Businesses today rely heavily on data and strive to harness its full potential while navigating a constantly changing landscape. The secret is to combine smart analytics with a strong data engineering strategy. As we continue into 2024, data engineering trends and insights will continue to be critical for businesses hoping to prosper in this cutthroat industry. Future-proofing […]
Women in Data: Meet Traceable Founding Engineer Prerana Singhal
The latest installment in our Q&A series with women leaders in data features Prerana Singhal, founding engineer at Traceable. (Read our previous Q&A here.) Prerana Singhal loves a good puzzle, so it’s no surprise that she began her career as a coder, with an interest in deep learning and natural language processing. A founding engineer at Traceable, […]
Is Your Data Ready for Generative AI?
Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]
How Can Digital-Native Companies Overcome Data Security Challenges?
With digitization continuing to impact business enterprises and make them more competitive, there is a looming specter of data security challenges as well. Executives cutting across domains are faced with the challenging job of protecting the data of their respective organizations. However, this needs to be done without degrading their ability to innovate and add value from […]
The Open Data Stack Distilled into Four Core Tools
In this article, we are going to explore core open-source tools that are needed for any company to become data-driven. We’ll cover integration, transformation, orchestration, analytics, and machine learning tools as a starter guide to the latest open data stack. Let’s start with the modern data stack. Have you heard of it or where the […]
The Data Engineer’s Roadmap
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 guaranteed. But, with such great power comes great responsibility. The journey to becoming a successful data engineer […]
How a Modern Data Engineering Stack Can Help Create a Data-Driven Culture
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 exist without the democratization of the data. Data democratization certainly does not mean unrestricted access to all […]
How to Start Using AI at Your Company
So you want to start using AI at your company. Now what? First, evaluate if it has an appropriate place in your company. Many organizations hire a data scientist or an entire AI team with an anticipation of a fast, massive, magical gain. Even though by now most people realize that these expectations are naive, […]
Data Architecture Trends in 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 in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]
How a Cultural Shift Toward Data Democratization Can Improve Analytics
As part of a well-desired culture change of data awareness in an organization, data democratization is a concept that enables easy access to data by anyone. The ease of availability and access to data allows for direct and indirect data monetization, thus improving revenue streams. This concept can be realized through an internal marketplace as […]