Tag: Data Engineering

March 27, 2023

Devops teams build their infrastructure as code, automate deployments with continuous integration/continuous delivery (CI/CD), and establish continuous testing as some of the steps to avoid technical debt. Too much technical debt smells like rotting cheese and slows down agile development […]

December 30, 2022

Here’s the definition from our Data Glossary: “The Modern Data Stack (MDS) is a heap of open-source tools to achieve end-to-end analytics from ingestion to transformation to ML over to a columnar data warehouse or lake solution with an analytics […]

October 17, 2022

Data observability is a relatively new discipline in the fields of data engineering and data management. While many are familiar with the longstanding concepts of observability and monitoring in enterprise IT networks and infrastructure, data observability has only really come […]

September 28, 2022

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is […]

August 5, 2022

Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. However, access to the data and data processing tools remains restricted to the selected few technical users or upper management echelons. Data-driven culture cannot […]

February 22, 2022

The primary purpose of implementing a Data Architecture is to standardize the methods and protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made […]

November 24, 2021

Data has three main functions that provide value to the business: To help in business operations, to help the company stay in compliance and mitigate risk, and to make informed decisions using analytics. “Data can have an impact on your […]

August 6, 2021

The 21st century has been characterized by the exponential growth of disruptive technology and its impact in multiple industry sectors – from manufacturing, banking, and finance to health care and retail. This has been accompanied by a concurrent data explosion, […]

July 2, 2021

If there’s one key component for AI success, it’s data. But even organizations steeped in data and well-versed in the use of analytics can struggle to establish reliable, automated data pipelines to fuel machine learning strategies. Discover Financial Services found […]