March 2018: Data Science Career Path

Presented by Asoka Diggs

Intel Corporation

UPDATED: A PDF of Asoka’s presentation is available for download.

Many are interested in data science as a career. In this presentation, we’ll break data science down into smaller pieces that can be better understood and might help you with deciding if some or all of data science is a career path that you want to pursue. We’ll also get into some of the additional skills critical to success as a data scientist with the objective of being effective and/or contribute meaningfully to a data science project, and not just get the job title.

Continue reading “March 2018: Data Science Career Path”

February 2018: Business Applications of Blockchain Technology

Presented by Mark Wheeler

UPDATED: A PDF of the presentation is available for download.

Blockchain technology is being talked about as one of the next big innovations to take hold across multiple industries. Businesses who focus on transactions, contracts, and assets management are just a few of the initial sectors of the economy which will be disrupted. As the underlying technology begins to take hold, time-consuming and labor-intensive functions will be replaced by automated and “always on” smart processes. Centralized models of trust and authenticity will be replaced by decentralized services and crowd-based consensus algorithms.

Continue reading “February 2018: Business Applications of Blockchain Technology”

January 2018: Hybrid Cloud Data Architecture

Presented by Parth Patel

Big Data Solutions Engineer, Zaloni

As hybrid clouds become more prevalent, IT organizations struggle to deal with moving and managing data. While computation and applications can be outsourced, once data is generated, IT is on the hook to control it as long as it exists. Data governance and data security are particularly difficult to address in hybrid environments. Parth Patel will discuss the importance of creating a standardized data fabric with a common data management platform that can tier access, providing hierarchical data lifecycle management for data lakes. They will discuss “in production” use cases of this tiered data lake approach for Hybrid “Ground to Cloud” environments across multiple industries. Topics during this session include: · Data governance · Data security · Metadata management · Hybrid “Cloud to Ground” architectures

Continue reading “January 2018: Hybrid Cloud Data Architecture”