Following Episode 71 which was about DevOps for Big Data, Episode 72 focused on databases and it was great to be invited to take part in this one as well
Continuous Discussions (#c9d9) Episode 71: DevOps for Big Data
It was great to be invited back onto the Continuous Discussions podcast for an episode about big data
Big Data London 2016
Feeds for Late Arriving Data
When acquiring data for the data warehouse from source systems, it can be useful to make a clear distinction between the time at which an event occurred, and the time at which the event was recorded by the source system. In the simplest case, the source system records the event at the time it occurs and the anomalies described below do not happen. But in cases where there is a delay between the actual time of the event, and the time the record of the event is received by the source system, then there's a trap that needs to be avoided.
AWS Consulting Partner
We are very pleased to announce that Cloud BI is now an AWS Consulting Partner
Large Table Rebuilds and Other Time Consuming Deployment Steps
Continuous Discussions Podcast
On Tuesday I participated in an online panel on the subject of Continuous Improvement, as part of Continuous Discussions (#c9d9), a series of community panels about Agile, Continuous Delivery and DevOps.
Transient EMR Clusters and Managing Metadata
Benefits of Automated Deployment for Urgent Fixes
This article about the recent S3 slowdown and recovery notes that AWS originally pursued the wrong root cause. There's always a risk of this happening. We discuss the benefits of the ability to revert changes here.