Accelerate Your Journey to a Modern Data Platform Using Coalesce
Year: 2024
Type: article
Abstract: Accelerate Your Journey to a Modern Data Platform Using CoalesceAbstract Most organizations face challenges while adapting to data platform modernization. The critical challenge that data platforms have faced is improving the scalability and performance of data processing due to the increased volume, variety, and velocity of data used for analytics.This article aims to summarize answers to the challenging questions of data platform modernization, and here are a few questions:How can we onboard new data sources with no code or less code?What steps are required to improve data integrity among various data source systems?How can CI/CD (continuous integration/continuous development) workflows across environments be simplified?How can we improve the testing process?How do we identify data quality issues early in the pipeline?As data platforms become more complex, managing them becomes difficult, and embracing the Data Operations principle is the way to address data operation challenges. We will look into the capabilities of ETL Frameworks and their performance and will examine Coalesce as a solution that supports data operation principles and allows us to build automated, scalable, agile, well-documented data transformation pipelines on a cloud-based data platform.
Source: Figshare
Author: Shaik, Asia Banu
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6939536854
FWCI:
Cites:
Cited by:
Related to: