Breaking Down the Modern Data Stack: Practical Insights for Leveraging Analytics Progress
Sven Balnojanthdpth.com
Breaking Down the Modern Data Stack: Practical Insights for Leveraging Analytics Progress
operational systems that serve as the sources for data; a data warehouse or collection of federated data marts that house and—ideally—integrate the data for a range of analysis functions; and a set of business intelligence and analytics tools that enable decisions from the use of ad hoc queries, dashboards, and data mining.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
The company’s IT organization has been implementing big data technologies—nonrelational databases, open-source data management tools, and distributed commodity server architectures—for several years with an eye toward both cost-reduction opportunities and minimizing response time for customers.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
SeattleDataGuy on Substack
substack.com
To become data-driven, an organization has to leverage data as a strategic asset; and to achieve that, all parts of the organization needs some prodding, and they need some concrete examples of how data is, or could be, enriching and delivering impact.
Carl Anderson • Creating a Data-Driven Organization: Practical Advice from the Trenches
Why is data integration so hard? The data is often in different formats that aren’t easily analyzed by computers – PDFs, notebooks, Excel files (my god, so many Excel files) and so on. But often what really gets in the way is organizational politics: a team, or group, controls a key data source, the reason for their existence is that they are the g... See more
Nabeel S. Qureshi • Reflections on Palantir
ability to combine data reporting, analytics, exploration, protection, and recovery functions on a single big data platform, thereby eliminating the need for complicated programming and specialized skills to tie legacy systems together.