Welcome to the Data & Analytics Course

Navigate the realm of Data & Analytics with our dedicated webinar series. Equip yourself to make informed decisions with Data & Analytics and elevate your skills with our comprehensive course.

Semester 1 classes:

Class 01: Dimensional Modeling & the Star Schema
Class 02: Data Warehousing Architecture Patterns
Class 03: Power BI Reporting

Semester 2 classes:

Class 01: The Modern ELT Process
Class 02: Spotlight on Azure Data Factory

These classes are designed for leaders in IT, Marketing, Sales, Finance, and Operations. Register for the course to receive the password to watch the recordings below.

Classes from Semester 1

The class recordings are available below!

⭐ Class 01: Dimensional Modeling & the Star Schema

Data & Analytics Class 01 has happened!
Register for the course to receive the password for the recording.

This class will explore:

OLTP (transactional) vs OLAP (analytic) data systems
Brief history of data modelling

Started in the 90s (Kimball vs Inmon)
Somewhat abandoned due to the velocity and variety of big data in the data lake
#bringbackdatamodelling - data modelling is making a come back now that systems are able to handle ingestion and transformation of big data faster and with the data lakehouse architecture

Data modeling in the context of Data Warehousing (OLAP) systems
Kimball Dimensional Modeling

Benefits of Kimball Dimensional Modeling

4-Step Dimensional Modeling Process

📊 Class 02: Data Warehousing Architecture Patterns

Data & Analytics Class 02 has happened!
Register for the course to receive the password for the recording.

This class will explore:

Functions of a Data Warehouse

Extraction
Cleaning
Transformation

Integration
Mapping

Loading
Refreshing

Brief history of data warehousing

1990s - Data warehousing
2010s – Advent of the data lake

Benefits of data lake

2020s - Transition to data lakehouse (combines data warehousing and data lake)

Benefits of data lakehouse architecture

📈 Class 03: Power BI Reporting

Data & Analytics Class 03 has happened!
Register for the course to receive the password for the recording.

This class will explore:

Live demo of Power BI Reporting in Power BI Desktop

Ingest data to Power BI
Transform data in Power BI Query Editor
Visualize data
Natural Language Q&A
Built-In AI/ML Visuals
Custom Visuals

Classes from Semester 2

The class recordings are available below!

⚙️ Class 01: The Modern ELT Process: Cloud Computing & Data Extraction

Data & Analytics Class 01 has happened!
Register for the course to receive the password for the recording.

This class will explore:

Many organizations are still using the outdated data extraction process that was developed for on-premise computing environments or ETL (Extract-Transform-Load). In today’s cloud environment, the modern process is now ELT or Extract-Load-Transform.

With the low storage costs of the cloud and virtually unlimited storage capacity without hardware costs, your data cleaning, data filtering, and other data transformation actions can now be done after your data is loaded into your data warehouse. We’ll highlight some organizations that have changed their processes as a result.

🔦 Class 02: Spotlight on Azure Data Factory

Data & Analytics Class 02 has happened!
Register for the course to receive the password for the recording.

This class will explore:

The Azure Data Factory is the tool that enables modern data transformation in the cloud. It can be used to extract data from various sources, load it into your data warehouse and perform transformations like data cleaning and data filtering within your data warehouse.

This class will include a live demo of using Azure Data Factory to build a data pipeline, move data in the cloud, and executing a procedure.

Scott Sugar, ProServeIT

About the Instructor

Scott Sugar

Practice Lead, Data & Analytics, ProServeIT

From the 1980's, when his father used to hand down old computer equipment, to now, Scott Sugar has always had a fascination with technology. The ability to communicate with people, regardless of distance or location, is, in Scott's opinion, one of the best things about tech. With over 20 years of experience in the IT industry, and 17 years at ProServeIT, Scott's areas of expertise include data & analytics, and IT operations, monitoring, and alerting. Scott heads up ProServeIT's Ho Chi Minh City, Vietnam office. He has spent the majority of his adult life in Asia, and speaks 3 languages.

The roof, potentially the most important element of the Framework, is insights and automation. This is what allows us to make actionable decisions from our own data.

Everything below the roof in this framework is an asset. The data that we capture in our core business applications, or the data that we capture from our employees or our customers will enable us to make better decisions. Like any asset, we need to be able to activate it.

Join Scott to learn ways to turn your own data into actionable insights.