Towards Data Science

FEBRUARY 9, 2024

This article is part of a project that’s split into two main phases. This first part project is ideal for beginners in data engineering, as well as for data scientists and machine learning engineers looking to deepen their knowledge of the entire data handling process. Overview of the data pipeline. Image by the author.

Kafka 76

Kafka Data Engineering Data Engineer PostgreSQL 76

ProjectPro

JULY 23, 2021

Before we get into the technicalities on how one can leverage any AWS service and build some exciting AWS projects, here is a quick overview of AWS to understanding the cloud platform and its services. Rapid Document Conversion 2. Cloud Computing technologies are now an integral part of business processes and operations.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Christophe Blefari

AUGUST 4, 2023

Still, the idea of this post is to give you an overview of existing tools and how everything fits together. 💡 If you just want a few articles to read, just go to the bottom of the email. Small Fast News ⚡️ If you want dont care about this, here a few articles you might want to read by the pool.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Pinterest Engineering

JULY 25, 2023

As a core part of our architecture, we created a dedicated service (the Credential Vending Service, or CVS) to securely perform AssumeRole calls which could map users to permissions and Managed Policies. list, read, write) on different S3 endpoints. User 2 is a member of two FGAC LDAP groups: i.

Big Data 95

Big Data Accessible Accessibility Hadoop 95

Towards Data Science

NOVEMBER 4, 2023

Often it is a data warehouse solution (DWH) in the central part of our infrastructure. I previously wrote about it in one of my stories on Apache Iceberg table format [2]. Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks. ML model training using Airflow.

Data Engineering 86

Data Engineering Data Engineer Engineering BI 86