This is a web site focusing on technologies for:
- Gathering data from various sources (examples: online surveys, web page scraping, network feeds, legacy documents and databases), including accessing very large amounts of data.
- Storing analytical data in traditional multidimensional (data warehouse) formats, and in modern noSQL key/value, columnar, document, and graph-type databases.
- Preparing (editing, integrating from separate sources, translating formats, or validating) data for analysis.
- Analyzing data using descriptive (“slice and dice”) or predictive statistics, advanced machine learning and data mining technologies.
- Developing web-based, real time reporting systems and executive dashboards.
- Using the Internet and web to automate data-centric business processes.
Who’s it for?
- Business and non-profit managers and decision makers.
- Data analytics engineers and data analysts.
- Scientific researchers.
- IT Managers with technically challenging, data-intensive projects.
- Education policy analysts and researchers.
- Startups working on data-related products or services.
- Financial analysts.
- Health care analysts.
- Marketing and economic researchers.
To find out more about me, and how I might help you, please take a look at the About page.