Pinterest Engineering

SEPTEMBER 12, 2023

Even if we horizontally scale the training workload through distributed training, it is very challenging to find the right balance between training throughput and cost. Furthermore, In order to improve the data processing throughput, the ML engineer simply needs to elastically scale the CPU resources managed by the heterogeneous Ray cluster.

Data Process 87

Data Process Process Datasets Scala 87

Pinterest Engineering

OCTOBER 31, 2023

All member clusters share a standard Kubernetes setup across control plane and data plane capabilities, and they support heterogeneous capabilities such as different workload types and hardware selections. PinCompute is multi-tenant, where a variety of types of workloads from different teams and organizations share the same platform.

Architecture 95

Architecture Pipeline-centric Accessible Accessibility 95

DataKitchen

SEPTEMBER 20, 2021

Data errors infringe on work-life balance. DataKitchen also creates a common framework that can accept heterogeneous tools used in each node. So each data engineer or data scientist can use the tool they prefer, and the DataKitchen Platform handles the interfaces. Provisioning of hardware assets. For example: .

Data Pipeline 98

Data Pipeline Data Cleanse Process Architecture 98

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40