CIO

JUNE 22, 2023

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s a broad range of roles that fall under the software industry, the most obvious ones being software developer and engineer.

Industry 304

Industry UI/UX Telecommunications Quality Assurance 304

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata discovery and capture refers to extracting metadata across your data assets. Metadata quality assurance.

Tools 59

Tools Technical Review Software Review Systems Review 59

AWS Machine Learning - AI

JANUARY 26, 2024

As part of quality assurance tests, introduce synthetic security threats (such as attempting to poison training data, or attempting to extract sensitive data through malicious prompt engineering) to test out your defenses and security posture on a regular basis.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

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.

Data 63

Data Software Review Technical Review Microservices 63

Cloudera

NOVEMBER 28, 2023

It offers a fully featured open data lakehouse with services including data warehousing, machine learning, and data engineering, in hybrid and multi-cloud environments. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 81

Data Scalability Analytics Quality Assurance 81

Mobilunity

NOVEMBER 24, 2021

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. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52