This page covers good quality information sources focused on business intelligence. Unfortunately, there is not much quality Business Intelligence-focused websites. The sources I have found are mainly focused on SQL Server, Data, Excel.
- SQL Authority | feed – Pinal Dave is the author and administrator of the largest SQL blog with about 3600 articles and works as an independent consultant and trainer.
- Jen Underwood | feed – Jen’s blog is one of the few blogs focusing on Business Intelligence – data warehouses, reporting, big data, ETL and more
- SQL ServerCentral | feed – The largest community focused on SQL Server. The site contains lots of articles, discussions and tutorials
- SQL Shack | feed – Blog about databases and SQL Server Administration
- Kdnuggets| feed – Website Gregory Piatetsky-Shapiro focused on Big Data and Data Science
- 1KeyData – Very good website about data warehouses and BI, unfortunately without rss feed
- MSSqltips – Also a great website, but I couldn’t find the rss feed
- Excel Guru | feed – One of the few still active blogs about Excel
- Excel University | feed – Jeff Lenning’s Blog
If you wish to add another websites, please let me know 🙂
Disclaimer: Websites in the list are listed here as high quality sources of information. You can ask me to add your favorite website and i will consider the request. A website may be delisted after revision or at the request of the webmaster…. Contact Me »
Transfer Learning Made Easy: Coding a Powerful Technique
by Kevin Vu on 13. 11. 2019 at 17:00
While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models […]
Beginners Guide to the Three Types of Machine Learning
by Matt Mayo Editor on 13. 11. 2019 at 15:00
The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine […]
How I Got Better at Machine Learning
by Matt Mayo Editor on 13. 11. 2019 at 13:00
Check out this author's collection of tips and tricks that I learned over the years to get better at Machine Learning.
KDnuggets™ News 19:n43, Nov 13: Dynamic Reports in Python and R; Creating NLP Vocabularies; What is Data Science?
by Matt Mayo Editor on 13. 11. 2019 at 12:00
On KDnuggets this week: Orchestrating Dynamic Reports in Python and R with Rmd Files; How to Create a Vocabulary for NLP Tasks in Python; What is Data Science?; The Complete Data Science LinkedIn […]
Performing CRUD operations with a Python SQL Library for SQL Server
by Ben Richardson on 13. 11. 2019 at 11:35
This article covers how to connect a Python application to Microsoft SQL Server using a 3rd party Python SQL library. The library that we are going to use is called “pyodbc”, which is […]
SQL SERVER 2019 – Supports Compatibility Level from 2008 to 2019
by Pinal Dave on 13. 11. 2019 at 1:30
One thing impressed me about the latest version of SQL Server 2019 is its support to Compatibility Level from 2008 to 2019.First appeared on SQL SERVER 2019 – Supports Compatibility Level from […]
Azali dodatki kuracji sa lagodne?
by eldenv80399962 on 13. 11. 2019 at 0:20
Coraz obfitosc Polaków lozy plus dostosowuje dodatki wyplaty. Incydentalnie zastanawiamy sie, albo sa one ubezpieczone gwoli swego ozdrowienia. Bezpieczenstwo suplementów wyplaty […]
aneksy kuracji oraz jednakowoz o je dawac?
by eldenv80399962 on 13. 11. 2019 at 0:09
W biedzie o zdrówko kilkakrotnie wynosimy po rozchwytywane wolny reguly aneksy kuracje sposród otucha, ze wpasuja organizm, przyspiesza uleczanie smakuj sprostuja styl. Nie zawdy […]
How to Speed up Pandas by 4x with one line of code
by George Seif on 12. 11. 2019 at 17:00
While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data […]
So how exactly does Your Male organ Transform as You Age?
by eldenv80399962 on 12. 11. 2019 at 16:28
Like the whole thing into scenery, ones penis goes through a succession associated with switches over your own generation. Apiece step transpires handled customarily by your testosterone planes. […]
Understanding NLP and Topic Modeling Part 1
by Matt Mayo Editor on 12. 11. 2019 at 15:00
In this post, we seek to understand why topic modeling is important and how it helps us as data scientists.
MLOps for production-level machine learning [Nov 14 Webinar]
by Matt Mayo Editor on 12. 11. 2019 at 14:00
This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for […]
Go Beyond Predictions. Optimize Business Impact.
by Jen Underwood on 12. 11. 2019 at 13:20
by Jen Underwood Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s […]
Research Guide for Depth Estimation with Deep Learning
by Derrick Mwiti on 12. 11. 2019 at 13:00
In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.
SQL SERVER – 5 Resources from SQLPASS 2019 – Seattle
by Pinal Dave on 12. 11. 2019 at 1:30
I presented a session on Query Optimizer. In this blog post, we will see 5 important resources related to my session at SQLPASS 2019. First appeared on SQL SERVER – 5 Resources from […]
How to Extract Google Maps Coordinates
by Matt Mayo Editor on 11. 11. 2019 at 19:00
In this article, I will show you how to quickly extract Google Maps coordinates with a simple and easy method.
The Complete Data Science LinkedIn Profile Guide
by mtdearing on 11. 11. 2019 at 17:00
With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, […]
Top Stories, Nov 4-10: 10 Free Must-read Books on AI
by Matt Mayo Editor on 11. 11. 2019 at 15:24
Also: Understanding Boxplots; Probability Learning: Maximum Likelihood; Designing Your Neural Networks; Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch; 5 […]
How Data Analytics Can Assist in Fraud Detection
by Kayla Matthews on 11. 11. 2019 at 15:00
A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how […]
Facebook Adds This New Framework to It’s Reinforcement Learning Arsenal
by Jesus Rodriguez on 11. 11. 2019 at 13:00
ReAgent is a new framework that streamlines the implementation of reasoning systems.
SQL SERVER – Error 17182: Unable to Initialize SSL Support. The Client and Server Cannot Communicate, Because They do Not Possess a Common Algorithm
by Pinal Dave on 11. 11. 2019 at 1:30
Unable to Initialize SSL Support. The client and server cannot communicate, because they do not possess a common algorithmFirst appeared on SQL SERVER – Error 17182: Unable to Initialize SSL […]
How to Write INNER JOIN Which is Actually CROSS JOIN? – Interview Question of the Week #250
by Pinal Dave on 10. 11. 2019 at 1:30
Question: How to Write INNER JOIN Which is Actually CROSS JOIN?Experienced this question another day while working with a client.First appeared on How to Write INNER JOIN Which is Actually CROSS […]
Analyzing SQL Server Query Plans – Watch on Pluralsight
by Pinal Dave on 9. 11. 2019 at 1:30
I have received some really great comments and feedback about this course. This entire week, I discussed various aspects of the query plans.First appeared on Analyzing SQL Server Query Plans – […]
Top October Stories: How to Become a (Good) Data Scientist; Everything a Data Scientist Should Know About Data Management; The Last SQL Guide for Data Analysis
by Gregory Piatetsky on 8. 11. 2019 at 19:30
Also A European Approach to Master's Degrees in Data Science; How YouTube is Recommending Your Next Video
What is Data Science?
by mtdearing on 8. 11. 2019 at 17:00
Data Science is pitched as a modern and exciting job offering high satisfaction. Does its reality really live up to the hype? Here, we show what it's really like to work as a Data Scientist.