Ripple Engineering

MARCH 30, 2023

and we needed a managed solution that would help us deliver models to product use cases within a short amount of time, which led us to choose Databricks. This blog outlines Ripple’s general design and approach for machine learning model lifecycle management using Databricks.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

LinkedIn Engineering

JULY 27, 2023

In this blog post, we will share our progress, challenges, and lessons learned from our Costwiz journey. The Extract phase utilizes Azure Data Factory to manage data ingestion from sources like Azure Kusto Clusters, Delta Live Tables in Azure Databricks, LinkedIn's internal REST endpoints, and Azure Data Lake.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Zalando Engineering

JUNE 9, 2022

The ROI pipeline is a batch based data- and machine learning pipeline powered by Databricks Spark and orchestrated by Apache Airflow. You can read more about the way we measure campaign effectiveness from a functional perspective in our previous blog post. ')[ 1 ]} tags. zip/qu/main/file.py feature_name.{

Database 52

Database Coding Python AWS 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Recommender systems are utilized in various areas, including movies, music, news, books , research articles, search queries, social tags, and products in general. Then you use databricks to analyze the dataset for user recommendation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Zalando Engineering

FEBRUARY 15, 2021

You can read about this transition on our engineering blog. Performance metrics : we must be able to compare the performance between the new and the old version of a model (using the same data) to improve our tagging capabilities. Everything started with a simple Python and scikit-learn setup.

Machine Learning 40

Machine Learning AWS Scala Python 40

phData: Data Engineering

JANUARY 3, 2022

The biggest gain with using Git over Subversion is that your developer’s branching and tagging can be separate from the central repository. First off, you have to define a branching and tagging strategy which takes time to do well. You can tag default (latest) containers along with specific versions of your application.

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. This project also uses DataBricks since it is compatible with AWS. It transfers data using Azure Data Factory (ADF) and summarises data using Azure Databricks and Spark SQL.

Big Data 52

Big Data Coding Project Hadoop 52