InfoQ

APRIL 7, 2021

Recently, Google announced A2 Virtual Machines (VMs)' general availability based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine.

Virtualization 56

Virtualization Google Availability Engineering 56

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. And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? What is IT automation?

Artificial Intelligence 189

Artificial Intelligence Tuning Strategy Big Data 189

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.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

FEBRUARY 18, 2020

Along with R , Python is one of the most-used languages for data analysis. there’s a Python library for virtually anything a developer or data scientist might need to do. Python libraries are no less useful for manipulating or engineering data, too.). In aggregate, data engineering usage declined 8% in 2019.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Abhishek Tiwari

DECEMBER 22, 2017

In ELT model, you can load your events and entities in raw format into a data lake backed by a cloud object storage service such as Amazon S3 or Google Cloud Storage. You can also use cloud and SaaS services such as Google BigQuery, Amazon Redshift Spectrum, Amazon Athena, Qubole to implement ELT approach.

Big Data 40

Big Data Retail Storage Google 40

O'Reilly

SEPTEMBER 15, 2021

As Figure 3 shows, the percentage of men and women respondents who saw no change was virtually identical (18%). Data and AI professionals—a rubric under which we include data scientists, data engineers, and specialists in AI and ML—are well-paid, reporting an average salary just under $150,000. The Last Word.

Azure 145

Azure Social Media Programming AWS 145