Dynatrace

JULY 6, 2022

Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. AI that is based on machine learning needs to be trained. This requires significant data engineering efforts, as well as work to build machine-learning models. Big data automation tools.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

SQL Server According to Bob

FEBRUARY 15, 2018

The conference kicks off next week on Wednesday February 21st with Training Days and lasts through Saturday, February 24th. Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. I’ve known Michael for a very long time.

Engineering 40

Engineering Azure Best Practices Servers 40

The Netflix TechBlog

APRIL 29, 2019

Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. We also use Python to detect sensitive data using Lanius. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165