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.

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.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 269
article thumbnail

Our First Netflix Data Engineering Summit

The Netflix TechBlog

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

article thumbnail

Data Integration in Real-Time Systems

DZone

In the rapidly evolving digital landscape, the role of data has shifted from being merely a byproduct of business to becoming its lifeblood. With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial. However, it's no longer enough to assimilate data in isolated, batch-oriented processes.

Systems 281
article thumbnail

Best Practices for Building the Data Pipelines

DZone

In my previous article ‘ Data Validation to Improve Data Quality ’, I shared the importance of data quality and a checklist of validation rules to achieve it. Those validation rules alone may not guarantee the best data quality. Most pipelines are automated and run on a fixed schedule.

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 292