Architecture Banking Data Engineering Scalability 
CIO
SEPTEMBER 2, 2022
The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.
CIO
AUGUST 31, 2022
The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
FEBRUARY 14, 2023
By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Instant reactions to fraudulent activities at banks. Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal.
Cloudera
JUNE 7, 2022
In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.
Cloudera
DECEMBER 21, 2020
A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. Our data adventure starts with Shaun, a Data Scientist at a global bank. He seeks to quickly discover and learn about available data sets.
Mobilunity
MAY 3, 2024
When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.
Abhishek Tiwari
JULY 12, 2018
Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.
Expert insights. Personalized for you.
246 
Let's personalize your content