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.
CIO
MARCH 12, 2024
Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers. Finding overlaps between the applications of AI to both fintech and personal interest puts our team in a unique position to drive new industry growth,” he says.
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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.
Mobilunity
MAY 8, 2023
It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake.
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.
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. Data modeling. Manage ETL processes.
Altexsoft
NOVEMBER 23, 2021
To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. What is data virtualization?
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