Charles Humble

1 week ago | thenewstack.io | Charles Humble

The classical machine learning paradigm requires the aggregation of user data in a central location where data scientists can pre-process it, calculate features, tune models and evaluate performance. The advantages of this approach include being able to leverage high-performance hardware (such as GPUs), and the scope for a data science team to perform in-depth data analysis to improve model performance.

2 weeks ago | thenewstack.io | Charles Humble

Alongside data lake support for Microsoft Fabric, data integration vendor Fivetran expanded its Managed Data Lake Service to support Google’s Cloud Storage (GCS), following previous launches on AWS and Azure. The Fivetran Managed Data Lake Service, which the vendor launched last year, automatically converts data into open table formats, specifically Apache Iceberg and Delta Lake, and facilitates interoperability with popular query engines and metadata catalogs.

1 month ago | thenewstack.io | Charles Humble

When I first started as an enterprise developer in the mid 1990s, everything ran in our on-premises data centers, and procurement was slow. Purchasing servers, racking them and installing all the base software on them would take around three months, sometimes longer. A side effect was that when we were sizing a project to forecast how much hardware was needed, we would typically overprovision.

2 months ago | thenewstack.io | Charles Humble

API governance is not, I will admit, a topic that sets the pulse quickening. It might best be described as boring but important. Done well, it can help maintain consistency and promote reuse across APIs. It should also provide a mechanism by which both internal and external customers can provide feedback and request changes. These requests can then be assessed against other competing priorities so that decisions can be made about if, how and when to implement them.

2 months ago | lxer.com | Steven Vaughan-Nichols |Rak Siva |Charles Humble |Sijie Guo

Programmers love the best and newest releases. Businesses? Not so much. They want stability. So it shouldn’t have been much of a surprise that Canonical, Ubuntu Linux‘s parent company, has unveiled its Kubernetes Long Term Support (LTS) offering, which provides an unprecedented 12 years of support. For example, the most recent Canonical Kubernetes release, 1.32, will be supported until 2037.