Medallion architecture & Lakeflow SDP
Max 10 participants · production-ready templates
See the full curriculum → €7,000 flat fee · cohort of up to 10
Bartosz Konieczny
Bartosz
Konieczny

This 11th part covers all that happened between 28.05.2023 and 16.09.2023. As previously, I highlighted the most interesting news.

tl;nr. The blog post includes all major changes on the data engineering-like services. If you don't have time passing through all of them, you can find a short list of my top picks for that period:

  1. AWS: Managed Apache Flink in EMR.
  2. AWS: Timestamp-based starting position for Lambda on Apache Kafka.
  3. AWS: Support for querying Apache Iceberg tables
  4. Azure: Entra ID is the new name for Azure Active Directory.
  5. Azure: General availability of the auto-scaling for Stream Analytics jobs.
  6. GCP: Data clean rooms for a simplified data sharing on BigQuery.
  7. GCP: Preview of BigQuery Studio for enhanced data discovery experience.
  8. GCP: Pub/Sub direct synchronization with GCS.
  9. GCP: Event-driven transfers for Storage Transfer Service.

AWS

Athena

Aurora

Batch

Data Sync

Database Migration Service

DocumentDB

DynamoDB

EMR

EventBridge

Timestream

QuickSight

Azure

Backup

Cache for Redis

Cosmos DB

Data Explorer

Database Migration

Event Grid

Functions

HDInsight

Monitor

SQL Database