Project Botticelli

Most Popular

Presentations (PPTs)

Over 50 of the popular PPTs (not PDFs) on: Artificial Intelligence, Azure ML, Azure AI (incl Cognitive Services and Bots), Data Science, Power BI, Microsoft R and ML Servers, R in general, and advanced analytics. Includes Microsoft Ignite, Data Science Summit and the Advanced Analytics and Data Science Roadshows, as well as various keynotes and roadshows focused on the future of data and databases from global conferences from this and the past years are available here.

Apache Hadoop, Big Data, Microsoft

Apache Hadoop technologies integrate with the entire Microsoft Application Platform on many levels. The purpose of this article is to outline some of those integration points, and to outline the possibilities of solutions and applications that this combination enables. Rafal discusses the business potential of this technology in some detail, focussing on both already-tested, and the more future-oriented applications, at all times trying to answer the question "Why should we use Apache Hadoop in conjunction with the Microsoft platform?".

Introduction to SQL Server 2012 Business Intelligence (Video)

Big Data

In this first, 45-minute module of our training course introducing Microsoft Business Intelligence technologies, we focus on Microsoft SQL Server 2012. The main objective of this video is to introduce the big picture of Microsoft’s data platform engine, released in 2012. This module discusses its 10 key BI innovations: BI Semantic Model (BISM), Analysis Services Tabular Mode, PowerPivot for SQL Server 2012, Power View, Self-Service Data Alerts, Big Data and Apache Hadoop integration, Columnstore Indexes (xVelocity for Data Warehousing), Spatial Data, Unstructured Data, and, briefly, Data Quality Services. Through a number of slides, graphics, and a short demo showing Power View in PowerPoint, you will learn how to take advantage of the newest abilities of SQL Server in your own BI projects. If you would like to deepen your skills, make sure you also watch the remaining modules in this series, which focus on: the new release of PowerPivot for SQL Server 2012, Power View, and the BI Semantic Model and Analysis Services Tabular Mode.

Books about BI

This article lists books about BI, Statistics, Data Warehousing and Management, which we recommend in conjunction with our courses and seminars.

What is Advanced Analytics, Data Science, Machine Learning—and What is their Value?

The most common question Rafal gets asked by budding data scientists is: how can I explain the value of data science to my customers?  This article explains the five key reasons for doing advanced analytics in terms of the short-term and strategic value it provides to business customers. Rafal also takes time to explain the terminology, covering the differences between data mining and machine learning, what is data science and advanced analytics, and he also explains the concept of the scientific method of reasoning.

Next Year in Machine Learning, Data Science, AI and BI

ML, BI, DS, and AI Trends that Shaped 2019

The trends that shaped 2019 and predictions for the future of machine learning and analytics. Why you should abandon Hadoop, brush up on statistics and obsess less about technology.