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Avatar

Wayne Yaddow

Data Quality Analyst at Dataversity

RHINEBECK, US

Joined Feb 2015

Stats

Reputation: 924
Pageviews: 106.9K
Articles: 5
Comments: 1
  • Articles
  • Trend Reports
  • Comments

Articles

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ETL, ELT, and Reverse ETL
What are the advantages of ETL? Is ETL preferable to ELT for your data pipeline use cases? Why and when is reverse ETL valuable for your data warehouse (DW)?
May 22, 2022
· 7,115 Views · 1 Like
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Developing Your Criteria for Choosing APM Tool Providers
APM tools allow you to monitor and manage the performance and uptime of your applications. Learn helpful criteria for choosing an APM tool provider here.
January 29, 2022
· 3,130 Views · 4 Likes
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Part 3: How to Develop a Data Integration Master Test Plan
In the final data integration series article, we'll show you how to develop a data integration master test plan, the cornerstone of data verification efforts.
August 27, 2020
· 5,137 Views · 2 Likes
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Part 1: Best Practices for Testing Data Integrations
Follow along in part one as we discover why assessing risks early and often is key and learn the best practices for addressing risks and risk mitigation.
August 11, 2020
· 6,341 Views · 5 Likes
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Building an End-to-End Data Warehouse Testing Strategy and Test Plan
Let's focus on how to build an end-to-end data warehouse testing strategy and test plan.
June 11, 2018
· 26,145 Views · 5 Likes

Trend Reports

Trend Report

Data Pipelines

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.

Data Pipelines

Trend Report

Application Performance Management

As enterprise applications increasingly adopt distributed systems and cloud-based architectures, the complexity of application performance management (APM) has grown accordingly. To address this new set of challenges, traditional APM is making a push towards intelligent automation (AIOps), self-healing applications, and a convergence of ITOps and DevOps. DZone’s 2021 Application Performance Management Trend Report dives deeper into the management of application performance in distributed systems, including observability, intelligent monitoring, and rapid, automated remediation. It also provides an overview of how to choose an APM tool provider, common practices for self-healing, and how to manage pain points that distributed cloud-based architectures cause. Through research and thoughtfully curated articles, this Trend Report offers a current assessment of where real enterprises are in their journey to design APM approaches for modern architectures.

Application Performance Management

Trend Report

Data Warehousing

Data warehousing has become an absolute must in today’s fast-paced, data-driven, modern business landscape. As the demand for informed business decisions and analytics continues to skyrocket, data warehouses are gaining in popularity, especially as more and more businesses adopt cloud-based data warehouses.DZone’s 2020 Data Warehousing Trend Report explores data warehouse adoption across industries, including key challenges, cloud storage, and common data tools such as data lakes, data virtualization, and ETL/ELT. In this report, readers will find original research, an exclusive interview with "the father of data warehousing," and additional resources with helpful tips, best practices, and more.

Data Warehousing

Comments

Data Governance: Data Architecture (Part 2)

Jul 08, 2023 · Sukanya Konatam

Please tell me where to find "Part 1" of this topic.

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