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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. Adding such business relevance is a simple process: For each user journey, identify the steps— key user actions —and conversion goal.

FinTech 299
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The Ultimate Guide to Open Source Databases

Percona

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.

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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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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).