Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. They build the foundations of new solutions that move the fintech field forward. The fintech sector has witnessed explosive growth, characterized by rapid innovation and substantial investment.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Dzone - DevOps

FEBRUARY 16, 2023

So in this article, I will talk about how I improved overall data processing efficiency by optimizing the choice and usage of data warehouses. Too Much Data on My Plate The choice of data warehouses was never high on my worry list until 2021. In the company's infancy, we didn't have too much data to juggle.

Data 76

Data ChatGPT Storage Architecture 76

TechCrunch

MAY 7, 2021

Amid the IPO gold rush, how should we value fintech startups. If there has ever been a golden age for fintech, it surely must be now. As of Q1 2021, the number of fintech startups in the U.S. And fintechs now have a multitude of options in terms of how they choose to go public. Image Credits: gonin / Wikimedia Commons.

Fintech 246

Fintech Windows Healthcare Analytics 246

Cloudera

FEBRUARY 15, 2024

Fintech and regulatory arbitrage: The rise of fintech firms poses challenges for financial regulation authorities, as these entities may be subject to little or no oversight. Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models.

Insurance 88

Insurance Compliance Technical Review Banking 88

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Extract, Transform, Load: Understanding ETL Process.

Development 52

Development Storage Recruiting Architecture 52