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Optimizing DataOps in the Cloud with Zaloni and MongoDB Organizations can use out-of-the-box governance and automation capabilities to modernize, transform, and denormalize data into MongoDB Atlas Data engineers can further implement analytical and reporting use-cases using no-code low-code capabilities in Arena
Zaloni Announces Strategic Partnership with MongoDB to Simplify and . . . The partnership simplifies data migration from legacy systems to MongoDB Atlas, the company’s global cloud database, while providing end-to-end DataOps capabilities through Zaloni’s Arena platform to enable data modernization and new analytics use cases
Build a DataOps platform to break silos between engineers and analysts In this post, we discuss and build a data platform that fosters effective collaboration between engineers and analysts We show you how to enable data analysts to transform data in Amazon Redshift by using software engineering practices— DataOps
DataOps – A Progressive Solution for Data Challenges That’s why DataOps is becoming an effective antidote for data challenges in the evolving digital business landscape Here are the innovative ways for enterprises to implement a successful enterprise-wide DataOps strategy to overcome data challenges
Use This 5-Step Framework to Adopt DataOps in Data Engineering - Gartner Data engineering complexity continues to grow with diverse toolsets, frameworks and increasing data This research outlines DataOps adoption, covering pipeline orchestration, automated testing, CI CD practices and agile methodologies to help data engineers build reliable, scalable data platforms
DataOps: the Future of Data Engineering - HackerNoon Organizations armed with DataOps are better positioned to harness their data's potential, ensuring that data-related challenges are not roadblocks but mere stepping stones toward a data-driven future
DataOps: improving collaboration between data and engineering teams . . . In this article, explore the best practices for integrating DataOps into your organization and strengthening the synergy between your teams, while responding to the challenges and opportunities offered by this innovative approach
UNLOCK YOUR DATA INITIATIVES WITH DATAOPS But if you want to succeed in your DataOps journey, you must be able to operationalize the data Control-M (self-hosted) and Control-M SaaS provide a layer of abstraction to simplify the orchestration of complex data pipelines