Dynatrace

JULY 6, 2022

IT admins can automate virtually any time-consuming task that requires regular application. This requires significant data engineering efforts, as well as work to build machine-learning models. Big data automation tools. What is IT automation? AI that is based on machine learning needs to be trained.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. There is a strong argument for ELT i.e. extract, load, and transform model. Classic ETL.

Big Data 40

Big Data Retail Storage Google 40