article thumbnail

Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

article thumbnail

Data Observability: Better Insights Through Reliable Data Practices

DZone

This is an article from DZone's 2023 Data Pipelines Trend Report. For more: Read the Report Organizations today rely on data to make decisions, innovate, and stay competitive. That data must be reliable and trustworthy to be useful.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

DZone

However, amidst this rapid evolution, ensuring a robust data universe characterized by high quality and integrity is indispensable. While much emphasis is often placed on refining AI models, the significance of pristine datasets can sometimes be overshadowed.

article thumbnail

Essential Guidelines for Building Optimized ETL Data Pipelines in the Cloud With Azure Data Factory

DZone

When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges. This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable.

Azure 306
article thumbnail

Financial Data Engineering in SAS

DZone

Financial data engineering in SAS involves the management, processing, and analysis of financial data using the various tools and techniques provided by the SAS software suite. Here are some key aspects of financial data engineering in SAS: 1.

article thumbnail

Navigating the Divide: Distinctions Between Time Series Data and Relational Data

DZone

Therefore, I found it important to write a piece based on my understanding of time series data versus relational data as someone with a unique understanding of both. I have coded many applications, both client and web, over my career, and I understand the importance of building a well-developed application from the ground up.

Database 304
article thumbnail

The Next Frontier for Observability: Data Ownership With OpenTelemetry

DZone

Observability is a mindset that lets you use data to answer questions about business processes.

Metrics 358