Data Analytics & Business Intelligence

What data teams need to build with AI to make self-healing data architecture a practical reality The post 7 Crucial Barriers Between Data Teams and Self-Healing

This happened a few months ago when I was working on an analysis project that dealt with time-series data. The dataset was large (10 years of data). I was using

The bicycle retail industry operates within a highly competitive environment where profitability is influenced not only by sales volume… Continue reading on Med

I built an unusual educational website: a bilingual (EN/ZH) platform that maps the ancient Taiji...

I’ve been a data engineer for over 20 years. I started when “big data” meant a few terabytes and tuning queries by hand was half the job… Continue reading on Me

A weekly curated update on data science and engineering topics and resources. Continue reading on Medium »

I trained as a statistician before I became a data scientist. That order matters more than people think when choosing between these two… Continue reading on Med

I trained as a statistician before I became a data scientist. That order matters more than people think when choosing between these two… Continue reading on Med

The skills companies value today are very different from what they looked for just a few years ago. Continue reading on The Startup »

Someone sends you a CSV. Then a folder of CSVs. Then a CSV that's actually tab-separated but named...

Is Your Modern Data Stack Still Running on Manual Labor? Continue reading on Medium »

Introduction As datasets grow larger and analytical workloads become more demanding, query...

When I decided to transition towards Data Engineering, I knew SQL would be the foundation of everything. Continue reading on Medium »

Step into the future of analytics with the Data Analytics with AI Course at the Institute of Data Science and Analytics, Janakpuri… Continue reading on Medium »

What every Data Engineer needs to understand before AI becomes a standard part of every Data platform! Continue reading on Medium »

Or why we built unpublished.pub Continue reading on Medium »

Data is becoming one of the most valuable assets for businesses. From startups in Kochi to multinational companies in Thiruvananthapuram… Continue reading on Me

When our team sat down to plan our internship project, we knew we didn’t want to build “just another CRUD app.” We wanted something that… Continue reading on Me

From transactional systems to trusted analytical data products Continue reading on Level Up Coding »

Introduction Ask ten people what data science is and you'll hear things like...

Traffic to the world’s reference library has fallen by about a quarter in three years. The cause is stranger than the headlines suggest… Continue reading on Reg

Di era data saat ini, SQL dan Power BI menjadi dua keterampilan yang paling banyak dicari dalam bidang analisis data. SQL digunakan untuk… Continue reading on M

Let’s be real for a second. Aajkal har doosra insaan AI, machine learning, aur data science ki baat kar raha hai. It is easy to get… Continue reading on Medium

For the last decade, the workflow for Business Intelligence hasn't changed much: A business...

Why you are not getting any callbacks Continue reading on Data Science Collective »

Reading the Cortex one-pager, and why this is the textbook example of treating structured data as text. Continue reading on Data Science Collective »

A year ago, if someone had asked me what Data Science was, I probably would have given a vague answer involving artificial intelligence… Continue reading on Med

We live in the age of data. Every day, companies make millions of decisions backed by analysis, algorithms, and insights derived from vast… Continue reading on

What working on interpolation in MapServer taught me about maps, uncertainty, and the mathematics of the unseen. Continue reading on Medium »

Data structures sound scary. They are not. Let this simple project show you exactly what they are and why they matter. Continue reading on Medium »

Data Analytics vs Data Science vs Business Intelligence: Understanding the Differences and Choosing the Right Career Path Data is everywhere. Every online purch

When I first entered Data Science, I thought the profession was primarily about models. Continue reading on Medium »

Most SaaS apps collect tons of data but give customers almost nothing back. Here's what customer-facing analytics looks like in practice, and how to build it ri

Two claims leave the billing system looking identical. Same patient, same procedure, same payer. One gets paid. The other gets denied, and… Continue reading on

A Plain-English Guide to Data Sovereignty on the Continent. Continue reading on Medium »

I still remember the first time I opened a large survey dataset. Continue reading on Medium »

Patna’s professional landscape is gradually changing as businesses, institutions, and entrepreneurs adopt digital tools to improve… Continue reading on Medium »

The three clocks Flink knows about, and why picking the wrong one gives you numbers that are confidently wrong Continue reading on Towards Data Engineering »

Manually converting invoice data from PDF or Excel files into CSV format is one of the most...

How I turned messy Naver review keywords into a "workability score" for 8,000+ Seoul cafes, aggregated it by district, and published the whole thing as a free d

A beginner-to-interview-ready series on Apache Spark with PySpark and Databricks. Continue reading on Medium »

FXpeek's annual reference report for dated exchange-rate lookup, CSV exports, widgets, and lightweight JSON API workflows.

Yes, I am going back to the basics, reviewing the concept of P-value, after soullessly reading and accepting that “P-value < 0.05 as… Continue reading on Medium

Design effective completions dashboards: choose KPIs, model data for Power BI/Tableau, visualize progress, and automate distribution to stakeholders.

Your clients don’t care about your backtest. They care about whether they can understand the chart you put in front of them. Continue reading on Medium »

I still remember the first time I came across words like ANOVA, MANOVA, MANCOVA, Factor Analysis, Clustering, Logistic Regression,etc. Continue reading on Mediu

When building machine learning models to predict continuous values — like housing prices, stock trends, or supermarket clearance discounts… Continue reading on

When building machine learning models to predict continuous values — like housing prices, stock trends, or supermarket clearance discounts… Continue reading on