Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. ML workflow, ubr.to/3EJHjvm

Engineering 95

Engineering Raw Data Data Science Scala 95

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. Apache Zeppelin Source: Github Apache Zeppelin is a multi-purpose notebook that supports Data Ingestion, Data Discovery, Data Analytics , Data Visualization , and Data Collaboration.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

U-Next

SEPTEMBER 23, 2022

Financial services firms use big data platforms for risk management and real-time market data analysis. . Big data is used by manufacturers and transportation businesses to manage supply chains and optimize delivery routes. . Understanding The Ecosystem of Big Data .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineering 99

Data Engineering Data Engineer Cloud Engineering 99

LinkedIn Engineering

DECEMBER 20, 2023

It enables models to stay updated by automatically retraining on incrementally larger and more recent data with a pre-defined periodicity. In content moderation classifier development, there are Data ETL (Export, Transform, Load) pipelines that collect data from various sources and store it in offline locations like a data lake or HDFS.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64