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Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

DZone

This article sets out to explore some of the essential tools required by organizations in the domain of data engineering to efficiently improve data quality and triage/analyze data for effective business-centric machine learning analytics, reporting, and anomaly detection.

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Choosing an OLAP Engine for Financial Risk Management: What To Consider?

DZone

From a data engineer's point of view, financial risk management is a series of data analysis activities on financial data. The financial sector imposes its unique requirements on data engineering. Before they adopted an OLAP engine, they were using Kettle to collect data. That's when they decided to introduce an OLAP engine.

FinTech 130
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Business observability and customer experience: A competitive edge for financial services

Dynatrace

At the same time, deregulation fuels massive investments in fintech startups and opens doors for tech giants to point their data-centric innovation engines towards financial services. But even well-intentioned customers are not QA engineers, and their problem descriptions can be vague or even misleading.

FinTech 299
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Dynatrace receives AWS ISV Partner of the Year Award in Austria

Dynatrace

Dynatrace functionality built on top of Grail, such as AppEngine and Automation Engine , has enabled us to bring to market offers like the Carbon Impact app. Since first launching Grail on AWS in the fall of 2022, we have since expanded the Dynatrace platform on AWS into new SaaS regions like Brazil and Mumbai.

AWS 246
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers. latency, startup, mocking, etc.) Concluding thoughts.

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The Ultimate Guide to Open Source Databases

Percona

MariaDB uses storage engines that give it a speed boost and enable users to implement distributed storage and distributed transactions. MySQL ranks as the second most popular database management system ( DB-Engines, March 2023 ). PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ).

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How to drive customer obsessed Product Development

Tasktop

In my past career as a Software Engineer at a giant Fintech company, I seldom got the chance to talk with the Product Manager of my team. My Engineering Manager was my only point of contact and I could only imagine what the Product Manager looked like (as he was located on the other side of the world).