Oct 10, 2023 · This article provides an overview of the internal tech stack that we use on a daily basis as data engineers at Meta. The idea is to shed some light on the work we do, and how the tools and...

Mar 21, 2023 · You could hobble together a vendor-locked data stack by using the Top-Left section as I mentioned though, and that's not terribly helpful. The section that folks should look at if they were just interested in tools is probably the …

Feb 26, 2024 · At the core of any data engineering tech stack lies the ETL framework. These frameworks facilitate seamless integration, transformation, and validation of diverse data sets, ensuring...

Jun 18, 2020 · News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.

Mar 17, 2025 · Focus on core skills that actually land jobs, and add the rest later. Here’s a breakdown of what to learn NOW vs. what can wait. 1. SQL – The Foundation of Everything. Joins, Aggregations, Window Functions, CTEs Query Optimization & Indexing SQL for ETL & Data Warehousing.

Sep 29, 2023 · What is a Data Stack? A data stack, or data stack architecture, is a collection of tools, technologies, and components that organizations use to manage, process, store, and analyze data. The modern data stack (MDS) is crucial for data-driven businesses and is the foundation for data operations.

Sep 1, 2023 · In the data engineering world, there are four pillars you should consider: Storage, Processing, Integration, and Visualization. Think of them as the essential food groups for a healthy...

Jul 28, 2024 · Given the comprehensive requirements from multiple job postings and industry trends, here is a preferred tech stack for data engineering roles: Python: For data processing, scripting, and...

Oct 31, 2021 · Data engineering teams are increasingly involved in selecting modern data stack tools, integrating them, and keeping costs in check. A significant chunk of the 2017 data engineer’s time and frustration was to process atomic REST APIs to extract data out of SAAS silos and onto your warehouse.

Jun 15, 2024 · New Tech Stack (Modern Data Engineering): Cloud Platforms: Utilizes cloud services such as AWS, Azure, or Google Cloud Platform (GCP) for storage, computing, and analytics. Big Data...