Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. You don’t have to write ETL jobs.” That lowers the barrier to entry because you don’t have to be an ETL developer. In the diagram above, the bottom layer of the stream are the data management and governance capabilities.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

Precisely

APRIL 6, 2023

In a recent webinar hosted by Fintech Nexus, Doug Lopp, CTO of Bend by FNBO, remarked on the role of technology in today’s financial services organizations: “Business and technology are starting to align much more closely than they ever have before, to the point where they are indistinguishable. Real-time data is the goal.

Data Quality 52

Data Quality Data Pipeline Analytics Analytics 52

Pickl AI

JULY 3, 2023

Gain hands-on experience with data integration: Learn about data integration techniques to combine data from various sources, such as databases, spreadsheets, and APIs. Stay updated on industry trends: BI technologies and practices evolve rapidly.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Flipboard

JULY 3, 2025

BCT Digital’s rt360 EWS is designed for flexibility, integrating both traditional methods, such as ETL, database links and flat files, and modern approaches, such as application programming interfaces (APIs) and streaming feeds. by Smruthi Nadig Non-performing assets (NPAs) have long plagued India’s banking and financial services sector.

AI 68

AI AI Database Machine Learning 68

Flipboard

JUNE 16, 2025

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). MySQL, PostgreSQL) and non-relational (e.g.,

Python 55

Python AWS Machine Learning Machine Learning 55