DareData Blog

data engineering, data ops, Data Pipelines

Tips to Build a Robust Data Lake Infrastructure

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals.

Why this time it may be different - Digesting Large Language Models and their implications for Society

Irrespective of your stance regarding the speed of technological evolution, one thing is certain: with the latest advances in artificial intelligence and the creation of groundbreaking technologies like GPT-4, there will be profound implications for all of us.

The Lean Structure Startup

DareData was founded in 2019 by Sam and Nuno with the mission of building a network of exceptional professionals in the fields of Data Science and Data Engineering, all well-paid

Business

2023, prepare to take-off

2022 [done]Hey guys, happy new year! This blog aims to disclose initiatives, achievements and adventures we had during the last year but also to share our difficulties. That is

data engineering

Most important Data Engineering Concepts and Tools for Data Scientists

Learn the most important data engineering concepts that data scientists should be aware of - such as data orchestrators, ingestion or infrastructure-as-code

Business, Data Science

DS Building Blocks - Regression vs. Classification

Understand the difference between regression and classification problems

Business, Management, Best data practices

Good data teams / Bad data teams

Understand the main characteristics that set good and bad teams apart.

Technical, Geodata, Geospatial

Locate your Data and Boost it with Geo-Processing

In this post, we'll check how we can work with geographical data using Python.

Business

The best AI safeguards: thoughtful human beings

To make sure your ML strategy doesn't wreak havoc on your brand, data and business teams should be more concerned with the "why" rather than the "how".

Business, Technical

Why hire brilliant when average will do?

About meI've recruited, hired, and worked directly with ~50 technical workers over the last 8 years. And by "worked with" I mean actually worked with. Gone to client meetings with

data strategy, data engineering, mlops, data ops

What does a healthy data ecosystem look like?

Introduction"Data is the 21st century oil". If you work anywhere in the vicinity of data, odds are you've heard some variation of this statement at least once. But while

Business

DS Building Blocks - A quick guide on experimentation for Non-Technical Users

Understand the difference between correlation and causation and know how to integrate data decisions into your business

Business

MLOps = more money

If you are a business person wondering why you should invest in DevOps / MLOps, this is your guide in terms of real live money. We'll try to keep this as non-technical as possible.

Business, Careers

DareData in 2021

DareData is growing with no external investment, no debt, and no hype, while able to work with the best data scientists and data engineers out there. Here, I explain what we think is the root cause of our success, and what is the company set up for 2021.

Business

How to introduce Data Science at your company

Machine Learning, Data Science and Artificial Intelligence are three terms that have been intertwined and used in multiple conversations during the past decade. Probably, in the business world, no other

Business

Helping traditional organizations being more efficient

The world of data science and information technology is a constantly evolving landscape, where dozens of new tools and methodologies are created and updated daily, and many others quickly become

Technical, Medical, Data Pipelines

Data Pipelines in the Healthcare Industry

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. We have heard news of machine learning systems

Business

On FMCG and Retail Forecasting

The importance of having accurate sales forecasts When we think of sales forecasting, a couple of interesting questions unfold: how do most businesses manage their operations without having an accurate

Careers, Technical

Hiring: Data Engineers, Data Scientists

So here's the deal at the time of this writing: we've got a newly created sales team that is starting to fill up our newly created sales funnel.

Careers

Working at DareData

Update: This post was updated in August of 2022 to more accurately reflect the changes our business has undergone as we grow and adapt. Fundamentally our mission, vision, values, and

Business, COVID-19

Sales Forecast updating in times of COVID-19

How can businesses adapt their sales forecast in times of COVID-19? In this post we will look at a practical example, explaining how we are helping a small business to make sound decisions for the future.

Technical

Ghost is better than Medium

We wrote our first few blogs on Medium. Medium was easy to get started with and use. After that, the benefits stopped. Medium does not have a sustainable business model

Business, Cloud

Own your data - on the cloud

When evaluating data collection platforms, many business owners end up being faced with a technically strategic choice without even knowing it. As you check the value props of services like

Business, COVID-19

Free Sales Forecasts

Increase your business’ chances of survival by arming yourself with the best information possible. Are you worried about the long term health of your business?If so, you’re not

Technical, COVID-19

COVID-19 Economic Recovery Model

DISCLAIMER We are not economists. We are not epidemiologists. This is not an academic paper and has not gone through a peer review process. All core assumptions that are related