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Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

DZone

JULY 31, 2024

This article sets out to explore some of the essential tools required by organizations in the domain of data engineering to efficiently improve data quality and triage/analyze data for effective business-centric machine learning analytics, reporting, and anomaly detection.

Data Engineering

Data Engineering FinTech Engineering Analytics

Choosing an OLAP Engine for Financial Risk Management: What To Consider?

DZone

AUGUST 16, 2023

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.

FinTech

FinTech Engineering Data Engineering Latency

Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

Choosing an OLAP Engine for Financial Risk Management: What To Consider?

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