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About Us

Data Works MD consists of professionals, students, and enthusiasts living and working in the Maryland area that are interested in topics related to data science, data analytics, data products, software engineering, machine learning, and other data engineering topics.

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Upcoming

Register for one of our upcoming events!

Videos

Recent videos of our events can be found below. More are available at YouTube.

Event

November 9, 2021

Introducing D3FEND, A Knowledge Graph of Cybersecurity Countermeasures

D3FEND is a knowledge base, but more specifically a knowledge graph, of cybersecurity countermeasure techniques. In the simplest sense, it is a catalog of defensive cybersecurity techniques and their relationships to offensive/adversary techniques. The primary goal of the initial D3FEND release is to help standardize the vocabulary used to describe defensive cybersecurity technology functionality.

Event

September 22, 2021

Enabling Cross-Boundary Data Science with Privacy Enhancing Tech

As data protection becomes more important, it becomes more and more challenging to easily work with such data. How do you both secure data while making it accessible? With homomorphic encryption, users can do just that. Join us in October to hear from one of the leaders in data protection on how data scientists can work with encrypted data.

Event

September 22, 2021

Idiomatic Pandas

Pandas can be tricky, and there is a lot of bad advice floating around. This talk will cut through some of the biggest issues I've seen with Pandas code after working with the library for a while and writing two books on it.

Event

August 27, 2021

Estimating Lottery Revenue on a Quantum Computer

Learning quantum computing can be daunting due to the need to learn matrix algebra and probabilities. However, that doesn’t have to be the case. You can solve existing business problems with just college algebra and python. This presentation will show how an optimization problem can be set up on a quantum computer. The business problem is based on a state lottery trying to minimize sales (consumer taxes) in specific locations, while maximizing state-wide total revenue. This presentation offers a first-step approach to learning quantum computing by walking through code that runs on a D-Wave adiabatic quantum machine.

Event

July 24, 2021

Introducing Datawave - Scalable Data Ingest and Query

In this talk, we introduce Datawave, a complete ingest, query, and analytic framework for Accumulo. Datawave, recently open-sourced by the National Security Agency, capitalizes on Accumulo's capabilities, provides an API for working with structured and unstructured data, and boasts a robust, flexible, and scalable backend. We'll do a deep dive into Datawave's project layout, table structures, and APIs in addition to demonstrating the Datawave quickstart—a tool that makes it incredibly easy to hit the ground running with Accumulo and Datawave without having to develop a complete application.

Event

June 17, 2021

Graph Analytics - Rich Relationships and Powerful Insights

Demo-Driven exploration of graph analytics to identify criminals, discover trolls, analyze social networks, and more using community detection, centrality, link prediction, and graph embedding for incorporation into machine learning models, along with creating graphs from Wikipedia via wikidata. Includes all you need to get started and a review and use of two graph query languages – cypher and SPARQL across multiple environments including Neo4J, Amazon Neptune, and Nvidia Cuda graphs for large scale graph processing using GPUs. Relationships are what it is all about

Newsletter

Interesting articles, tools, and tutorials. More are available at our newsletter archive.

Data Works MD November 2021 Issue

ML in production, operational analytics, survival analysis in Python, ...

Data Works MD October 2021 Issue

Salary survey, quantum NLP, clustering, and more...

Data Works MD September 2021 Issue

Graph theory, GNN, ethical AI, and analyzing census data, ...

Partners

We are proudly supported by the following organizations.