Snowflake

JUNE 28, 2023

It provides familiar APIs for various data centric tasks, including data preparation, cleansing, preprocessing, model training, and deployments tasks. In the warehouse model, users can seamlessly run and operationalize data pipelines, ML models, and data applications with user-defined functions (UDFs) and stored procedures (sprocs).

Python 52

Python Accessible Accessibility Pipeline-centric 52

AltexSoft

JULY 18, 2023

With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency. It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs.

Big Data 52

Big Data Data Process Process Hadoop 52

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. She regularly spreads he knowledge on her YouTube but you can catch her fitness tips on Instagram.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52