Home Page http://hotdesigirlsfuck.com
Data wrangling is often used to describe what data engineers do. However, a universally accepted definition of the concept has proven difficult to find. It was therefore fortuitous that I came across this piece on Simplilearn titled “What Is Data Wrangling? Overview, Importance, Benefits, and Future.” It shares some interesting and insightful points and so …
My colleague and I were fortunate enough to be invited to attend the recent Corinium CDAO Melbourne 2024 conference held from 2-4 September 2024. Corinium has an interesting approach to this annual event by alternating between keynote and breakout sessions, guided panel discussions, and interactive fireside chats. Such a structure makes for an insightful and …
Last month, I explored the challenges created by data silos and how pragmatic approaches like a data lakehouse architecture and data steering teams can assist in breaking down the silos. In this month’s post, my attention on the topic turns to more strategic drives that can help achieve better enterprise-wide data sharing and overcome the …
Data silos are pervasive in organisations around the world. At many of the companies where I have worked, these data silos have made it difficult to ensure system integration, data governance, and effective reporting. Following an insightful industry piece I recently came across, for my blog article this month, I decided to focus on and …
Given the growing adoption of artificial intelligence (AI), and companies across industry sectors wanting to become truly data-driven, having a Chief Data Officer (CDO) becomes non-negotiable. However, not every organisation truly understands what this role encompasses.
Last month I addressed how data quality is perceived by different specialists inside the organisation. This month, I turn the spotlight onto what makes modern data quality management different from traditional approaches. Edwin Walker’s Data Science Central article ‘Difference between modern and traditional data quality’ provides an excellent starting point.
The quality of the data we work with has a significant impact on the quality of the insights we can extrapolate for the business. Following on from my recent mini-series on the evolving data-related roles, it was interesting to come across Edwin Walker’s article on Data Science Central titled: ‘How do different personas in an …
Last month, I discussed the evolving roles of the Chief Data Officer (CDO), Chief Analytics Officer (CAO), and the Data Engineer. In my blog post this month, I will delve deeper into several of the other roles related to data engineering, as well as the evolution of the role of the Business Analyst.
I was fortunate to have been invited to attend the recent ‘Data & Analytics in Healthcare’ conference in Australia which took place at the end of March. The event was positioned as a ‘deep-dive into the data transformation taking place in healthcare across Australia – and aimed to explore efforts to transform the use of …
Previously, I wrote about the two-tiered data lakehouse with an analytical sandbox and a curated data warehouse in the second layer – the one for productised BI and the other for data science work. I was therefore intrigued when coming across a Forbes article titled ‘Three Keys to a Harmonious Relationship between Data Science and …
