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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Partner Zones
AWS Cloud
by AWS Developer Relations
The Latest "Software Integration: The Intersection of APIs, Microservices, and Cloud-Based Systems" Trend Report
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  1. DZone
  2. Trend Reports
  3. Data Pipelines
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Data Pipelines

Ingestion, Warehousing, and Processing

Data is at the center of everything we do. As each day passes, more and more of it is collected. With that, there’s a need to improve how we accept, store, and interpret it. What role do data pipelines play in the software profession? How are data pipelines designed? What are some common data pipeline challenges? These are just a few of the questions we address in our research.

In DZone’s 2022 Trend Report, "Data Pipelines: Ingestion, Warehousing, and Processing," we review the key components of a data pipeline, explore the differences between ETL, ELT, and reverse ETL, propose solutions to common data pipeline design challenges, dive into engineered decision intelligence, and provide an assessment on the best way to modernize testing with data synthesis. The goal of this Trend Report is to provide insights into and recommendations for the best ways to accept, store, and interpret data.

Published: May. 19, 2022

Featured Authors

John Esposito
Technical Architect, 6st Technologies
Sudip Sengupta
Technical Writer, Javelynn
Miguel Garcia
VP of Engineering, Nextail Labs
Wayne Yaddow
Data Quality Analyst, Dataversity
Eric D. Schabell
Director Technical Marketing & Evangelism, Chronosphere
Ben Herzberg
Chief Scientist, Satori
Tuhin Chattopadhyay
Founder and CEO, Tuhin AI Advisory
Caitlin Candelmo
Director, Content Products, DZone

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