Analytics Big Data Training Tuning 
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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Netflix TechBlog
APRIL 29, 2019
We are heavy users of Jupyter Notebooks and nteract to analyze operational data and prototype visualization tools that help us detect capacity regressions. CORE The CORE team uses Python in our alerting and statistical analytical work. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.
The Netflix TechBlog
NOVEMBER 20, 2023
IPS enables users to continue to use the data processing patterns with minimal changes. Introduction Netflix relies on data to power its business in all phases. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge.
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.
Expert insights. Personalized for you.
185 
Let's personalize your content